S-Index (Parallel Colt 0.9.4 - API Specification)

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Parallel Colt 0.9.4

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S

s - Static variable in class cern.clhep.Units
sample(int, double[], double) - Method in class cern.colt.matrix.tdcomplex.DComplexFactory1D: Constructs a randomly sampled matrix with the given shape.
sample(int, int, double[], double) - Method in class cern.colt.matrix.tdcomplex.DComplexFactory2D: Constructs a randomly sampled matrix with the given shape.
sample(DComplexMatrix2D, double[], double) - Method in class cern.colt.matrix.tdcomplex.DComplexFactory2D: Modifies the given matrix to be a randomly sampled matrix.
sample(int, double, double) - Method in class cern.colt.matrix.tdouble.DoubleFactory1D: Constructs a randomly sampled matrix with the given shape.
sample(DoubleMatrix2D, double, double) - Method in class cern.colt.matrix.tdouble.DoubleFactory2D: Modifies the given matrix to be a randomly sampled matrix.
sample(int, int, double, double) - Method in class cern.colt.matrix.tdouble.DoubleFactory2D: Constructs a randomly sampled matrix with the given shape.
sample(int, float[], float) - Method in class cern.colt.matrix.tfcomplex.FComplexFactory1D: Constructs a randomly sampled matrix with the given shape.
sample(int, int, float[], float) - Method in class cern.colt.matrix.tfcomplex.FComplexFactory2D: Constructs a randomly sampled matrix with the given shape.
sample(FComplexMatrix2D, float[], float) - Method in class cern.colt.matrix.tfcomplex.FComplexFactory2D: Modifies the given matrix to be a randomly sampled matrix.
sample(int, float, float) - Method in class cern.colt.matrix.tfloat.FloatFactory1D: Constructs a randomly sampled matrix with the given shape.
sample(FloatMatrix2D, float, float) - Method in class cern.colt.matrix.tfloat.FloatFactory2D: Modifies the given matrix to be a randomly sampled matrix.
sample(int, int, float, float) - Method in class cern.colt.matrix.tfloat.FloatFactory2D: Constructs a randomly sampled matrix with the given shape.
sample(int, int, int) - Method in class cern.colt.matrix.tint.IntFactory1D: Constructs a randomly sampled matrix with the given shape.
sample(int, int, int, int) - Method in class cern.colt.matrix.tint.IntFactory2D: Constructs a randomly sampled matrix with the given shape.
sample(IntMatrix2D, int, int) - Method in class cern.colt.matrix.tint.IntFactory2D: Modifies the given matrix to be a randomly sampled matrix.
sample(int, int, int) - Method in class cern.colt.matrix.tlong.LongFactory1D: Constructs a randomly sampled matrix with the given shape.
sample(int, int, int, int) - Method in class cern.colt.matrix.tlong.LongFactory2D: Constructs a randomly sampled matrix with the given shape.
sample(LongMatrix2D, int, int) - Method in class cern.colt.matrix.tlong.LongFactory2D: Modifies the given matrix to be a randomly sampled matrix.
sample(long, long, int, long, long[], int, DoubleRandomEngine) - Static method in class cern.jet.random.tdouble.sampling.DoubleRandomSampler: Efficiently computes a sorted random set of count elements from the interval [low,low+N-1].
sample(long, long, int, long, long[], int, FloatRandomEngine) - Static method in class cern.jet.random.tfloat.sampling.FloatRandomSampler: Efficiently computes a sorted random set of count elements from the interval [low,low+N-1].
sample(int, boolean, DoubleRandomEngine, DoubleBuffer) - Method in class hep.aida.tdouble.bin.DynamicDoubleBin1D: Uniformly samples (chooses) n random elements with or without replacement from the contained elements and adds them to the given buffer.
sample(int, boolean, FloatRandomEngine, FloatBuffer) - Method in class hep.aida.tfloat.bin.DynamicFloatBin1D: Uniformly samples (chooses) n random elements with or without replacement from the contained elements and adds them to the given buffer.
sampleArray(int, int[]) - Static method in class cern.jet.random.tdouble.sampling.DoubleRandomSamplingAssistant: Just shows how this class can be used; samples n elements from and int[] array.
sampleArray(int, int[]) - Static method in class cern.jet.random.tfloat.sampling.FloatRandomSamplingAssistant: Just shows how this class can be used; samples n elements from and int[] array.
sampleBootstrap(DynamicDoubleBin1D, int, DoubleRandomEngine, DoubleBinBinFunction1D) - Method in class hep.aida.tdouble.bin.DynamicDoubleBin1D: Generic bootstrap resampling.
sampleBootstrap(DynamicFloatBin1D, int, FloatRandomEngine, FloatBinBinFunction1D) - Method in class hep.aida.tfloat.bin.DynamicFloatBin1D: Generic bootstrap resampling.
sampleKurtosis(int, double, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sample kurtosis (aka excess) of a data sequence.
sampleKurtosis(DoubleArrayList, double, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sample kurtosis (aka excess) of a data sequence.
sampleKurtosis(int, float, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sample kurtosis (aka excess) of a data sequence.
sampleKurtosis(FloatArrayList, float, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sample kurtosis (aka excess) of a data sequence.
sampleKurtosisStandardError(int) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Return the standard error of the sample kurtosis.
sampleKurtosisStandardError(int) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Return the standard error of the sample kurtosis.
sampleNextElement() - Method in class cern.jet.random.tdouble.sampling.DoubleRandomSamplingAssistant: Returns whether the next element of the input sequence shall be sampled (picked) or not.
sampleNextElement() - Method in class cern.jet.random.tdouble.sampling.WeightedDoubleRandomSampler: Chooses exactly one random element from successive blocks of weight input elements each.
sampleNextElement() - Method in class cern.jet.random.tfloat.sampling.FloatRandomSamplingAssistant: Returns whether the next element of the input sequence shall be sampled (picked) or not.
sampleNextElement() - Method in class cern.jet.random.tfloat.sampling.WeightedFloatRandomSampler: Chooses exactly one random element from successive blocks of weight input elements each.
sampleSkew(int, double, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sample skew of a data sequence.
sampleSkew(DoubleArrayList, double, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sample skew of a data sequence.
sampleSkew(int, float, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sample skew of a data sequence.
sampleSkew(FloatArrayList, float, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sample skew of a data sequence.
sampleSkewStandardError(int) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Return the standard error of the sample skew.
sampleSkewStandardError(int) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Return the standard error of the sample skew.
sampleStandardDeviation(int, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sample standard deviation.
sampleStandardDeviation(int, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sample standard deviation.
sampleVariance(int, double, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sample variance of a data sequence.
sampleVariance(DoubleArrayList, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sample variance of a data sequence.
sampleVariance(int, float, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sample variance of a data sequence.
sampleVariance(FloatArrayList, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sample variance of a data sequence.
sampleWeightedVariance(double, double, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sample weighted variance of a data sequence.
sampleWeightedVariance(float, float, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sample weighted variance of a data sequence.
second - Static variable in class cern.clhep.Units
seconds() - Method in class cern.colt.Timer: Returns the elapsed time in seconds; does not stop the timer, if started.
semiBandwidth(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.DoubleProperty: Returns the semi-bandwidth of the given square matrix A.
semiBandwidth(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.FloatProperty: Returns the semi-bandwidth of the given square matrix A.
semiBandwidth(IntMatrix2D) - Method in class cern.colt.matrix.tint.algo.IntProperty: Returns the semi-bandwidth of the given square matrix A.
semiBandwidth(LongMatrix2D) - Method in class cern.colt.matrix.tlong.algo.LongProperty: Returns the semi-bandwidth of the given square matrix A.
serialVersionUID - Static variable in class cern.colt.PersistentObject
serialVersionUID - Static variable in interface hep.aida.tdouble.DoubleIAxis
serialVersionUID - Static variable in interface hep.aida.tdouble.DoubleIHistogram
serialVersionUID - Static variable in interface hep.aida.tfloat.FloatIAxis
serialVersionUID - Static variable in interface hep.aida.tfloat.FloatIHistogram
set(int, boolean) - Method in class cern.colt.list.tboolean.AbstractBooleanList: Replaces the element at the specified position in the receiver with the specified element.
set(int, boolean) - Method in class cern.colt.list.tboolean.BooleanArrayList: Replaces the element at the specified position in the receiver with the specified element.
set(int, byte) - Method in class cern.colt.list.tbyte.AbstractByteList: Replaces the element at the specified position in the receiver with the specified element.
set(int, byte) - Method in class cern.colt.list.tbyte.ByteArrayList: Replaces the element at the specified position in the receiver with the specified element.
set(int, char) - Method in class cern.colt.list.tchar.AbstractCharList: Replaces the element at the specified position in the receiver with the specified element.
set(int, char) - Method in class cern.colt.list.tchar.CharArrayList: Replaces the element at the specified position in the receiver with the specified element.
set(int, double) - Method in class cern.colt.list.tdouble.AbstractDoubleList: Replaces the element at the specified position in the receiver with the specified element.
set(int, double) - Method in class cern.colt.list.tdouble.DoubleArrayList: Replaces the element at the specified position in the receiver with the specified element.
set(int, Object) - Method in class cern.colt.list.tdouble.DoubleListAdapter: Replaces the element at the specified position in this list with the specified element (optional operation).
set(int, float) - Method in class cern.colt.list.tfloat.AbstractFloatList: Replaces the element at the specified position in the receiver with the specified element.
set(int, float) - Method in class cern.colt.list.tfloat.FloatArrayList: Replaces the element at the specified position in the receiver with the specified element.
set(int, Object) - Method in class cern.colt.list.tfloat.FloatListAdapter: Replaces the element at the specified position in this list with the specified element (optional operation).
set(int, int) - Method in class cern.colt.list.tint.AbstractIntList: Replaces the element at the specified position in the receiver with the specified element.
set(int, int) - Method in class cern.colt.list.tint.IntArrayList: Replaces the element at the specified position in the receiver with the specified element.
set(int, Object) - Method in class cern.colt.list.tint.IntListAdapter: Replaces the element at the specified position in this list with the specified element (optional operation).
set(int, long) - Method in class cern.colt.list.tlong.AbstractLongList: Replaces the element at the specified position in the receiver with the specified element.
set(int, long) - Method in class cern.colt.list.tlong.LongArrayList: Replaces the element at the specified position in the receiver with the specified element.
set(int, Object) - Method in class cern.colt.list.tlong.LongListAdapter: Replaces the element at the specified position in this list with the specified element (optional operation).
set(int, Object) - Method in class cern.colt.list.tobject.ObjectArrayList: Replaces the element at the specified position in the receiver with the specified element.
set(int, Object) - Method in class cern.colt.list.tobject.ObjectListAdapter: Replaces the element at the specified position in this list with the specified element (optional operation).
set(int, short) - Method in class cern.colt.list.tshort.AbstractShortList: Replaces the element at the specified position in the receiver with the specified element.
set(int, short) - Method in class cern.colt.list.tshort.ShortArrayList: Replaces the element at the specified position in the receiver with the specified element.
set(int) - Method in class cern.colt.matrix.tbit.BitVector: Changes the bit with index bitIndex to the "set" (true) state.
set(long[], int) - Static method in class cern.colt.matrix.tbit.QuickBitVector: Changes the bit with index bitIndex in the bitvector bits to the "set" (true) state.
set(int, double, double) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix1D: Sets the matrix cell at coordinate index to the specified value.
set(int, double[]) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix1D: Sets the matrix cell at coordinate index to the specified value.
set(int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
set(int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
set(int, int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
set(int, int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
set(int, double) - Method in class cern.colt.matrix.tdouble.DoubleMatrix1D: Sets the matrix cell at coordinate index to the specified value.
set(int, int, double) - Method in class cern.colt.matrix.tdouble.DoubleMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
set(int, int, int, double) - Method in class cern.colt.matrix.tdouble.DoubleMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
set(int, float, float) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix1D: Sets the matrix cell at coordinate index to the specified value.
set(int, float[]) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix1D: Sets the matrix cell at coordinate index to the specified value.
set(int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
set(int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
set(int, int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
set(int, int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
set(int, float) - Method in class cern.colt.matrix.tfloat.FloatMatrix1D: Sets the matrix cell at coordinate index to the specified value.
set(int, int, float) - Method in class cern.colt.matrix.tfloat.FloatMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
set(int, int, int, float) - Method in class cern.colt.matrix.tfloat.FloatMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
set(int, int) - Method in class cern.colt.matrix.tint.IntMatrix1D: Sets the matrix cell at coordinate index to the specified value.
set(int, int, int) - Method in class cern.colt.matrix.tint.IntMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
set(int, int, int, int) - Method in class cern.colt.matrix.tint.IntMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
set(int, long) - Method in class cern.colt.matrix.tlong.LongMatrix1D: Sets the matrix cell at coordinate index to the specified value.
set(int, int, long) - Method in class cern.colt.matrix.tlong.LongMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
set(int, int, int, long) - Method in class cern.colt.matrix.tlong.LongMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
set(int, Object) - Method in class cern.colt.matrix.tobject.ObjectMatrix1D: Sets the matrix cell at coordinate index to the specified value.
set(int, int, Object) - Method in class cern.colt.matrix.tobject.ObjectMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
set(int, int, int, Object) - Method in class cern.colt.matrix.tobject.ObjectMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setAbsoluteTolerance(double) - Method in class cern.colt.matrix.tdouble.algo.solver.DefaultDoubleIterationMonitor: Sets the absolute convergence tolerance
setAbsoluteTolerance(float) - Method in class cern.colt.matrix.tfloat.algo.solver.DefaultFloatIterationMonitor: Sets the absolute convergence tolerance
setAlignment(String) - Method in class cern.colt.matrix.AbstractFormatter: Sets the column alignment (left,center,right,decimal).
setColumnSeparator(String) - Method in class cern.colt.matrix.AbstractFormatter: Sets the string separating any two columns from another.
setContents(DoubleHistogram1DContents) - Method in class hep.aida.tdouble.ref.DoubleHistogram1D: Sets the contents of this histogram.
setContents(FloatHistogram1DContents) - Method in class hep.aida.tfloat.ref.FloatHistogram1D: Sets the contents of this histogram
setDivergenceTolerance(double) - Method in class cern.colt.matrix.tdouble.algo.solver.DefaultDoubleIterationMonitor: Sets the relative divergence tolerance
setDivergenceTolerance(double) - Method in class cern.colt.matrix.tdouble.algo.solver.HyBRDoubleIterationMonitor: Sets the relative divergence tolerance
setDivergenceTolerance(float) - Method in class cern.colt.matrix.tfloat.algo.solver.DefaultFloatIterationMonitor: Sets the relative divergence tolerance
setDivergenceTolerance(float) - Method in class cern.colt.matrix.tfloat.algo.solver.HyBRFloatIterationMonitor: Sets the relative divergence tolerance
setEigenvalues(double, double) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleChebyshev: Sets the eigenvalue estimates.
setEigenvalues(float, float) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatChebyshev: Sets the eigenvalue estimates.
setFirst() - Method in class cern.colt.matrix.tdouble.algo.solver.AbstractDoubleIterationMonitor
setFirst() - Method in interface cern.colt.matrix.tdouble.algo.solver.DoubleIterationMonitor: Resets the iteration
setFirst() - Method in class cern.colt.matrix.tfloat.algo.solver.AbstractFloatIterationMonitor
setFirst() - Method in interface cern.colt.matrix.tfloat.algo.solver.FloatIterationMonitor: Resets the iteration
setFixedOrder(boolean) - Method in class hep.aida.tdouble.bin.DynamicDoubleBin1D: Determines whether the receivers internally preserved elements may be reordered or not.
setFixedOrder(boolean) - Method in class hep.aida.tfloat.bin.DynamicFloatBin1D: Determines whether the receivers internally preserved elements may be reordered or not.
setFormat(String) - Method in class cern.colt.matrix.AbstractFormatter: Sets the way a single cell value is to be formatted.
setIterationMonitor(DoubleIterationMonitor) - Method in class cern.colt.matrix.tdouble.algo.solver.AbstractDoubleIterativeSolver
setIterationMonitor(DoubleIterationMonitor) - Method in interface cern.colt.matrix.tdouble.algo.solver.DoubleIterativeSolver: Sets iteration monitor
setIterationMonitor(FloatIterationMonitor) - Method in class cern.colt.matrix.tfloat.algo.solver.AbstractFloatIterativeSolver
setIterationMonitor(FloatIterationMonitor) - Method in interface cern.colt.matrix.tfloat.algo.solver.FloatIterativeSolver: Sets iteration monitor
setIterationReporter(DoubleIterationReporter) - Method in class cern.colt.matrix.tdouble.algo.solver.AbstractDoubleIterationMonitor
setIterationReporter(DoubleIterationReporter) - Method in interface cern.colt.matrix.tdouble.algo.solver.DoubleIterationMonitor: Sets new iteration reporter
setIterationReporter(FloatIterationReporter) - Method in class cern.colt.matrix.tfloat.algo.solver.AbstractFloatIterationMonitor
setIterationReporter(FloatIterationReporter) - Method in interface cern.colt.matrix.tfloat.algo.solver.FloatIterationMonitor: Sets new iteration reporter
setLU(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.DenseDoubleLUDecompositionQuick: Sets the combined lower and upper triangular factor, LU.
setLU(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.DenseFloatLUDecompositionQuick: Sets the combined lower and upper triangular factor, LU.
setMatrix(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleAMG
setMatrix(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleDiagonal
setMatrix(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleICC
setMatrix(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleIdentity
setMatrix(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleILU
setMatrix(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleILUT
setMatrix(DoubleMatrix2D) - Method in interface cern.colt.matrix.tdouble.algo.solver.preconditioner.DoublePreconditioner: Sets the operator matrix for the preconditioner.
setMatrix(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleSSOR
setMatrix(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.solver.preconditioner.FloatAMG
setMatrix(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.solver.preconditioner.FloatDiagonal
setMatrix(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.solver.preconditioner.FloatICC
setMatrix(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.solver.preconditioner.FloatIdentity
setMatrix(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.solver.preconditioner.FloatILU
setMatrix(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.solver.preconditioner.FloatILUT
setMatrix(FloatMatrix2D) - Method in interface cern.colt.matrix.tfloat.algo.solver.preconditioner.FloatPreconditioner: Sets the operator matrix for the preconditioner.
setMatrix(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.solver.preconditioner.FloatSSOR
setMaxIterations(int) - Method in class cern.colt.matrix.tdouble.algo.solver.DefaultDoubleIterationMonitor: Sets maximum number of iterations to permit
setMaxIterations(int) - Method in interface cern.colt.matrix.tdouble.algo.solver.DoubleIterationMonitor: Sets maximum number of iterations to permit
setMaxIterations(int) - Method in class cern.colt.matrix.tdouble.algo.solver.HyBRDoubleIterationMonitor
setMaxIterations(int) - Method in class cern.colt.matrix.tfloat.algo.solver.DefaultFloatIterationMonitor: Sets maximum number of iterations to permit
setMaxIterations(int) - Method in interface cern.colt.matrix.tfloat.algo.solver.FloatIterationMonitor: Sets maximum number of iterations to permit
setMaxIterations(int) - Method in class cern.colt.matrix.tfloat.algo.solver.HyBRFloatIterationMonitor
setMean(double) - Method in class cern.jet.random.tdouble.Poisson: Sets the mean.
setMean(double) - Method in class cern.jet.random.tdouble.PoissonSlow: Sets the mean.
setMinColumnWidth(int) - Method in class cern.colt.matrix.AbstractFormatter: Sets the minimum number of characters a column may have.
setNandP(int, double) - Method in class cern.jet.random.tdouble.Binomial: Sets the parameters number of trials and the probability of success.
setNandP(int, double) - Method in class cern.jet.random.tdouble.NegativeBinomial: Sets the parameters number of trials and the probability of success.
setNormType(Norm) - Method in class cern.colt.matrix.tdouble.algo.solver.AbstractDoubleIterationMonitor
setNormType(Norm) - Method in interface cern.colt.matrix.tdouble.algo.solver.DoubleIterationMonitor: Sets the vector-norm to calculate with
setNormType(Norm) - Method in class cern.colt.matrix.tfloat.algo.solver.AbstractFloatIterationMonitor
setNormType(Norm) - Method in interface cern.colt.matrix.tfloat.algo.solver.FloatIterationMonitor: Sets the vector-norm to calculate with
setNumberOfThreads(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils: Sets the number of threads
setOmega(double, double) - Method in class cern.colt.matrix.tdouble.algo.solver.preconditioner.DoubleSSOR: Sets the overrelaxation parameters
setOmega(float, float) - Method in class cern.colt.matrix.tfloat.algo.solver.preconditioner.FloatSSOR: Sets the overrelaxation parameters
setPreconditioner(DoublePreconditioner) - Method in class cern.colt.matrix.tdouble.algo.solver.AbstractDoubleIterativeSolver
setPreconditioner(DoublePreconditioner) - Method in interface cern.colt.matrix.tdouble.algo.solver.DoubleIterativeSolver: Sets preconditioner
setPreconditioner(DoublePreconditioner) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleQMR
setPreconditioner(FloatPreconditioner) - Method in class cern.colt.matrix.tfloat.algo.solver.AbstractFloatIterativeSolver
setPreconditioner(FloatPreconditioner) - Method in interface cern.colt.matrix.tfloat.algo.solver.FloatIterativeSolver: Sets preconditioner
setPreconditioner(FloatPreconditioner) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatQMR
setPrintShape(boolean) - Method in class cern.colt.matrix.AbstractFormatter: Specifies whether a string representation of a matrix is to be preceded with a summary of its shape.
setProperty(DoubleProperty) - Method in class cern.colt.matrix.tdouble.algo.DenseDoubleAlgebra: Attaches the given property object to this Algebra, defining tolerance.
setProperty(DoubleProperty) - Method in class cern.colt.matrix.tdouble.algo.SparseDoubleAlgebra: Attaches the given property object to this Algebra, defining tolerance.
setProperty(FloatProperty) - Method in class cern.colt.matrix.tfloat.algo.DenseFloatAlgebra: Attaches the given property object to this Algebra, defining tolerance.
setProperty(FloatProperty) - Method in class cern.colt.matrix.tfloat.algo.SparseFloatAlgebra: Attaches the given property object to this Algebra, defining tolerance.
setQuick(int, boolean) - Method in class cern.colt.list.tboolean.BooleanArrayList: Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, byte) - Method in class cern.colt.list.tbyte.ByteArrayList: Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, char) - Method in class cern.colt.list.tchar.CharArrayList: Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, double) - Method in class cern.colt.list.tdouble.DoubleArrayList: Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, float) - Method in class cern.colt.list.tfloat.FloatArrayList: Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, int) - Method in class cern.colt.list.tint.IntArrayList: Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, long) - Method in class cern.colt.list.tlong.DistinctNumberList: Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, long) - Method in class cern.colt.list.tlong.LongArrayList: Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, long) - Method in class cern.colt.list.tlong.MinMaxNumberList: Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, Object) - Method in class cern.colt.list.tobject.ObjectArrayList: Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, short) - Method in class cern.colt.list.tshort.ShortArrayList: Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, double, double) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, double[]) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.DenseColumnDComplexMatrix2D
setQuick(int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.DenseColumnDComplexMatrix2D
setQuick(int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix1D
setQuick(int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix1D
setQuick(int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix2D
setQuick(int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix2D
setQuick(int, int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix3D
setQuick(int, int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix3D
setQuick(int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.DenseLargeDComplexMatrix2D
setQuick(int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.DenseLargeDComplexMatrix2D
setQuick(int, int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.DenseLargeDComplexMatrix3D
setQuick(int, int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.DenseLargeDComplexMatrix3D
setQuick(int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.DiagonalDComplexMatrix2D
setQuick(int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.DiagonalDComplexMatrix2D
setQuick(int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.SparseCCDComplexMatrix2D
setQuick(int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.SparseCCDComplexMatrix2D
setQuick(int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.SparseCCMDComplexMatrix2D
setQuick(int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.SparseCCMDComplexMatrix2D
setQuick(int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.SparseDComplexMatrix1D
setQuick(int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.SparseDComplexMatrix1D
setQuick(int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.SparseDComplexMatrix2D
setQuick(int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.SparseDComplexMatrix2D
setQuick(int, int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.SparseDComplexMatrix3D
setQuick(int, int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.SparseDComplexMatrix3D
setQuick(int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.SparseRCDComplexMatrix2D
setQuick(int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.SparseRCDComplexMatrix2D
setQuick(int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.SparseRCMDComplexMatrix2D
setQuick(int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.SparseRCMDComplexMatrix2D
setQuick(int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.WrapperDComplexMatrix1D
setQuick(int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.WrapperDComplexMatrix1D
setQuick(int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.WrapperDComplexMatrix2D
setQuick(int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.WrapperDComplexMatrix2D
setQuick(int, int, int, double[]) - Method in class cern.colt.matrix.tdcomplex.impl.WrapperDComplexMatrix3D
setQuick(int, int, int, double, double) - Method in class cern.colt.matrix.tdcomplex.impl.WrapperDComplexMatrix3D
setQuick(int, double) - Method in class cern.colt.matrix.tdouble.DoubleMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, double) - Method in class cern.colt.matrix.tdouble.DoubleMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, double) - Method in class cern.colt.matrix.tdouble.DoubleMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, int, double) - Method in class cern.colt.matrix.tdouble.impl.DenseColumnDoubleMatrix2D
setQuick(int, double) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix1D
setQuick(int, int, double) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix2D
setQuick(int, int, int, double) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix3D
setQuick(int, int, double) - Method in class cern.colt.matrix.tdouble.impl.DenseLargeDoubleMatrix2D
setQuick(int, int, int, double) - Method in class cern.colt.matrix.tdouble.impl.DenseLargeDoubleMatrix3D
setQuick(int, int, double) - Method in class cern.colt.matrix.tdouble.impl.DiagonalDoubleMatrix2D
setQuick(int, int, double) - Method in class cern.colt.matrix.tdouble.impl.SparseCCDoubleMatrix2D
setQuick(int, int, double) - Method in class cern.colt.matrix.tdouble.impl.SparseCCMDoubleMatrix2D
setQuick(int, double) - Method in class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, double) - Method in class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix2D
setQuick(int, int, int, double) - Method in class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix3D
setQuick(int, int, double) - Method in class cern.colt.matrix.tdouble.impl.SparseRCDoubleMatrix2D
setQuick(int, int, double) - Method in class cern.colt.matrix.tdouble.impl.SparseRCMDoubleMatrix2D
setQuick(int, double) - Method in class cern.colt.matrix.tdouble.impl.WrapperDoubleMatrix1D
setQuick(int, int, double) - Method in class cern.colt.matrix.tdouble.impl.WrapperDoubleMatrix2D
setQuick(int, int, int, double) - Method in class cern.colt.matrix.tdouble.impl.WrapperDoubleMatrix3D
setQuick(int, float, float) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, float[]) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.DenseColumnFComplexMatrix2D
setQuick(int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.DenseColumnFComplexMatrix2D
setQuick(int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix1D
setQuick(int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix1D
setQuick(int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix2D
setQuick(int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix2D
setQuick(int, int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix3D
setQuick(int, int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix3D
setQuick(int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.DenseLargeFComplexMatrix2D
setQuick(int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.DenseLargeFComplexMatrix2D
setQuick(int, int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.DenseLargeFComplexMatrix3D
setQuick(int, int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.DenseLargeFComplexMatrix3D
setQuick(int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.DiagonalFComplexMatrix2D
setQuick(int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.DiagonalFComplexMatrix2D
setQuick(int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.SparseCCFComplexMatrix2D
setQuick(int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.SparseCCFComplexMatrix2D
setQuick(int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.SparseCCMFComplexMatrix2D
setQuick(int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.SparseCCMFComplexMatrix2D
setQuick(int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.SparseFComplexMatrix1D
setQuick(int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.SparseFComplexMatrix1D
setQuick(int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.SparseFComplexMatrix2D
setQuick(int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.SparseFComplexMatrix2D
setQuick(int, int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.SparseFComplexMatrix3D
setQuick(int, int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.SparseFComplexMatrix3D
setQuick(int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.SparseRCFComplexMatrix2D
setQuick(int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.SparseRCFComplexMatrix2D
setQuick(int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.SparseRCMFComplexMatrix2D
setQuick(int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.SparseRCMFComplexMatrix2D
setQuick(int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.WrapperFComplexMatrix1D
setQuick(int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.WrapperFComplexMatrix1D
setQuick(int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.WrapperFComplexMatrix2D
setQuick(int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.WrapperFComplexMatrix2D
setQuick(int, int, int, float[]) - Method in class cern.colt.matrix.tfcomplex.impl.WrapperFComplexMatrix3D
setQuick(int, int, int, float, float) - Method in class cern.colt.matrix.tfcomplex.impl.WrapperFComplexMatrix3D
setQuick(int, float) - Method in class cern.colt.matrix.tfloat.FloatMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, float) - Method in class cern.colt.matrix.tfloat.FloatMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, float) - Method in class cern.colt.matrix.tfloat.FloatMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, int, float) - Method in class cern.colt.matrix.tfloat.impl.DenseColumnFloatMatrix2D
setQuick(int, float) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix1D
setQuick(int, int, float) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix2D
setQuick(int, int, int, float) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix3D
setQuick(int, int, float) - Method in class cern.colt.matrix.tfloat.impl.DenseLargeFloatMatrix2D
setQuick(int, int, int, float) - Method in class cern.colt.matrix.tfloat.impl.DenseLargeFloatMatrix3D
setQuick(int, int, float) - Method in class cern.colt.matrix.tfloat.impl.DiagonalFloatMatrix2D
setQuick(int, int, float) - Method in class cern.colt.matrix.tfloat.impl.SparseCCFloatMatrix2D
setQuick(int, int, float) - Method in class cern.colt.matrix.tfloat.impl.SparseCCMFloatMatrix2D
setQuick(int, float) - Method in class cern.colt.matrix.tfloat.impl.SparseFloatMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, float) - Method in class cern.colt.matrix.tfloat.impl.SparseFloatMatrix2D
setQuick(int, int, int, float) - Method in class cern.colt.matrix.tfloat.impl.SparseFloatMatrix3D
setQuick(int, int, float) - Method in class cern.colt.matrix.tfloat.impl.SparseRCFloatMatrix2D
setQuick(int, int, float) - Method in class cern.colt.matrix.tfloat.impl.SparseRCMFloatMatrix2D
setQuick(int, float) - Method in class cern.colt.matrix.tfloat.impl.WrapperFloatMatrix1D
setQuick(int, int, float) - Method in class cern.colt.matrix.tfloat.impl.WrapperFloatMatrix2D
setQuick(int, int, int, float) - Method in class cern.colt.matrix.tfloat.impl.WrapperFloatMatrix3D
setQuick(int, int, int) - Method in class cern.colt.matrix.tint.impl.DenseColumnIntMatrix2D
setQuick(int, int) - Method in class cern.colt.matrix.tint.impl.DenseIntMatrix1D
setQuick(int, int, int) - Method in class cern.colt.matrix.tint.impl.DenseIntMatrix2D
setQuick(int, int, int, int) - Method in class cern.colt.matrix.tint.impl.DenseIntMatrix3D
setQuick(int, int, int) - Method in class cern.colt.matrix.tint.impl.DenseLargeIntMatrix2D
setQuick(int, int, int, int) - Method in class cern.colt.matrix.tint.impl.DenseLargeIntMatrix3D
setQuick(int, int, int) - Method in class cern.colt.matrix.tint.impl.DiagonalIntMatrix2D
setQuick(int, int, int) - Method in class cern.colt.matrix.tint.impl.SparseCCIntMatrix2D
setQuick(int, int, int) - Method in class cern.colt.matrix.tint.impl.SparseCCMIntMatrix2D
setQuick(int, int) - Method in class cern.colt.matrix.tint.impl.SparseIntMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, int) - Method in class cern.colt.matrix.tint.impl.SparseIntMatrix2D
setQuick(int, int, int, int) - Method in class cern.colt.matrix.tint.impl.SparseIntMatrix3D
setQuick(int, int, int) - Method in class cern.colt.matrix.tint.impl.SparseRCIntMatrix2D
setQuick(int, int, int) - Method in class cern.colt.matrix.tint.impl.SparseRCMIntMatrix2D
setQuick(int, int) - Method in class cern.colt.matrix.tint.impl.WrapperIntMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, int) - Method in class cern.colt.matrix.tint.impl.WrapperIntMatrix2D
setQuick(int, int, int, int) - Method in class cern.colt.matrix.tint.impl.WrapperIntMatrix3D
setQuick(int, int) - Method in class cern.colt.matrix.tint.IntMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, int) - Method in class cern.colt.matrix.tint.IntMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, int) - Method in class cern.colt.matrix.tint.IntMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, int, long) - Method in class cern.colt.matrix.tlong.impl.DenseColumnLongMatrix2D
setQuick(int, int, long) - Method in class cern.colt.matrix.tlong.impl.DenseLargeLongMatrix2D
setQuick(int, int, int, long) - Method in class cern.colt.matrix.tlong.impl.DenseLargeLongMatrix3D
setQuick(int, long) - Method in class cern.colt.matrix.tlong.impl.DenseLongMatrix1D
setQuick(int, int, long) - Method in class cern.colt.matrix.tlong.impl.DenseLongMatrix2D
setQuick(int, int, int, long) - Method in class cern.colt.matrix.tlong.impl.DenseLongMatrix3D
setQuick(int, int, long) - Method in class cern.colt.matrix.tlong.impl.DiagonalLongMatrix2D
setQuick(int, int, long) - Method in class cern.colt.matrix.tlong.impl.SparseCCLongMatrix2D
setQuick(int, int, long) - Method in class cern.colt.matrix.tlong.impl.SparseCCMLongMatrix2D
setQuick(int, long) - Method in class cern.colt.matrix.tlong.impl.SparseLongMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, long) - Method in class cern.colt.matrix.tlong.impl.SparseLongMatrix2D
setQuick(int, int, int, long) - Method in class cern.colt.matrix.tlong.impl.SparseLongMatrix3D
setQuick(int, int, long) - Method in class cern.colt.matrix.tlong.impl.SparseRCLongMatrix2D
setQuick(int, int, long) - Method in class cern.colt.matrix.tlong.impl.SparseRCMLongMatrix2D
setQuick(int, long) - Method in class cern.colt.matrix.tlong.impl.WrapperLongMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, long) - Method in class cern.colt.matrix.tlong.impl.WrapperLongMatrix2D
setQuick(int, int, int, long) - Method in class cern.colt.matrix.tlong.impl.WrapperLongMatrix3D
setQuick(int, long) - Method in class cern.colt.matrix.tlong.LongMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, long) - Method in class cern.colt.matrix.tlong.LongMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, long) - Method in class cern.colt.matrix.tlong.LongMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, int, Object) - Method in class cern.colt.matrix.tobject.impl.DenseColumnObjectMatrix2D
setQuick(int, int, Object) - Method in class cern.colt.matrix.tobject.impl.DenseLargeObjectMatrix2D
setQuick(int, int, int, Object) - Method in class cern.colt.matrix.tobject.impl.DenseLargeObjectMatrix3D
setQuick(int, Object) - Method in class cern.colt.matrix.tobject.impl.DenseObjectMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, Object) - Method in class cern.colt.matrix.tobject.impl.DenseObjectMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, Object) - Method in class cern.colt.matrix.tobject.impl.DenseObjectMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, int, Object) - Method in class cern.colt.matrix.tobject.impl.DiagonalObjectMatrix2D
setQuick(int, int, Object) - Method in class cern.colt.matrix.tobject.impl.SparseCCMObjectMatrix2D
setQuick(int, int, Object) - Method in class cern.colt.matrix.tobject.impl.SparseCCObjectMatrix2D
setQuick(int, Object) - Method in class cern.colt.matrix.tobject.impl.SparseObjectMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, Object) - Method in class cern.colt.matrix.tobject.impl.SparseObjectMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, Object) - Method in class cern.colt.matrix.tobject.impl.SparseObjectMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, int, Object) - Method in class cern.colt.matrix.tobject.impl.SparseRCMObjectMatrix2D
setQuick(int, int, Object) - Method in class cern.colt.matrix.tobject.impl.SparseRCObjectMatrix2D
setQuick(int, Object) - Method in class cern.colt.matrix.tobject.impl.WrapperObjectMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, Object) - Method in class cern.colt.matrix.tobject.impl.WrapperObjectMatrix2D
setQuick(int, int, int, Object) - Method in class cern.colt.matrix.tobject.impl.WrapperObjectMatrix3D
setQuick(int, Object) - Method in class cern.colt.matrix.tobject.ObjectMatrix1D: Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, Object) - Method in class cern.colt.matrix.tobject.ObjectMatrix2D: Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, Object) - Method in class cern.colt.matrix.tobject.ObjectMatrix3D: Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setRegularizationParameter(double) - Method in class cern.colt.matrix.tdouble.algo.solver.HyBRDoubleIterationMonitor: Sets the regularization parameter
setRegularizationParameter(float) - Method in class cern.colt.matrix.tfloat.algo.solver.HyBRFloatIterationMonitor: Sets the regularization parameter
setRelativeTolerance(double) - Method in class cern.colt.matrix.tdouble.algo.solver.DefaultDoubleIterationMonitor: Sets the relative convergence tolerance
setRelativeTolerance(float) - Method in class cern.colt.matrix.tfloat.algo.solver.DefaultFloatIterationMonitor: Sets the relative convergence tolerance
setRestart(int) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleGMRES: Sets the restart parameter
setRestart(int) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatGMRES: Sets the restart parameter
setRowSeparator(String) - Method in class cern.colt.matrix.AbstractFormatter: Sets the string separating any two rows from another.
setSize(int) - Method in class cern.colt.list.AbstractList: Sets the size of the receiver.
setSize(int) - Method in class cern.colt.matrix.tbit.BitVector: Shrinks or expands the receiver so that it holds newSize bits.
setSize(int) - Method in class cern.colt.matrix.tint.IntMatrix1D: Sets the size of this matrix.
setSize(int) - Method in class cern.colt.matrix.tlong.LongMatrix1D: Sets the size of this matrix.
setSize(int) - Method in class cern.colt.matrix.tobject.ObjectMatrix1D: Sets the size of this matrix.
setSizeRaw(int) - Method in class cern.colt.list.tdouble.DoubleArrayList
setSizeRaw(int) - Method in class cern.colt.list.tfloat.FloatArrayList
setSizeRaw(int) - Method in class cern.colt.list.tint.IntArrayList
setSizeRaw(int) - Method in class cern.colt.list.tlong.AbstractLongList: Sets the size of the receiver without modifying it otherwise.
setSizeRaw(int) - Method in class cern.colt.list.tlong.DistinctNumberList: Sets the size of the receiver without modifying it otherwise.
setSizeRaw(int) - Method in class cern.colt.list.tlong.MinMaxNumberList: Sets the size of the receiver without modifying it otherwise.
setSizeRaw(int) - Method in class cern.colt.list.tobject.ObjectArrayList: Sets the size of the receiver without modifying it otherwise.
setSliceSeparator(String) - Method in class cern.colt.matrix.AbstractFormatter: Sets the string separating any two slices from another.
setState(double, double) - Method in class cern.jet.random.tdouble.Beta: Sets the parameters.
setState(double, double, double) - Method in class cern.jet.random.tdouble.BreitWigner: Sets the mean, gamma and cut parameters.
setState(double) - Method in class cern.jet.random.tdouble.ChiSquare: Sets the distribution parameter.
setState(double, double) - Method in class cern.jet.random.tdouble.DoubleUniform: Sets the internal state.
setState(double[], int) - Method in class cern.jet.random.tdouble.Empirical: Sets the distribution parameters.
setState(double[], int) - Method in class cern.jet.random.tdouble.EmpiricalWalker: Sets the distribution parameters.
setState(double) - Method in class cern.jet.random.tdouble.Exponential: Sets the mean.
setState(double) - Method in class cern.jet.random.tdouble.ExponentialPower: Sets the distribution parameter.
setState(double, double) - Method in class cern.jet.random.tdouble.Gamma: Sets the mean and variance.
setState(double, double) - Method in class cern.jet.random.tdouble.Hyperbolic: Sets the parameters.
setState(int, int, int) - Method in class cern.jet.random.tdouble.HyperGeometric: Sets the parameters.
setState(double) - Method in class cern.jet.random.tdouble.Logarithmic: Sets the distribution parameter.
setState(double, double) - Method in class cern.jet.random.tdouble.Normal: Sets the mean and variance.
setState(double) - Method in class cern.jet.random.tdouble.StudentT: Sets the distribution parameter.
setState(double) - Method in class cern.jet.random.tdouble.VonMises: Sets the distribution parameter.
setState(double, double) - Method in class cern.jet.random.tdouble.Zeta: Sets the parameters.
setState(float, float) - Method in class cern.jet.random.tfloat.FloatUniform: Sets the internal state.
setState2(double[]) - Method in class cern.jet.random.tdouble.EmpiricalWalker: Sets the distribution parameters.
setStoppingCondition(HyBRDoubleIterationMonitor.HyBRStoppingCondition) - Method in class cern.colt.matrix.tdouble.algo.solver.HyBRDoubleIterationMonitor: Sets the stopping condition
setStoppingCondition(HyBRFloatIterationMonitor.HyBRStoppingCondition) - Method in class cern.colt.matrix.tfloat.algo.solver.HyBRFloatIterationMonitor: Sets the stopping condition
setThreadsBeginN_1D(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils: Sets the minimal size of 1D data for which threads are used.
setThreadsBeginN_1D_FFT_2Threads(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils: Sets the minimal size of 1D data for which two threads are used.
setThreadsBeginN_1D_FFT_4Threads(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils: Sets the minimal size of 1D data for which four threads are used.
setThreadsBeginN_2D(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils: Sets the minimal size of 2D data for which threads are used.
setThreadsBeginN_3D(int) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils: Sets the minimal size of 3D data for which threads are used.
setTolerance(double) - Method in class cern.colt.matrix.tdcomplex.algo.DComplexProperty: Sets the tolerance to Math.abs(newTolerance).
setTolerance(double) - Method in class cern.colt.matrix.tdouble.algo.DoubleProperty: Sets the tolerance to Math.abs(newTolerance).
setTolerance(float) - Method in class cern.colt.matrix.tfcomplex.algo.FComplexProperty: Sets the tolerance to Math.abs(newTolerance).
setTolerance(float) - Method in class cern.colt.matrix.tfloat.algo.FloatProperty: Sets the tolerance to Math.abs(newTolerance).
setWeight(int) - Method in class cern.jet.random.tdouble.sampling.WeightedDoubleRandomSampler: Not yet commented.
setWeight(int) - Method in class cern.jet.random.tfloat.sampling.WeightedFloatRandomSampler: Not yet commented.
SEVEN - Static variable in class cern.colt.matrix.tfcomplex.algo.FComplexProperty: A Property object with tolerance()==1.0E-7.
SEVEN - Static variable in class cern.colt.matrix.tfloat.algo.FloatProperty: A Property object with tolerance()==1.0E-7.
shape(AbstractMatrix1D) - Static method in class cern.colt.matrix.AbstractFormatter: Returns a short string representation describing the shape of the matrix.
shape(AbstractMatrix2D) - Static method in class cern.colt.matrix.AbstractFormatter: Returns a short string representation describing the shape of the matrix.
shape(AbstractMatrix3D) - Static method in class cern.colt.matrix.AbstractFormatter: Returns a short string representation describing the shape of the matrix.
shiftLeft - Static variable in class cern.jet.math.tint.IntFunctions: Function that returns a << b.
shiftLeft(int) - Static method in class cern.jet.math.tint.IntFunctions: Constructs a function that returns a << b.
shiftLeft - Static variable in class cern.jet.math.tlong.LongFunctions: Function that returns a << b.
shiftLeft(long) - Static method in class cern.jet.math.tlong.LongFunctions: Constructs a function that returns a << b.
shiftRightSigned - Static variable in class cern.jet.math.tint.IntFunctions: Function that returns a >> b.
shiftRightSigned(int) - Static method in class cern.jet.math.tint.IntFunctions: Constructs a function that returns a >> b.
shiftRightSigned - Static variable in class cern.jet.math.tlong.LongFunctions: Function that returns a >> b.
shiftRightSigned(long) - Static method in class cern.jet.math.tlong.LongFunctions: Constructs a function that returns a >> b.
shiftRightUnsigned - Static variable in class cern.jet.math.tint.IntFunctions: Function that returns a >>> b.
shiftRightUnsigned(int) - Static method in class cern.jet.math.tint.IntFunctions: Constructs a function that returns a >>> b.
shiftRightUnsigned - Static variable in class cern.jet.math.tlong.LongFunctions: Function that returns a >>> b.
shiftRightUnsigned(long) - Static method in class cern.jet.math.tlong.LongFunctions: Constructs a function that returns a >>> b.
ShortArrayList - Class in cern.colt.list.tshort: Resizable list holding short elements; implemented with arrays.
ShortArrayList() - Constructor for class cern.colt.list.tshort.ShortArrayList: Constructs an empty list.
ShortArrayList(short[]) - Constructor for class cern.colt.list.tshort.ShortArrayList: Constructs a list containing the specified elements.
ShortArrayList(int) - Constructor for class cern.colt.list.tshort.ShortArrayList: Constructs an empty list with the specified initial capacity.
ShortBuffer - Class in cern.colt.buffer.tshort: Fixed sized (non resizable) streaming buffer connected to a target ShortBufferConsumer to which data is automatically flushed upon buffer overflow.
ShortBuffer(ShortBufferConsumer, int) - Constructor for class cern.colt.buffer.tshort.ShortBuffer: Constructs and returns a new buffer with the given target.
ShortBuffer2D - Class in cern.colt.buffer.tshort: Fixed sized (non resizable) streaming buffer connected to a target ShortBuffer2DConsumer to which data is automatically flushed upon buffer overflow.
ShortBuffer2D(ShortBuffer2DConsumer, int) - Constructor for class cern.colt.buffer.tshort.ShortBuffer2D: Constructs and returns a new buffer with the given target.
ShortBuffer2DConsumer - Interface in cern.colt.buffer.tshort: Target of a streaming ShortBuffer2D into which data is flushed upon buffer overflow.
ShortBuffer3D - Class in cern.colt.buffer.tshort: Fixed sized (non resizable) streaming buffer connected to a target ShortBuffer3DConsumer to which data is automatically flushed upon buffer overflow.
ShortBuffer3D(ShortBuffer3DConsumer, int) - Constructor for class cern.colt.buffer.tshort.ShortBuffer3D: Constructs and returns a new buffer with the given target.
ShortBuffer3DConsumer - Interface in cern.colt.buffer.tshort: Target of a streaming ShortBuffer3D into which data is flushed upon buffer overflow.
ShortBufferConsumer - Interface in cern.colt.buffer.tshort: Target of a streaming ShortBuffer into which data is flushed upon buffer overflow.
ShortComparator - Interface in cern.colt.function.tshort: A comparison function which imposes a total ordering on some collection of elements.
ShortProcedure - Interface in cern.colt.function.tshort: Interface that represents a procedure object: a procedure that takes a single argument and does not return a value.
showComplex_1D(String, double[], String) - Static method in class edu.emory.mathcs.utils.IOUtils: Displays elements of x, assuming that it is 1D complex array.
showComplex_2D(String, int, int, double[], String) - Static method in class edu.emory.mathcs.utils.IOUtils: Displays elements of x, assuming that it is 2D complex array.
showComplex_3D(String, int, int, int, double[], String) - Static method in class edu.emory.mathcs.utils.IOUtils: Displays elements of x, assuming that it is 3D complex array.
showReal_1D(String, double[], String) - Static method in class edu.emory.mathcs.utils.IOUtils: Displays elements of x, assuming that it is 1D real array.
showReal_2D(String, int, int, double[], String) - Static method in class edu.emory.mathcs.utils.IOUtils: Displays elements of x, assuming that it is 2D real array.
showReal_3D(String, int, int, int, double[], String) - Static method in class edu.emory.mathcs.utils.IOUtils: Displays elements of x, assuming that it is 3D real array.
shuffle() - Method in class cern.colt.list.AbstractList: Randomly permutes the receiver.
shuffleFromTo(int, int) - Method in class cern.colt.list.AbstractList: Randomly permutes the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tboolean.AbstractBooleanList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tboolean.BooleanArrayList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tbyte.AbstractByteList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tbyte.ByteArrayList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tchar.AbstractCharList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tchar.CharArrayList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tdouble.AbstractDoubleList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tdouble.DoubleArrayList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tfloat.AbstractFloatList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tfloat.FloatArrayList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tint.AbstractIntList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tint.IntArrayList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tlong.AbstractLongList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tlong.LongArrayList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tobject.ObjectArrayList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tshort.AbstractShortList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.tshort.ShortArrayList: Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shutdown() - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils: Shutdowns the thread pool.
sign - Static variable in class cern.jet.math.tdouble.DoubleFunctions: Function that returns a < 0 ? -1 : a > 0 ? 1 : 0.
sign - Static variable in class cern.jet.math.tfloat.FloatFunctions: Function that returns a < 0 ? -1 : a > 0 ? 1 : 0.
sign - Static variable in class cern.jet.math.tint.IntFunctions: Function that returns a < 0 ? -1 : a > 0 ? 1 : 0.
sign - Static variable in class cern.jet.math.tlong.LongFunctions: Function that returns a < 0 ? -1 : a > 0 ? 1 : 0.
SimpleLongArrayList - Class in cern.colt.list.tlong: Resizable list holding long elements; implemented with arrays; not efficient; just to demonstrate which methods you must override to implement a fully functional list.
SimpleLongArrayList() - Constructor for class cern.colt.list.tlong.SimpleLongArrayList: Constructs an empty list.
SimpleLongArrayList(long[]) - Constructor for class cern.colt.list.tlong.SimpleLongArrayList: Constructs a list containing the specified elements.
SimpleLongArrayList(int) - Constructor for class cern.colt.list.tlong.SimpleLongArrayList: Constructs an empty list with the specified initial capacity.
sin(double[]) - Static method in class cern.jet.math.tdcomplex.DComplex
sin - Static variable in class cern.jet.math.tdcomplex.DComplexFunctions
sin - Static variable in class cern.jet.math.tdouble.DoubleFunctions: Function that returns Math.sin(a).
sin(float[]) - Static method in class cern.jet.math.tfcomplex.FComplex
sin - Static variable in class cern.jet.math.tfcomplex.FComplexFunctions
sin - Static variable in class cern.jet.math.tfloat.FloatFunctions: Function that returns Math.sin(a).
size() - Method in class cern.colt.list.AbstractCollection: Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.tboolean.AbstractBooleanList: Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.tbyte.AbstractByteList: Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.tchar.AbstractCharList: Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.tdouble.AbstractDoubleList: Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.tdouble.DoubleListAdapter: Returns the number of elements in this list.
size() - Method in class cern.colt.list.tfloat.AbstractFloatList: Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.tfloat.FloatListAdapter: Returns the number of elements in this list.
size() - Method in class cern.colt.list.tint.AbstractIntList: Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.tint.IntListAdapter: Returns the number of elements in this list.
size() - Method in class cern.colt.list.tlong.AbstractLongList: Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.tlong.LongListAdapter: Returns the number of elements in this list.
size() - Method in class cern.colt.list.tobject.ObjectArrayList: Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.tobject.ObjectListAdapter: Returns the number of elements in this list.
size() - Method in class cern.colt.list.tshort.AbstractShortList: Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.map.AbstractMap: Returns the number of (key,value) associations currently contained.
size() - Method in class cern.colt.matrix.AbstractMatrix: Returns the number of cells.
size() - Method in class cern.colt.matrix.AbstractMatrix1D: Returns the number of cells.
size() - Method in class cern.colt.matrix.AbstractMatrix2D: Returns the number of cells which is rows()*columns().
size() - Method in class cern.colt.matrix.AbstractMatrix3D: Returns the number of cells which is slices()*rows()*columns().
size() - Method in class cern.colt.matrix.io.VectorSize: Returns the size of the vector
size() - Method in class cern.colt.matrix.tbit.BitMatrix: Returns the size of the receiver which is columns()*rows().
size() - Method in class cern.colt.matrix.tbit.BitVector: Returns the size of the receiver.
size() - Method in class cern.jet.stat.Buffer: Returns the number of elements contained in the receiver.
size() - Method in class cern.jet.stat.tdouble.quantile.DoubleBuffer: Returns the number of elements contained in the receiver.
size() - Method in class cern.jet.stat.tdouble.quantile.DoubleEquiDepthHistogram: Deprecated. Deprecated. Returns the number of bin boundaries.
size() - Method in interface cern.jet.stat.tdouble.quantile.DoubleQuantileFinder: Returns the number of elements currently contained in the receiver (identical to the number of values added so far).
size() - Method in class cern.jet.stat.tdouble.quantile.ExactDoubleQuantileFinder: Returns the number of elements currently contained in the receiver (identical to the number of values added so far).
size() - Method in class cern.jet.stat.tfloat.quantile.FloatEquiDepthHistogram: Deprecated. Deprecated. Returns the number of bin boundaries.
size() - Method in interface cern.jet.stat.tfloat.quantile.FloatQuantileFinder: Returns the number of elements currently contained in the receiver (identical to the number of values added so far).
size() - Method in class hep.aida.tdouble.bin.AbstractDoubleBin: Returns the number of elements contained.
size - Static variable in class hep.aida.tdouble.bin.DoubleBinFunctions1D: Function that returns bin.size().
size() - Method in class hep.aida.tdouble.bin.DynamicDoubleBin1D: Returns the number of elements contained in the receiver.
size() - Method in class hep.aida.tdouble.bin.StaticDoubleBin1D: Returns the number of elements contained in the receiver.
size() - Method in class hep.aida.tfloat.bin.AbstractFloatBin: Returns the number of elements contained.
size() - Method in class hep.aida.tfloat.bin.DynamicFloatBin1D: Returns the number of elements contained in the receiver.
size - Static variable in class hep.aida.tfloat.bin.FloatBinFunctions1D: Function that returns bin.size().
size() - Method in class hep.aida.tfloat.bin.StaticFloatBin1D: Returns the number of elements contained in the receiver.
sizeOfRange(double, double) - Method in class hep.aida.tdouble.bin.QuantileDoubleBin1D: Returns how many elements are contained in the range [minElement,maxElement].
sizeOfRange(float, float) - Method in class hep.aida.tfloat.bin.QuantileFloatBin1D: Returns how many elements are contained in the range [minElement,maxElement].
skew(double, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the skew of a data sequence.
skew(DoubleArrayList, double, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the skew of a data sequence, which is moment(data,3,mean) / standardDeviation³.
skew(float, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the skew of a data sequence.
skew(FloatArrayList, float, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the skew of a data sequence, which is moment(data,3,mean) / standardDeviation³.
skew() - Method in class hep.aida.tdouble.bin.MightyStaticDoubleBin1D: Returns the skew, which is moment(3,mean()) / standardDeviation()³.
skew() - Method in class hep.aida.tfloat.bin.MightyStaticFloatBin1D: Returns the skew, which is moment(3,mean()) / standardDeviation()³.
sleep(long) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils: Causes the currently executing thread to sleep (temporarily cease execution) for the specified number of milliseconds.
slices() - Method in class cern.colt.matrix.AbstractMatrix3D: Returns the number of slices.
sliceStride() - Method in class cern.colt.matrix.AbstractMatrix3D: Returns the slice stride.
sliceX(int) - Method in interface hep.aida.tdouble.DoubleIHistogram2D: Slice parallel to the Y axis at bin indexY and one bin wide.
sliceX(int, int) - Method in interface hep.aida.tdouble.DoubleIHistogram2D: Create a slice parallel to the axis X axis, between "indexY1" and "indexY2" (inclusive).
sliceX(int) - Method in interface hep.aida.tfloat.FloatIHistogram2D: Slice parallel to the Y axis at bin indexY and one bin wide.
sliceX(int, int) - Method in interface hep.aida.tfloat.FloatIHistogram2D: Create a slice parallel to the axis X axis, between "indexY1" and "indexY2" (inclusive).
sliceXY(int) - Method in interface hep.aida.tdouble.DoubleIHistogram3D: Create a slice parallel to the XY plane at bin indexZ and one bin wide.
sliceXY(int, int) - Method in interface hep.aida.tdouble.DoubleIHistogram3D: Create a slice parallel to the XY plane, between "indexZ1" and "indexZ2" (inclusive).
sliceXY(int) - Method in interface hep.aida.tfloat.FloatIHistogram3D: Create a slice parallel to the XY plane at bin indexZ and one bin wide.
sliceXY(int, int) - Method in interface hep.aida.tfloat.FloatIHistogram3D: Create a slice parallel to the XY plane, between "indexZ1" and "indexZ2" (inclusive).
sliceXZ(int) - Method in interface hep.aida.tdouble.DoubleIHistogram3D: Create a slice parallel to the XZ plane at bin indexY and one bin wide.
sliceXZ(int, int) - Method in interface hep.aida.tdouble.DoubleIHistogram3D: Create a slice parallel to the XZ plane, between "indexY1" and "indexY2" (inclusive).
sliceXZ(int) - Method in interface hep.aida.tfloat.FloatIHistogram3D: Create a slice parallel to the XZ plane at bin indexY and one bin wide.
sliceXZ(int, int) - Method in interface hep.aida.tfloat.FloatIHistogram3D: Create a slice parallel to the XZ plane, between "indexY1" and "indexY2" (inclusive).
sliceY(int) - Method in interface hep.aida.tdouble.DoubleIHistogram2D: Slice parallel to the X axis at bin indexX and one bin wide.
sliceY(int, int) - Method in interface hep.aida.tdouble.DoubleIHistogram2D: Create a slice parallel to the axis Y axis, between "indexX1" and "indexX2" (inclusive) The returned IHistogram1D represents an instantaneous snapshot of the histogram at the time the slice was created.
sliceY(int) - Method in interface hep.aida.tfloat.FloatIHistogram2D: Slice parallel to the X axis at bin indexX and one bin wide.
sliceY(int, int) - Method in interface hep.aida.tfloat.FloatIHistogram2D: Create a slice parallel to the axis Y axis, between "indexX1" and "indexX2" (inclusive) The returned IHistogram1D represents an instantaneous snapshot of the histogram at the time the slice was created.
sliceYZ(int) - Method in interface hep.aida.tdouble.DoubleIHistogram3D: Create a slice parallel to the YZ plane at bin indexX and one bin wide.
sliceYZ(int, int) - Method in interface hep.aida.tdouble.DoubleIHistogram3D: Create a slice parallel to the YZ plane, between "indexX1" and "indexX2" (inclusive).
sliceYZ(int) - Method in interface hep.aida.tfloat.FloatIHistogram3D: Create a slice parallel to the YZ plane at bin indexX and one bin wide.
sliceYZ(int, int) - Method in interface hep.aida.tfloat.FloatIHistogram3D: Create a slice parallel to the YZ plane, between "indexX1" and "indexX2" (inclusive).
SmpDoubleBlas - Class in cern.colt.matrix.tdouble.algo: Parallel implementation of the Basic Linear Algebra System for symmetric multi processing boxes.
SmpDoubleBlas() - Constructor for class cern.colt.matrix.tdouble.algo.SmpDoubleBlas
SmpFloatBlas - Class in cern.colt.matrix.tfloat.algo: Parallel implementation of the Basic Linear Algebra System for symmetric multi processing boxes.
SmpFloatBlas() - Constructor for class cern.colt.matrix.tfloat.algo.SmpFloatBlas
solve(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.DenseDoubleCholeskyDecomposition: Solves A*X = B(in-place).
solve(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.DenseDoubleCholeskyDecomposition: Solves A*x = b(in-place).
solve(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.DenseDoubleLUDecomposition: Solves A*X = B.
solve(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.DenseDoubleLUDecomposition: Solves A*x = b.
solve(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.DenseDoubleLUDecompositionQuick: Solves the system of equations A*X = B (in-place).
solve(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.DenseDoubleLUDecompositionQuick: Solves the system of equations A*X = B (in-place).
solve(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.DenseDoubleQRDecomposition: Least squares solution of A*x = b (in-place).
solve(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.DenseDoubleQRDecomposition: Least squares solution of A*X = B(in-place).
solve(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.SparseDoubleCholeskyDecomposition: Solves A*x = b(in-place).
solve(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.SparseDoubleLUDecomposition: Solves A*x = b(in-place).
solve(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.decomposition.SparseDoubleQRDecomposition: Solve a least-squares problem (min ||Ax-b||_2, where A is m-by-n with m >= n) or underdetermined system (Ax=b, where m < n).
solve(DoubleMatrix2D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.DenseDoubleAlgebra: Solves A*x = b.
solve(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.DenseDoubleAlgebra: Solves A*X = B.
solve(DoubleMatrix2D, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleBiCG
solve(DoubleMatrix2D, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleBiCGstab
solve(DoubleMatrix2D, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleCG
solve(DoubleMatrix2D, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleCGLS
solve(DoubleMatrix2D, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleCGS
solve(DoubleMatrix2D, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleChebyshev
solve(DoubleMatrix2D, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleGMRES
solve(DoubleMatrix2D, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleHyBR
solve(DoubleMatrix2D, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleIR
solve(DoubleMatrix2D, DoubleMatrix1D, DoubleMatrix1D) - Method in interface cern.colt.matrix.tdouble.algo.solver.DoubleIterativeSolver: Solves the given problem, writing result into the vector.
solve(DoubleMatrix2D, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleMRNSD
solve(DoubleMatrix2D, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.solver.DoubleQMR
solve(DoubleMatrix2D, DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.SparseDoubleAlgebra: Solves A*x = b.
solve(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.DenseFloatCholeskyDecomposition: Solves A*X = B; returns X.
solve(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.DenseFloatCholeskyDecomposition
solve(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.DenseFloatLUDecomposition: Solves A*X = B.
solve(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.DenseFloatLUDecomposition: Solves A*x = b.
solve(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.DenseFloatLUDecompositionQuick: Solves the system of equations A*X = B (in-place).
solve(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.DenseFloatLUDecompositionQuick: Solves the system of equations A*X = B (in-place).
solve(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.DenseFloatQRDecomposition: Least squares solution of A*x = b; returns x.
solve(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.DenseFloatQRDecomposition: Least squares solution of A*X = B; returns X.
solve(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.SparseFloatCholeskyDecomposition: Solves A*x = b(in-place).
solve(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.SparseFloatLUDecomposition: Solves A*x = b(in-place).
solve(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.decomposition.SparseFloatQRDecomposition: Solve a least-squares problem (min ||Ax-b||_2, where A is m-by-n with m >= n) or underdetermined system (Ax=b, where m < n).
solve(FloatMatrix2D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.DenseFloatAlgebra: Solves A*x = b.
solve(FloatMatrix2D, FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.DenseFloatAlgebra: Solves A*X = B.
solve(FloatMatrix2D, FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatBiCG
solve(FloatMatrix2D, FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatBiCGstab
solve(FloatMatrix2D, FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatCG
solve(FloatMatrix2D, FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatCGLS
solve(FloatMatrix2D, FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatCGS
solve(FloatMatrix2D, FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatChebyshev
solve(FloatMatrix2D, FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatGMRES
solve(FloatMatrix2D, FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatHyBR
solve(FloatMatrix2D, FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatIR
solve(FloatMatrix2D, FloatMatrix1D, FloatMatrix1D) - Method in interface cern.colt.matrix.tfloat.algo.solver.FloatIterativeSolver: Solves the given problem, writing result into the vector.
solve(FloatMatrix2D, FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatMRNSD
solve(FloatMatrix2D, FloatMatrix1D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.solver.FloatQMR
solve(FloatMatrix2D, FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.SparseFloatAlgebra: Solves A*x = b.
solveTranspose(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.DenseDoubleAlgebra: Solves X*A = B, which is also A'*X' = B'.
solveTranspose(FloatMatrix2D, FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.DenseFloatAlgebra: Solves X*A = B, which is also A'*X' = B'.
sort() - Method in class cern.colt.list.AbstractList: Sorts the receiver into ascending order.
sort(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.DoubleSorting: Sorts the vector into ascending order, according to the natural ordering.
sort(DoubleMatrix1D, DoubleComparator) - Method in class cern.colt.matrix.tdouble.algo.DoubleSorting: Sorts the vector into ascending order, according to the order induced by the specified comparator.
sort(DoubleMatrix2D, double[]) - Method in class cern.colt.matrix.tdouble.algo.DoubleSorting: Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the virtual column aggregates; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
sort(DoubleMatrix2D, int) - Method in class cern.colt.matrix.tdouble.algo.DoubleSorting: Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
sort(DoubleMatrix2D, DoubleMatrix1DComparator) - Method in class cern.colt.matrix.tdouble.algo.DoubleSorting: Sorts the matrix rows according to the order induced by the specified comparator.
sort(DoubleMatrix2D, DoubleBinFunction1D) - Method in class cern.colt.matrix.tdouble.algo.DoubleSorting: Sorts the matrix rows into ascending order, according to the natural ordering of the values computed by applying the given aggregation function to each row; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
sort(DoubleMatrix3D, int, int) - Method in class cern.colt.matrix.tdouble.algo.DoubleSorting: Sorts the matrix slices into ascending order, according to the natural ordering of the matrix values in the given [row,column] position.
sort(DoubleMatrix3D, DoubleMatrix2DComparator) - Method in class cern.colt.matrix.tdouble.algo.DoubleSorting: Sorts the matrix slices according to the order induced by the specified comparator.
sort(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.FloatSorting: Sorts the vector into ascending order, according to the natural ordering.
sort(FloatMatrix1D, FloatComparator) - Method in class cern.colt.matrix.tfloat.algo.FloatSorting: Sorts the vector into ascending order, according to the order induced by the specified comparator.
sort(FloatMatrix2D, float[]) - Method in class cern.colt.matrix.tfloat.algo.FloatSorting: Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the virtual column aggregates; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
sort(FloatMatrix2D, int) - Method in class cern.colt.matrix.tfloat.algo.FloatSorting: Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
sort(FloatMatrix2D, FloatMatrix1DComparator) - Method in class cern.colt.matrix.tfloat.algo.FloatSorting: Sorts the matrix rows according to the order induced by the specified comparator.
sort(FloatMatrix2D, FloatBinFunction1D) - Method in class cern.colt.matrix.tfloat.algo.FloatSorting: Sorts the matrix rows into ascending order, according to the natural ordering of the values computed by applying the given aggregation function to each row; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
sort(FloatMatrix3D, int, int) - Method in class cern.colt.matrix.tfloat.algo.FloatSorting: Sorts the matrix slices into ascending order, according to the natural ordering of the matrix values in the given [row,column] position.
sort(FloatMatrix3D, FloatMatrix2DComparator) - Method in class cern.colt.matrix.tfloat.algo.FloatSorting: Sorts the matrix slices according to the order induced by the specified comparator.
sort(IntMatrix1D) - Method in class cern.colt.matrix.tint.algo.IntSorting: Sorts the vector into ascending order, according to the natural ordering.
sort(IntMatrix1D, IntComparator) - Method in class cern.colt.matrix.tint.algo.IntSorting: Sorts the vector into ascending order, according to the order induced by the specified comparator.
sort(IntMatrix2D, int[]) - Method in class cern.colt.matrix.tint.algo.IntSorting: Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the virtual column aggregates; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
sort(IntMatrix2D, int) - Method in class cern.colt.matrix.tint.algo.IntSorting: Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
sort(IntMatrix2D, IntMatrix1DComparator) - Method in class cern.colt.matrix.tint.algo.IntSorting: Sorts the matrix rows according to the order induced by the specified comparator.
sort(IntMatrix3D, int, int) - Method in class cern.colt.matrix.tint.algo.IntSorting: Sorts the matrix slices into ascending order, according to the natural ordering of the matrix values in the given [row,column] position.
sort(IntMatrix3D, IntMatrix2DComparator) - Method in class cern.colt.matrix.tint.algo.IntSorting: Sorts the matrix slices according to the order induced by the specified comparator.
sort(LongMatrix1D) - Method in class cern.colt.matrix.tlong.algo.LongSorting: Sorts the vector into ascending order, according to the natural ordering.
sort(LongMatrix1D, LongComparator) - Method in class cern.colt.matrix.tlong.algo.LongSorting: Sorts the vector into ascending order, according to the order induced by the specified comparator.
sort(LongMatrix2D, long[]) - Method in class cern.colt.matrix.tlong.algo.LongSorting: Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the virtual column aggregates; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
sort(LongMatrix2D, int) - Method in class cern.colt.matrix.tlong.algo.LongSorting: Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
sort(LongMatrix2D, LongMatrix1DComparator) - Method in class cern.colt.matrix.tlong.algo.LongSorting: Sorts the matrix rows according to the order induced by the specified comparator.
sort(LongMatrix3D, int, int) - Method in class cern.colt.matrix.tlong.algo.LongSorting: Sorts the matrix slices into ascending order, according to the natural ordering of the matrix values in the given [row,column] position.
sort(LongMatrix3D, LongMatrix2DComparator) - Method in class cern.colt.matrix.tlong.algo.LongSorting: Sorts the matrix slices according to the order induced by the specified comparator.
sort(ObjectMatrix1D) - Method in class cern.colt.matrix.tobject.algo.ObjectSorting: Sorts the vector into ascending order, according to the natural ordering.
sort(ObjectMatrix1D, Comparator) - Method in class cern.colt.matrix.tobject.algo.ObjectSorting: Sorts the vector into ascending order, according to the order induced by the specified comparator.
sort(ObjectMatrix2D, int) - Method in class cern.colt.matrix.tobject.algo.ObjectSorting: Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
sort(ObjectMatrix2D, ObjectMatrix1DComparator) - Method in class cern.colt.matrix.tobject.algo.ObjectSorting: Sorts the matrix rows according to the order induced by the specified comparator.
sort(ObjectMatrix3D, int, int) - Method in class cern.colt.matrix.tobject.algo.ObjectSorting: Sorts the matrix slices into ascending order, according to the natural ordering of the matrix values in the given [row,column] position.
sort(ObjectMatrix3D, ObjectMatrix2DComparator) - Method in class cern.colt.matrix.tobject.algo.ObjectSorting: Sorts the matrix slices according to the order induced by the specified comparator.
sort() - Method in class cern.jet.stat.Buffer: Sorts the receiver.
sort() - Method in class cern.jet.stat.tdouble.quantile.DoubleBuffer: Sorts the receiver.
sortColumnIndexes() - Method in class cern.colt.matrix.tdouble.impl.SparseRCDoubleMatrix2D: Sorts column indexes
sortColumnIndexes() - Method in class cern.colt.matrix.tfloat.impl.SparseRCFloatMatrix2D: Sorts column indexes
sortColumnIndexes() - Method in class cern.colt.matrix.tint.impl.SparseRCIntMatrix2D: Sorts column indexes
sortColumnIndexes() - Method in class cern.colt.matrix.tlong.impl.SparseRCLongMatrix2D: Sorts column indexes
sortColumnIndexes() - Method in class cern.colt.matrix.tobject.impl.SparseRCObjectMatrix2D: Sorts column indexes
sortedElements() - Method in class hep.aida.tdouble.bin.DynamicDoubleBin1D: Returns a copy of the currently stored elements, sorted ascending.
sortedElements() - Method in class hep.aida.tfloat.bin.DynamicFloatBin1D: Returns a copy of the currently stored elements, sorted ascending.
sortFromTo(int, int) - Method in class cern.colt.list.AbstractList: Sorts the specified range of the receiver into ascending order.
sortFromTo(int, int) - Method in class cern.colt.list.tboolean.BooleanArrayList: Sorts the specified range of the receiver into ascending order.
sortFromTo(int, int) - Method in class cern.colt.list.tbyte.ByteArrayList: Sorts the specified range of the receiver into ascending order.
sortFromTo(int, int) - Method in class cern.colt.list.tchar.CharArrayList: Sorts the specified range of the receiver into ascending order.
sortFromTo(int, int) - Method in class cern.colt.list.tint.IntArrayList: Sorts the specified range of the receiver into ascending order.
sortFromTo(int, int) - Method in class cern.colt.list.tlong.LongArrayList: Sorts the specified range of the receiver into ascending order.
sortFromTo(int, int) - Method in class cern.colt.list.tshort.ShortArrayList: Sorts the specified range of the receiver into ascending order.
sortIndex(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.algo.DoubleSorting: Sorts indexes of the vector into ascending order.
sortIndex(DoubleMatrix1D, IntComparator) - Method in class cern.colt.matrix.tdouble.algo.DoubleSorting: Multithreaded method that sorts indexes of the vector according to the comparator comp.
sortIndex(DoubleMatrix1D, DoubleComparator) - Method in class cern.colt.matrix.tdouble.algo.DoubleSorting: Sorts indexes of the vector according to the comparator c.
sortIndex(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.algo.FloatSorting: Sorts indexes of the vector into ascending order.
sortIndex(FloatMatrix1D, IntComparator) - Method in class cern.colt.matrix.tfloat.algo.FloatSorting: Multithreaded method that sorts indexes of the vector according to the comparator comp.
sortIndex(FloatMatrix1D, FloatComparator) - Method in class cern.colt.matrix.tfloat.algo.FloatSorting: Sorts indexes of the vector according to the comparator c.
sortIndex(IntMatrix1D) - Method in class cern.colt.matrix.tint.algo.IntSorting: Sorts indexes of the vector into ascending order.
sortIndex(IntMatrix1D, IntComparator) - Method in class cern.colt.matrix.tint.algo.IntSorting: Sorts indexes of the vector according to the comparator c.
sortIndex(LongMatrix1D) - Method in class cern.colt.matrix.tlong.algo.LongSorting: Sorts indexes of the vector into ascending order.
sortIndex(LongMatrix1D, LongComparator) - Method in class cern.colt.matrix.tlong.algo.LongSorting: Sorts indexes of the vector according to the comparator c.
Sorting - Class in cern.colt: Quicksorts, mergesorts and binary searches; complements java.util.Arrays.
sortRowIndexes() - Method in class cern.colt.matrix.tdcomplex.impl.SparseCCDComplexMatrix2D: Sorts row indexes
sortRowIndexes() - Method in class cern.colt.matrix.tdouble.impl.SparseCCDoubleMatrix2D: Sorts row indexes
sortRowIndexes() - Method in class cern.colt.matrix.tfcomplex.impl.SparseCCFComplexMatrix2D: Sorts row indexes
sortRowIndexes() - Method in class cern.colt.matrix.tfloat.impl.SparseCCFloatMatrix2D: Sorts row indexes
sortRowIndexes() - Method in class cern.colt.matrix.tint.impl.SparseCCIntMatrix2D: Sorts row indexes
sortRowIndexes() - Method in class cern.colt.matrix.tlong.impl.SparseCCLongMatrix2D: Sorts row indexes
sortRowIndexes() - Method in class cern.colt.matrix.tobject.impl.SparseCCObjectMatrix2D: Sorts row indexes
sparse - Static variable in class cern.colt.matrix.tdcomplex.DComplexFactory1D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tdcomplex.DComplexFactory2D: A factory producing sparse hash matrices.
sparse - Static variable in class cern.colt.matrix.tdcomplex.DComplexFactory3D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tdouble.DoubleFactory1D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tdouble.DoubleFactory2D: A factory producing sparse hash matrices.
sparse - Static variable in class cern.colt.matrix.tdouble.DoubleFactory3D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tfcomplex.FComplexFactory1D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tfcomplex.FComplexFactory2D: A factory producing sparse hash matrices.
sparse - Static variable in class cern.colt.matrix.tfcomplex.FComplexFactory3D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tfloat.FloatFactory1D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tfloat.FloatFactory2D: A factory producing sparse hash matrices.
sparse - Static variable in class cern.colt.matrix.tfloat.FloatFactory3D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tint.IntFactory1D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tint.IntFactory2D: A factory producing sparse hash matrices.
sparse - Static variable in class cern.colt.matrix.tint.IntFactory3D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tlong.LongFactory1D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tlong.LongFactory2D: A factory producing sparse hash matrices.
sparse - Static variable in class cern.colt.matrix.tlong.LongFactory3D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tobject.ObjectFactory1D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tobject.ObjectFactory2D: A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.tobject.ObjectFactory3D: A factory producing sparse matrices.
SparseCCDComplexMatrix2D - Class in cern.colt.matrix.tdcomplex.impl: Sparse column-compressed 2-d matrix holding complex elements.
SparseCCDComplexMatrix2D(double[][]) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseCCDComplexMatrix2D: Constructs a matrix with a copy of the given values.
SparseCCDComplexMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseCCDComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCDComplexMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseCCDComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCDComplexMatrix2D(int, int, int[], int[], double, double, boolean) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseCCDComplexMatrix2D: Constructs a matrix with indexes given in the coordinate format and a single value.
SparseCCDComplexMatrix2D(int, int, int[], int[], double[], boolean, boolean) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseCCDComplexMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseCCDoubleMatrix2D - Class in cern.colt.matrix.tdouble.impl: Sparse column-compressed 2-d matrix holding double elements.
SparseCCDoubleMatrix2D(double[][]) - Constructor for class cern.colt.matrix.tdouble.impl.SparseCCDoubleMatrix2D: Constructs a matrix with a copy of the given values.
SparseCCDoubleMatrix2D(Dcs_common.Dcs) - Constructor for class cern.colt.matrix.tdouble.impl.SparseCCDoubleMatrix2D: Constructs a matrix with a given internal storage.
SparseCCDoubleMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdouble.impl.SparseCCDoubleMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCDoubleMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tdouble.impl.SparseCCDoubleMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCDoubleMatrix2D(int, int, int[], int[], double, boolean, boolean) - Constructor for class cern.colt.matrix.tdouble.impl.SparseCCDoubleMatrix2D: Constructs a matrix with indexes given in the coordinate format and a single value.
SparseCCDoubleMatrix2D(int, int, int[], int[], double[], boolean, boolean, boolean) - Constructor for class cern.colt.matrix.tdouble.impl.SparseCCDoubleMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseCCFComplexMatrix2D - Class in cern.colt.matrix.tfcomplex.impl: Sparse column-compressed 2-d matrix holding complex elements.
SparseCCFComplexMatrix2D(float[][]) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseCCFComplexMatrix2D: Constructs a matrix with a copy of the given values.
SparseCCFComplexMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseCCFComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCFComplexMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseCCFComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCFComplexMatrix2D(int, int, int[], int[], float, float, boolean) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseCCFComplexMatrix2D: Constructs a matrix with indexes given in the coordinate format and a single value.
SparseCCFComplexMatrix2D(int, int, int[], int[], float[], boolean, boolean) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseCCFComplexMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseCCFloatMatrix2D - Class in cern.colt.matrix.tfloat.impl: Sparse column-compressed 2-d matrix holding float elements.
SparseCCFloatMatrix2D(float[][]) - Constructor for class cern.colt.matrix.tfloat.impl.SparseCCFloatMatrix2D: Constructs a matrix with a copy of the given values.
SparseCCFloatMatrix2D(Scs_common.Scs) - Constructor for class cern.colt.matrix.tfloat.impl.SparseCCFloatMatrix2D: Constructs a matrix with a given internal storage.
SparseCCFloatMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfloat.impl.SparseCCFloatMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCFloatMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tfloat.impl.SparseCCFloatMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCFloatMatrix2D(int, int, int[], int[], float, boolean, boolean) - Constructor for class cern.colt.matrix.tfloat.impl.SparseCCFloatMatrix2D: Constructs a matrix with indexes given in the coordinate format and a single value.
SparseCCFloatMatrix2D(int, int, int[], int[], float[], boolean, boolean, boolean) - Constructor for class cern.colt.matrix.tfloat.impl.SparseCCFloatMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseCCIntMatrix2D - Class in cern.colt.matrix.tint.impl: Sparse column-compressed 2-d matrix holding int elements.
SparseCCIntMatrix2D(int[][]) - Constructor for class cern.colt.matrix.tint.impl.SparseCCIntMatrix2D: Constructs a matrix with a copy of the given values.
SparseCCIntMatrix2D(int, int) - Constructor for class cern.colt.matrix.tint.impl.SparseCCIntMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCIntMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tint.impl.SparseCCIntMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCIntMatrix2D(int, int, int[], int[], int, boolean, boolean) - Constructor for class cern.colt.matrix.tint.impl.SparseCCIntMatrix2D: Constructs a matrix with indexes given in the coordinate format and a single value.
SparseCCIntMatrix2D(int, int, int[], int[], int[], boolean, boolean, boolean) - Constructor for class cern.colt.matrix.tint.impl.SparseCCIntMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseCCLongMatrix2D - Class in cern.colt.matrix.tlong.impl: Sparse column-compressed 2-d matrix holding long elements.
SparseCCLongMatrix2D(long[][]) - Constructor for class cern.colt.matrix.tlong.impl.SparseCCLongMatrix2D: Constructs a matrix with a copy of the given values.
SparseCCLongMatrix2D(int, int) - Constructor for class cern.colt.matrix.tlong.impl.SparseCCLongMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCLongMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tlong.impl.SparseCCLongMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCLongMatrix2D(int, int, int[], int[], long, boolean, boolean) - Constructor for class cern.colt.matrix.tlong.impl.SparseCCLongMatrix2D: Constructs a matrix with indexes given in the coordinate format and a single value.
SparseCCLongMatrix2D(int, int, int[], int[], long[], boolean, boolean, boolean) - Constructor for class cern.colt.matrix.tlong.impl.SparseCCLongMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseCCMDComplexMatrix2D - Class in cern.colt.matrix.tdcomplex.impl: Sparse column-compressed-modified 2-d matrix holding complex elements.
SparseCCMDComplexMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseCCMDComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCMDoubleMatrix2D - Class in cern.colt.matrix.tdouble.impl: Sparse column-compressed-modified 2-d matrix holding double elements.
SparseCCMDoubleMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdouble.impl.SparseCCMDoubleMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCMFComplexMatrix2D - Class in cern.colt.matrix.tfcomplex.impl: Sparse column-compressed-modified 2-d matrix holding complex elements.
SparseCCMFComplexMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseCCMFComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCMFloatMatrix2D - Class in cern.colt.matrix.tfloat.impl: Sparse column-compressed-modified 2-d matrix holding float elements.
SparseCCMFloatMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfloat.impl.SparseCCMFloatMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCMIntMatrix2D - Class in cern.colt.matrix.tint.impl: Sparse column-compressed-modified 2-d matrix holding int elements.
SparseCCMIntMatrix2D(int, int) - Constructor for class cern.colt.matrix.tint.impl.SparseCCMIntMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCMLongMatrix2D - Class in cern.colt.matrix.tlong.impl: Sparse column-compressed-modified 2-d matrix holding long elements.
SparseCCMLongMatrix2D(int, int) - Constructor for class cern.colt.matrix.tlong.impl.SparseCCMLongMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCMObjectMatrix2D - Class in cern.colt.matrix.tobject.impl: Sparse column-compressed-modified 2-d matrix holding Object elements.
SparseCCMObjectMatrix2D(int, int) - Constructor for class cern.colt.matrix.tobject.impl.SparseCCMObjectMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCObjectMatrix2D - Class in cern.colt.matrix.tobject.impl: Sparse column-compressed 2-d matrix holding Object elements.
SparseCCObjectMatrix2D(Object[][]) - Constructor for class cern.colt.matrix.tobject.impl.SparseCCObjectMatrix2D: Constructs a matrix with a copy of the given values.
SparseCCObjectMatrix2D(int, int) - Constructor for class cern.colt.matrix.tobject.impl.SparseCCObjectMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCObjectMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tobject.impl.SparseCCObjectMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseCCObjectMatrix2D(int, int, int[], int[], Object, boolean) - Constructor for class cern.colt.matrix.tobject.impl.SparseCCObjectMatrix2D: Constructs a matrix with indexes given in the coordinate format and a single value.
SparseCCObjectMatrix2D(int, int, int[], int[], Object[], boolean, boolean) - Constructor for class cern.colt.matrix.tobject.impl.SparseCCObjectMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseDComplexMatrix1D - Class in cern.colt.matrix.tdcomplex.impl: Sparse hashed 1-d matrix (aka vector) holding complex elements.
SparseDComplexMatrix1D(double[]) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseDComplexMatrix1D: Constructs a matrix with a copy of the given values.
SparseDComplexMatrix1D(int) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseDComplexMatrix1D: Constructs a matrix with a given number of cells.
SparseDComplexMatrix2D - Class in cern.colt.matrix.tdcomplex.impl: Sparse hashed 2-d matrix holding complex elements.
SparseDComplexMatrix2D(double[][]) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseDComplexMatrix2D: Constructs a matrix with a copy of the given values.
SparseDComplexMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseDComplexMatrix2D: Constructs a matrix with a given number of rows and columns and default memory usage.
SparseDComplexMatrix3D - Class in cern.colt.matrix.tdcomplex.impl: Sparse hashed 3-d matrix holding complex elements.
SparseDComplexMatrix3D(double[][][]) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseDComplexMatrix3D: Constructs a matrix with a copy of the given values.
SparseDComplexMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseDComplexMatrix3D: Constructs a matrix with a given number of slices, rows and columns and default memory usage.
SparseDoubleAlgebra - Class in cern.colt.matrix.tdouble.algo: Linear algebraic matrix operations operating on sparse matrices.
SparseDoubleAlgebra() - Constructor for class cern.colt.matrix.tdouble.algo.SparseDoubleAlgebra: Constructs a new instance with an equality tolerance given by Property.DEFAULT.tolerance().
SparseDoubleAlgebra(double) - Constructor for class cern.colt.matrix.tdouble.algo.SparseDoubleAlgebra: Constructs a new instance with the given equality tolerance.
SparseDoubleCholeskyDecomposition - Class in cern.colt.matrix.tdouble.algo.decomposition: For a symmetric, positive definite matrix A, the Cholesky decomposition is a lower triangular matrix L so that A = L*L'; If the matrix is not symmetric positive definite, the IllegalArgumentException is thrown.
SparseDoubleCholeskyDecomposition(DoubleMatrix2D, int) - Constructor for class cern.colt.matrix.tdouble.algo.decomposition.SparseDoubleCholeskyDecomposition: Constructs and returns a new Cholesky decomposition object for a sparse symmetric and positive definite matrix; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
SparseDoubleLUDecomposition - Class in cern.colt.matrix.tdouble.algo.decomposition: For a square matrix A, the LU decomposition is an unit lower triangular matrix L, an upper triangular matrix U, and a permutation vector piv so that A(piv,:) = L*U
SparseDoubleLUDecomposition(DoubleMatrix2D, int, boolean) - Constructor for class cern.colt.matrix.tdouble.algo.decomposition.SparseDoubleLUDecomposition: Constructs and returns a new LU Decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
SparseDoubleMatrix1D - Class in cern.colt.matrix.tdouble.impl: Sparse hashed 1-d matrix (aka vector) holding double elements.
SparseDoubleMatrix1D(double[]) - Constructor for class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix1D: Constructs a matrix with a copy of the given values.
SparseDoubleMatrix1D(int) - Constructor for class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix1D: Constructs a matrix with a given number of cells.
SparseDoubleMatrix1D(int, int, double, double) - Constructor for class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix1D: Constructs a matrix with a given number of parameters.
SparseDoubleMatrix2D - Class in cern.colt.matrix.tdouble.impl: Sparse hashed 2-d matrix holding double elements.
SparseDoubleMatrix2D(double[][]) - Constructor for class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix2D: Constructs a matrix with a copy of the given values.
SparseDoubleMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix2D: Constructs a matrix with a given number of rows and columns and default memory usage.
SparseDoubleMatrix2D(int, int, int, double, double) - Constructor for class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix2D: Constructs a matrix with a given number of rows and columns using memory as specified.
SparseDoubleMatrix2D(int, int, int[], int[], double) - Constructor for class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix2D: Constructs a matrix with a copy of the given indexes and a single value.
SparseDoubleMatrix2D(int, int, int[], int[], double[]) - Constructor for class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix2D: Constructs a matrix with a copy of the given indexes and values.
SparseDoubleMatrix2D(MatrixVectorReader) - Constructor for class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix2D: Constructs a matrix from MatrixVectorReader.
SparseDoubleMatrix3D - Class in cern.colt.matrix.tdouble.impl: Sparse hashed 3-d matrix holding double elements.
SparseDoubleMatrix3D(double[][][]) - Constructor for class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix3D: Constructs a matrix with a copy of the given values.
SparseDoubleMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix3D: Constructs a matrix with a given number of slices, rows and columns and default memory usage.
SparseDoubleMatrix3D(int, int, int, int, double, double) - Constructor for class cern.colt.matrix.tdouble.impl.SparseDoubleMatrix3D: Constructs a matrix with a given number of slices, rows and columns using memory as specified.
SparseDoubleQRDecomposition - Class in cern.colt.matrix.tdouble.algo.decomposition: For an m x n matrix A with m >= n, the QR decomposition is an m x n orthogonal matrix Q and an n x n upper triangular matrix R so that A = Q*R.
SparseDoubleQRDecomposition(DoubleMatrix2D, int) - Constructor for class cern.colt.matrix.tdouble.algo.decomposition.SparseDoubleQRDecomposition: Constructs and returns a new QR decomposition object; computed by Householder reflections; If m < n then then the QR of A' is computed.
SparseFComplexMatrix1D - Class in cern.colt.matrix.tfcomplex.impl: Sparse hashed 1-d matrix (aka vector) holding complex elements.
SparseFComplexMatrix1D(float[]) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseFComplexMatrix1D: Constructs a matrix with a copy of the given values.
SparseFComplexMatrix1D(int) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseFComplexMatrix1D: Constructs a matrix with a given number of cells.
SparseFComplexMatrix2D - Class in cern.colt.matrix.tfcomplex.impl: Sparse hashed 2-d matrix holding complex elements.
SparseFComplexMatrix2D(float[][]) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseFComplexMatrix2D: Constructs a matrix with a copy of the given values.
SparseFComplexMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseFComplexMatrix2D: Constructs a matrix with a given number of rows and columns and default memory usage.
SparseFComplexMatrix3D - Class in cern.colt.matrix.tfcomplex.impl: Sparse hashed 3-d matrix holding complex elements.
SparseFComplexMatrix3D(float[][][]) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseFComplexMatrix3D: Constructs a matrix with a copy of the given values.
SparseFComplexMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseFComplexMatrix3D: Constructs a matrix with a given number of slices, rows and columns and default memory usage.
SparseFloatAlgebra - Class in cern.colt.matrix.tfloat.algo: Linear algebraic matrix operations operating on sparse matrices.
SparseFloatAlgebra() - Constructor for class cern.colt.matrix.tfloat.algo.SparseFloatAlgebra: Constructs a new instance with an equality tolerance given by Property.DEFAULT.tolerance().
SparseFloatAlgebra(float) - Constructor for class cern.colt.matrix.tfloat.algo.SparseFloatAlgebra: Constructs a new instance with the given equality tolerance.
SparseFloatCholeskyDecomposition - Class in cern.colt.matrix.tfloat.algo.decomposition: For a symmetric, positive definite matrix A, the Cholesky decomposition is a lower triangular matrix L so that A = L*L'; If the matrix is not symmetric positive definite, the IllegalArgumentException is thrown.
SparseFloatCholeskyDecomposition(FloatMatrix2D, int) - Constructor for class cern.colt.matrix.tfloat.algo.decomposition.SparseFloatCholeskyDecomposition: Constructs and returns a new Cholesky decomposition object for a sparse symmetric and positive definite matrix; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
SparseFloatLUDecomposition - Class in cern.colt.matrix.tfloat.algo.decomposition: For a square matrix A, the LU decomposition is an unit lower triangular matrix L, an upper triangular matrix U, and a permutation vector piv so that A(piv,:) = L*U
SparseFloatLUDecomposition(FloatMatrix2D, int, boolean) - Constructor for class cern.colt.matrix.tfloat.algo.decomposition.SparseFloatLUDecomposition: Constructs and returns a new LU Decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
SparseFloatMatrix1D - Class in cern.colt.matrix.tfloat.impl: Sparse hashed 1-d matrix (aka vector) holding float elements.
SparseFloatMatrix1D(float[]) - Constructor for class cern.colt.matrix.tfloat.impl.SparseFloatMatrix1D: Constructs a matrix with a copy of the given values.
SparseFloatMatrix1D(int) - Constructor for class cern.colt.matrix.tfloat.impl.SparseFloatMatrix1D: Constructs a matrix with a given number of cells.
SparseFloatMatrix1D(int, int, float, float) - Constructor for class cern.colt.matrix.tfloat.impl.SparseFloatMatrix1D: Constructs a matrix with a given number of parameters.
SparseFloatMatrix2D - Class in cern.colt.matrix.tfloat.impl: Sparse hashed 2-d matrix holding float elements.
SparseFloatMatrix2D(float[][]) - Constructor for class cern.colt.matrix.tfloat.impl.SparseFloatMatrix2D: Constructs a matrix with a copy of the given values.
SparseFloatMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfloat.impl.SparseFloatMatrix2D: Constructs a matrix with a given number of rows and columns and default memory usage.
SparseFloatMatrix2D(int, int, int, float, float) - Constructor for class cern.colt.matrix.tfloat.impl.SparseFloatMatrix2D: Constructs a matrix with a given number of rows and columns using memory as specified.
SparseFloatMatrix2D(int, int, int[], int[], float) - Constructor for class cern.colt.matrix.tfloat.impl.SparseFloatMatrix2D: Constructs a matrix with a copy of the given indexes and a single value.
SparseFloatMatrix2D(int, int, int[], int[], float[]) - Constructor for class cern.colt.matrix.tfloat.impl.SparseFloatMatrix2D: Constructs a matrix with a copy of the given indexes and values.
SparseFloatMatrix2D(MatrixVectorReader) - Constructor for class cern.colt.matrix.tfloat.impl.SparseFloatMatrix2D: Constructs a matrix from MatrixVectorReader.
SparseFloatMatrix3D - Class in cern.colt.matrix.tfloat.impl: Sparse hashed 3-d matrix holding float elements.
SparseFloatMatrix3D(float[][][]) - Constructor for class cern.colt.matrix.tfloat.impl.SparseFloatMatrix3D: Constructs a matrix with a copy of the given values.
SparseFloatMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tfloat.impl.SparseFloatMatrix3D: Constructs a matrix with a given number of slices, rows and columns and default memory usage.
SparseFloatMatrix3D(int, int, int, int, float, float) - Constructor for class cern.colt.matrix.tfloat.impl.SparseFloatMatrix3D: Constructs a matrix with a given number of slices, rows and columns using memory as specified.
SparseFloatQRDecomposition - Class in cern.colt.matrix.tfloat.algo.decomposition: For an m x n matrix A with m >= n, the QR decomposition is an m x n orthogonal matrix Q and an n x n upper triangular matrix R so that A = Q*R.
SparseFloatQRDecomposition(FloatMatrix2D, int) - Constructor for class cern.colt.matrix.tfloat.algo.decomposition.SparseFloatQRDecomposition: Constructs and returns a new QR decomposition object; computed by Householder reflections; If m < n then then the QR of A' is computed.
SparseIntMatrix1D - Class in cern.colt.matrix.tint.impl: Sparse hashed 1-d matrix (aka vector) holding int elements.
SparseIntMatrix1D(int[]) - Constructor for class cern.colt.matrix.tint.impl.SparseIntMatrix1D: Constructs a matrix with a copy of the given values.
SparseIntMatrix1D(int) - Constructor for class cern.colt.matrix.tint.impl.SparseIntMatrix1D: Constructs a matrix with a given number of cells.
SparseIntMatrix1D(int, int, double, double) - Constructor for class cern.colt.matrix.tint.impl.SparseIntMatrix1D: Constructs a matrix with a given number of parameters.
SparseIntMatrix2D - Class in cern.colt.matrix.tint.impl: Sparse hashed 2-d matrix holding int elements.
SparseIntMatrix2D(int[][]) - Constructor for class cern.colt.matrix.tint.impl.SparseIntMatrix2D: Constructs a matrix with a copy of the given values.
SparseIntMatrix2D(int, int) - Constructor for class cern.colt.matrix.tint.impl.SparseIntMatrix2D: Constructs a matrix with a given number of rows and columns and default memory usage.
SparseIntMatrix2D(int, int, int, double, double) - Constructor for class cern.colt.matrix.tint.impl.SparseIntMatrix2D: Constructs a matrix with a given number of rows and columns using memory as specified.
SparseIntMatrix2D(int, int, int[], int[], int) - Constructor for class cern.colt.matrix.tint.impl.SparseIntMatrix2D: Constructs a matrix with a copy of the given indexes and a single value.
SparseIntMatrix2D(int, int, int[], int[], int[]) - Constructor for class cern.colt.matrix.tint.impl.SparseIntMatrix2D: Constructs a matrix with a copy of the given indexes and values.
SparseIntMatrix2D(MatrixVectorReader) - Constructor for class cern.colt.matrix.tint.impl.SparseIntMatrix2D: Constructs a matrix from MatrixVectorReader.
SparseIntMatrix3D - Class in cern.colt.matrix.tint.impl: Sparse hashed 3-d matrix holding int elements.
SparseIntMatrix3D(int[][][]) - Constructor for class cern.colt.matrix.tint.impl.SparseIntMatrix3D: Constructs a matrix with a copy of the given values.
SparseIntMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tint.impl.SparseIntMatrix3D: Constructs a matrix with a given number of slices, rows and columns and default memory usage.
SparseIntMatrix3D(int, int, int, int, double, double) - Constructor for class cern.colt.matrix.tint.impl.SparseIntMatrix3D: Constructs a matrix with a given number of slices, rows and columns using memory as specified.
SparseLongMatrix1D - Class in cern.colt.matrix.tlong.impl: Sparse hashed 1-d matrix (aka vector) holding long elements.
SparseLongMatrix1D(long[]) - Constructor for class cern.colt.matrix.tlong.impl.SparseLongMatrix1D: Constructs a matrix with a copy of the given values.
SparseLongMatrix1D(int) - Constructor for class cern.colt.matrix.tlong.impl.SparseLongMatrix1D: Constructs a matrix with a given number of cells.
SparseLongMatrix1D(int, int, double, double) - Constructor for class cern.colt.matrix.tlong.impl.SparseLongMatrix1D: Constructs a matrix with a given number of parameters.
SparseLongMatrix2D - Class in cern.colt.matrix.tlong.impl: Sparse hashed 2-d matrix holding long elements.
SparseLongMatrix2D(long[][]) - Constructor for class cern.colt.matrix.tlong.impl.SparseLongMatrix2D: Constructs a matrix with a copy of the given values.
SparseLongMatrix2D(int, int) - Constructor for class cern.colt.matrix.tlong.impl.SparseLongMatrix2D: Constructs a matrix with a given number of rows and columns and default memory usage.
SparseLongMatrix2D(int, int, int, double, double) - Constructor for class cern.colt.matrix.tlong.impl.SparseLongMatrix2D: Constructs a matrix with a given number of rows and columns using memory as specified.
SparseLongMatrix2D(int, int, int[], int[], long) - Constructor for class cern.colt.matrix.tlong.impl.SparseLongMatrix2D: Constructs a matrix with a copy of the given indexes and a single value.
SparseLongMatrix2D(int, int, int[], int[], long[]) - Constructor for class cern.colt.matrix.tlong.impl.SparseLongMatrix2D: Constructs a matrix with a copy of the given indexes and values.
SparseLongMatrix2D(MatrixVectorReader) - Constructor for class cern.colt.matrix.tlong.impl.SparseLongMatrix2D: Constructs a matrix from MatrixVectorReader.
SparseLongMatrix3D - Class in cern.colt.matrix.tlong.impl: Sparse hashed 3-d matrix holding long elements.
SparseLongMatrix3D(long[][][]) - Constructor for class cern.colt.matrix.tlong.impl.SparseLongMatrix3D: Constructs a matrix with a copy of the given values.
SparseLongMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tlong.impl.SparseLongMatrix3D: Constructs a matrix with a given number of slices, rows and columns and default memory usage.
SparseLongMatrix3D(int, int, int, int, double, double) - Constructor for class cern.colt.matrix.tlong.impl.SparseLongMatrix3D: Constructs a matrix with a given number of slices, rows and columns using memory as specified.
SparseObjectMatrix1D - Class in cern.colt.matrix.tobject.impl: Sparse hashed 1-d matrix (aka vector) holding Object elements.
SparseObjectMatrix1D(Object[]) - Constructor for class cern.colt.matrix.tobject.impl.SparseObjectMatrix1D: Constructs a matrix with a copy of the given values.
SparseObjectMatrix1D(int) - Constructor for class cern.colt.matrix.tobject.impl.SparseObjectMatrix1D: Constructs a matrix with a given number of cells.
SparseObjectMatrix1D(int, int, double, double) - Constructor for class cern.colt.matrix.tobject.impl.SparseObjectMatrix1D: Constructs a matrix with a given number of parameters.
SparseObjectMatrix2D - Class in cern.colt.matrix.tobject.impl: Sparse hashed 2-d matrix holding Object elements.
SparseObjectMatrix2D(Object[][]) - Constructor for class cern.colt.matrix.tobject.impl.SparseObjectMatrix2D: Constructs a matrix with a copy of the given values.
SparseObjectMatrix2D(int, int) - Constructor for class cern.colt.matrix.tobject.impl.SparseObjectMatrix2D: Constructs a matrix with a given number of rows and columns and default memory usage.
SparseObjectMatrix2D(int, int, int, double, double) - Constructor for class cern.colt.matrix.tobject.impl.SparseObjectMatrix2D: Constructs a matrix with a given number of rows and columns using memory as specified.
SparseObjectMatrix3D - Class in cern.colt.matrix.tobject.impl: Sparse hashed 3-d matrix holding Object elements.
SparseObjectMatrix3D(Object[][][]) - Constructor for class cern.colt.matrix.tobject.impl.SparseObjectMatrix3D: Constructs a matrix with a copy of the given values.
SparseObjectMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.tobject.impl.SparseObjectMatrix3D: Constructs a matrix with a given number of slices, rows and columns and default memory usage.
SparseObjectMatrix3D(int, int, int, int, double, double) - Constructor for class cern.colt.matrix.tobject.impl.SparseObjectMatrix3D: Constructs a matrix with a given number of slices, rows and columns using memory as specified.
SparseRCDComplexMatrix2D - Class in cern.colt.matrix.tdcomplex.impl: Sparse row-compressed 2-d matrix holding complex elements.
SparseRCDComplexMatrix2D(double[][]) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseRCDComplexMatrix2D: Constructs a matrix with a copy of the given values.
SparseRCDComplexMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseRCDComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCDComplexMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseRCDComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCDComplexMatrix2D(int, int, int[], int[], double, double, boolean) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseRCDComplexMatrix2D: Constructs a matrix with indexes given in the coordinate format and single value.
SparseRCDComplexMatrix2D(int, int, int[], int[], double[], boolean, boolean) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseRCDComplexMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseRCDComplexMatrix2D(int, int, int[], int[], double[]) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseRCDComplexMatrix2D: Constructs a matrix with given parameters.
SparseRCDoubleMatrix2D - Class in cern.colt.matrix.tdouble.impl: Sparse row-compressed 2-d matrix holding double elements.
SparseRCDoubleMatrix2D(double[][]) - Constructor for class cern.colt.matrix.tdouble.impl.SparseRCDoubleMatrix2D: Constructs a matrix with a copy of the given values.
SparseRCDoubleMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdouble.impl.SparseRCDoubleMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCDoubleMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tdouble.impl.SparseRCDoubleMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCDoubleMatrix2D(int, int, int[], int[], double, boolean, boolean) - Constructor for class cern.colt.matrix.tdouble.impl.SparseRCDoubleMatrix2D: Constructs a matrix with indexes given in the coordinate format and single value.
SparseRCDoubleMatrix2D(int, int, int[], int[], double[], boolean, boolean, boolean) - Constructor for class cern.colt.matrix.tdouble.impl.SparseRCDoubleMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseRCDoubleMatrix2D(int, int, int[], int[], double[]) - Constructor for class cern.colt.matrix.tdouble.impl.SparseRCDoubleMatrix2D: Constructs a matrix with given parameters.
SparseRCFComplexMatrix2D - Class in cern.colt.matrix.tfcomplex.impl: Sparse row-compressed 2-d matrix holding complex elements.
SparseRCFComplexMatrix2D(float[][]) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseRCFComplexMatrix2D: Constructs a matrix with a copy of the given values.
SparseRCFComplexMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseRCFComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCFComplexMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseRCFComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCFComplexMatrix2D(int, int, int[], int[], float, float, boolean) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseRCFComplexMatrix2D: Constructs a matrix with indexes given in the coordinate format and single value.
SparseRCFComplexMatrix2D(int, int, int[], int[], float[], boolean, boolean) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseRCFComplexMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseRCFComplexMatrix2D(int, int, int[], int[], float[]) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseRCFComplexMatrix2D: Constructs a matrix with given parameters.
SparseRCFloatMatrix2D - Class in cern.colt.matrix.tfloat.impl: Sparse row-compressed 2-d matrix holding float elements.
SparseRCFloatMatrix2D(float[][]) - Constructor for class cern.colt.matrix.tfloat.impl.SparseRCFloatMatrix2D: Constructs a matrix with a copy of the given values.
SparseRCFloatMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfloat.impl.SparseRCFloatMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCFloatMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tfloat.impl.SparseRCFloatMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCFloatMatrix2D(int, int, int[], int[], float, boolean, boolean) - Constructor for class cern.colt.matrix.tfloat.impl.SparseRCFloatMatrix2D: Constructs a matrix with indexes given in the coordinate format and single value.
SparseRCFloatMatrix2D(int, int, int[], int[], float[], boolean, boolean, boolean) - Constructor for class cern.colt.matrix.tfloat.impl.SparseRCFloatMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseRCFloatMatrix2D(int, int, int[], int[], float[]) - Constructor for class cern.colt.matrix.tfloat.impl.SparseRCFloatMatrix2D: Constructs a matrix with given parameters.
SparseRCIntMatrix2D - Class in cern.colt.matrix.tint.impl: Sparse row-compressed 2-d matrix holding int elements.
SparseRCIntMatrix2D(int[][]) - Constructor for class cern.colt.matrix.tint.impl.SparseRCIntMatrix2D: Constructs a matrix with a copy of the given values.
SparseRCIntMatrix2D(int, int) - Constructor for class cern.colt.matrix.tint.impl.SparseRCIntMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCIntMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tint.impl.SparseRCIntMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCIntMatrix2D(int, int, int[], int[], int, boolean, boolean) - Constructor for class cern.colt.matrix.tint.impl.SparseRCIntMatrix2D: Constructs a matrix with indexes given in the coordinate format and single value.
SparseRCIntMatrix2D(int, int, int[], int[], int[], boolean, boolean, boolean) - Constructor for class cern.colt.matrix.tint.impl.SparseRCIntMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseRCIntMatrix2D(int, int, int[], int[], int[]) - Constructor for class cern.colt.matrix.tint.impl.SparseRCIntMatrix2D: Constructs a matrix with given parameters.
SparseRCLongMatrix2D - Class in cern.colt.matrix.tlong.impl: Sparse row-compressed 2-d matrix holding long elements.
SparseRCLongMatrix2D(long[][]) - Constructor for class cern.colt.matrix.tlong.impl.SparseRCLongMatrix2D: Constructs a matrix with a copy of the given values.
SparseRCLongMatrix2D(int, int) - Constructor for class cern.colt.matrix.tlong.impl.SparseRCLongMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCLongMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tlong.impl.SparseRCLongMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCLongMatrix2D(int, int, int[], int[], long, boolean, boolean) - Constructor for class cern.colt.matrix.tlong.impl.SparseRCLongMatrix2D: Constructs a matrix with indexes given in the coordinate format and single value.
SparseRCLongMatrix2D(int, int, int[], int[], long[], boolean, boolean, boolean) - Constructor for class cern.colt.matrix.tlong.impl.SparseRCLongMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseRCLongMatrix2D(int, int, int[], int[], long[]) - Constructor for class cern.colt.matrix.tlong.impl.SparseRCLongMatrix2D: Constructs a matrix with given parameters.
SparseRCMDComplexMatrix2D - Class in cern.colt.matrix.tdcomplex.impl: Sparse row-compressed-modified 2-d matrix holding complex elements.
SparseRCMDComplexMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdcomplex.impl.SparseRCMDComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCMDoubleMatrix2D - Class in cern.colt.matrix.tdouble.impl: Sparse row-compressed-modified 2-d matrix holding double elements.
SparseRCMDoubleMatrix2D(int, int) - Constructor for class cern.colt.matrix.tdouble.impl.SparseRCMDoubleMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCMFComplexMatrix2D - Class in cern.colt.matrix.tfcomplex.impl: Sparse row-compressed-modified 2-d matrix holding complex elements.
SparseRCMFComplexMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfcomplex.impl.SparseRCMFComplexMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCMFloatMatrix2D - Class in cern.colt.matrix.tfloat.impl: Sparse row-compressed-modified 2-d matrix holding float elements.
SparseRCMFloatMatrix2D(int, int) - Constructor for class cern.colt.matrix.tfloat.impl.SparseRCMFloatMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCMIntMatrix2D - Class in cern.colt.matrix.tint.impl: Sparse row-compressed-modified 2-d matrix holding int elements.
SparseRCMIntMatrix2D(int, int) - Constructor for class cern.colt.matrix.tint.impl.SparseRCMIntMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCMLongMatrix2D - Class in cern.colt.matrix.tlong.impl: Sparse row-compressed-modified 2-d matrix holding long elements.
SparseRCMLongMatrix2D(int, int) - Constructor for class cern.colt.matrix.tlong.impl.SparseRCMLongMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCMObjectMatrix2D - Class in cern.colt.matrix.tobject.impl: Sparse row-compressed-modified 2-d matrix holding Object elements.
SparseRCMObjectMatrix2D(int, int) - Constructor for class cern.colt.matrix.tobject.impl.SparseRCMObjectMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCObjectMatrix2D - Class in cern.colt.matrix.tobject.impl: Sparse row-compressed 2-d matrix holding Object elements.
SparseRCObjectMatrix2D(Object[][]) - Constructor for class cern.colt.matrix.tobject.impl.SparseRCObjectMatrix2D: Constructs a matrix with a copy of the given values.
SparseRCObjectMatrix2D(int, int) - Constructor for class cern.colt.matrix.tobject.impl.SparseRCObjectMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCObjectMatrix2D(int, int, int) - Constructor for class cern.colt.matrix.tobject.impl.SparseRCObjectMatrix2D: Constructs a matrix with a given number of rows and columns.
SparseRCObjectMatrix2D(int, int, int[], int[], Object, boolean) - Constructor for class cern.colt.matrix.tobject.impl.SparseRCObjectMatrix2D: Constructs a matrix with indexes given in the coordinate format and single value.
SparseRCObjectMatrix2D(int, int, int[], int[], Object[], boolean, boolean) - Constructor for class cern.colt.matrix.tobject.impl.SparseRCObjectMatrix2D: Constructs a matrix with indexes and values given in the coordinate format.
SparseRCObjectMatrix2D(int, int, int[], int[], Object[]) - Constructor for class cern.colt.matrix.tobject.impl.SparseRCObjectMatrix2D: Constructs a matrix with given parameters.
split(DoubleArrayList, DoubleArrayList) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Splits (partitions) a list into sublists such that each sublist contains the elements with a given range.
split(FloatArrayList, FloatArrayList) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Splits (partitions) a list into sublists such that each sublist contains the elements with a given range.
splitApproximately(DoubleArrayList, int) - Method in class hep.aida.tdouble.bin.QuantileDoubleBin1D: Divides (rebins) a copy of the receiver at the given percentage boundaries into bins and returns these bins, such that each bin approximately reflects the data elements of its range.
splitApproximately(DoubleIAxis, int) - Method in class hep.aida.tdouble.bin.QuantileDoubleBin1D: Divides (rebins) a copy of the receiver at the given interval boundaries into bins and returns these bins, such that each bin approximately reflects the data elements of its range.
splitApproximately(FloatArrayList, int) - Method in class hep.aida.tfloat.bin.QuantileFloatBin1D: Divides (rebins) a copy of the receiver at the given percentage boundaries into bins and returns these bins, such that each bin approximately reflects the data elements of its range.
splitApproximately(FloatIAxis, int) - Method in class hep.aida.tfloat.bin.QuantileFloatBin1D: Divides (rebins) a copy of the receiver at the given interval boundaries into bins and returns these bins, such that each bin approximately reflects the data elements of its range.
sqrt(double[]) - Static method in class cern.jet.math.tdcomplex.DComplex
sqrt - Static variable in class cern.jet.math.tdcomplex.DComplexFunctions
sqrt - Static variable in class cern.jet.math.tdouble.DoubleFunctions: Function that returns Math.sqrt(a).
sqrt(float[]) - Static method in class cern.jet.math.tfcomplex.FComplex
sqrt - Static variable in class cern.jet.math.tfcomplex.FComplexFunctions
sqrt - Static variable in class cern.jet.math.tfloat.FloatFunctions: Function that returns Math.sqrt(a).
sqrteps - Static variable in class cern.colt.matrix.tdouble.algo.solver.DoubleCGLS
sqrteps - Static variable in class cern.colt.matrix.tdouble.algo.solver.DoubleMRNSD
sqrteps - Static variable in class cern.colt.matrix.tfloat.algo.solver.FloatCGLS
sqrteps - Static variable in class cern.colt.matrix.tfloat.algo.solver.FloatMRNSD
square(double[]) - Static method in class cern.jet.math.tdcomplex.DComplex
square - Static variable in class cern.jet.math.tdcomplex.DComplexFunctions
square - Static variable in class cern.jet.math.tdouble.DoubleFunctions: Function that returns a * a.
square(float[]) - Static method in class cern.jet.math.tfcomplex.FComplex
square - Static variable in class cern.jet.math.tfcomplex.FComplexFunctions
square - Static variable in class cern.jet.math.tfloat.FloatFunctions: Function that returns a * a.
square - Static variable in class cern.jet.math.tint.IntFunctions: Function that returns a * a.
square - Static variable in class cern.jet.math.tlong.LongFunctions: Function that returns a * a.
sr - Static variable in class cern.clhep.Units
standardDeviation(double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the standard deviation from a variance.
standardDeviation(float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the standard deviation from a variance.
standardDeviation() - Method in class hep.aida.tdouble.bin.AbstractDoubleBin1D: Returns the sample standard deviation, which is Math.sqrt(variance()).
standardDeviation() - Method in class hep.aida.tfloat.bin.AbstractFloatBin1D: Returns the sample standard deviation, which is Math.sqrt(variance()).
standardError(int, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the standard error of a data sequence.
standardError(int, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the standard error of a data sequence.
standardError() - Method in class hep.aida.tdouble.bin.AbstractDoubleBin1D: Returns the sample standard error, which is Math.sqrt(variance() / size())
standardError() - Method in class hep.aida.tfloat.bin.AbstractFloatBin1D: Returns the sample standard error, which is Math.sqrt(variance() / size())
standardize(DoubleArrayList, double, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Modifies a data sequence to be standardized.
standardize(FloatArrayList, float, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Modifies a data sequence to be standardized.
standardize(double, double) - Method in class hep.aida.tdouble.bin.DynamicDoubleBin1D: Modifies the receiver to be standardized.
standardize(float, float) - Method in class hep.aida.tfloat.bin.DynamicFloatBin1D: Modifies the receiver to be standardized.
start() - Method in class cern.colt.Timer: Starts the timer.
startOfBin(int) - Method in class cern.jet.stat.tdouble.quantile.DoubleEquiDepthHistogram: Returns the start of the range associated with the given bin.
startOfBin(int) - Method in class cern.jet.stat.tfloat.quantile.FloatEquiDepthHistogram: Returns the start of the range associated with the given bin.
StaticDoubleBin1D - Class in hep.aida.tdouble.bin: 1-dimensional non-rebinnable bin consuming double elements; Efficiently computes basic statistics of data sequences.
StaticDoubleBin1D() - Constructor for class hep.aida.tdouble.bin.StaticDoubleBin1D: Constructs and returns an empty bin.
StaticFloatBin1D - Class in hep.aida.tfloat.bin: 1-dimensional non-rebinnable bin consuming float elements; Efficiently computes basic statistics of data sequences.
StaticFloatBin1D() - Constructor for class hep.aida.tfloat.bin.StaticFloatBin1D: Constructs and returns an empty bin.
staticNextBoolean() - Static method in class cern.jet.random.tdouble.DoubleUniform: Returns a uniformly distributed random boolean.
staticNextBoolean() - Static method in class cern.jet.random.tfloat.FloatUniform: Returns a uniformly distributed random boolean.
staticNextDouble(double, double) - Static method in class cern.jet.random.tdouble.Beta: Returns a random number from the distribution.
staticNextDouble(double, double, double) - Static method in class cern.jet.random.tdouble.BreitWigner: Returns a random number from the distribution.
staticNextDouble(double, double, double) - Static method in class cern.jet.random.tdouble.BreitWignerMeanSquare: Returns a random number from the distribution.
staticNextDouble(double) - Static method in class cern.jet.random.tdouble.ChiSquare: Returns a random number from the distribution.
staticNextDouble() - Static method in class cern.jet.random.tdouble.DoubleUniform: Returns a uniformly distributed random number in the open interval (0,1) (excluding 0 and 1).
staticNextDouble(double) - Static method in class cern.jet.random.tdouble.Exponential: Returns a random number from the distribution with the given lambda.
staticNextDouble(double) - Static method in class cern.jet.random.tdouble.ExponentialPower: Returns a random number from the distribution.
staticNextDouble(double, double) - Static method in class cern.jet.random.tdouble.Gamma: Returns a random number from the distribution.
staticNextDouble(double, double) - Static method in class cern.jet.random.tdouble.Hyperbolic: Returns a random number from the distribution.
staticNextDouble(double) - Static method in class cern.jet.random.tdouble.Logarithmic: Returns a random number from the distribution.
staticNextDouble(double, double) - Static method in class cern.jet.random.tdouble.Normal: Returns a random number from the distribution with the given mean and standard deviation.
staticNextDouble(double) - Static method in class cern.jet.random.tdouble.StudentT: Returns a random number from the distribution.
staticNextDouble(double) - Static method in class cern.jet.random.tdouble.VonMises: Returns a random number from the distribution.
staticNextDoubleFromTo(double, double) - Static method in class cern.jet.random.tdouble.DoubleUniform: Returns a uniformly distributed random number in the open interval (from,to) (excluding from and to).
staticNextFloat() - Static method in class cern.jet.random.tfloat.FloatUniform: Returns a uniformly distributed random number in the open interval (0,1) (excluding 0 and 1).
staticNextFloatFromTo(float, float) - Static method in class cern.jet.random.tdouble.DoubleUniform: Returns a uniformly distributed random number in the open interval (from,to) (excluding from and to).
staticNextFloatFromTo(float, float) - Static method in class cern.jet.random.tfloat.FloatUniform: Returns a uniformly distributed random number in the open interval (from,to) (excluding from and to).
staticNextInt(int, double) - Static method in class cern.jet.random.tdouble.Binomial: Returns a random number from the distribution with the given parameters n and p.
staticNextInt(int, int, int) - Static method in class cern.jet.random.tdouble.HyperGeometric: Returns a random number from the distribution.
staticNextInt(int, double) - Static method in class cern.jet.random.tdouble.NegativeBinomial: Returns a random number from the distribution with the given parameters n and p.
staticNextInt(double) - Static method in class cern.jet.random.tdouble.Poisson: Returns a random number from the distribution with the given mean.
staticNextInt(double) - Static method in class cern.jet.random.tdouble.PoissonSlow: Returns a random number from the distribution with the given mean.
staticNextInt(double, double) - Static method in class cern.jet.random.tdouble.Zeta: Returns a random number from the distribution.
staticNextIntFromTo(int, int) - Static method in class cern.jet.random.tdouble.DoubleUniform: Returns a uniformly distributed random number in the closed interval [from,to] (including from and to).
staticNextIntFromTo(int, int) - Static method in class cern.jet.random.tfloat.FloatUniform: Returns a uniformly distributed random number in the closed interval [from,to] (including from and to).
staticNextLongFromTo(long, long) - Static method in class cern.jet.random.tdouble.DoubleUniform: Returns a uniformly distributed random number in the closed interval [from,to] (including from and to).
staticNextLongFromTo(long, long) - Static method in class cern.jet.random.tfloat.FloatUniform: Returns a uniformly distributed random number in the closed interval [from,to] (including from and to).
staticSetRandomEngine(DoubleRandomEngine) - Static method in class cern.jet.random.tdouble.DoubleUniform: Sets the uniform random number generation engine shared by all static methods.
staticSetRandomEngine(FloatRandomEngine) - Static method in class cern.jet.random.tfloat.FloatUniform: Sets the uniform random number generation engine shared by all static methods.
stdDev - Static variable in class hep.aida.tdouble.bin.DoubleBinFunctions1D: Function that returns bin.standardDeviation().
stdDev - Static variable in class hep.aida.tfloat.bin.FloatBinFunctions1D: Function that returns bin.standardDeviation().
stencil27(DoubleMatrix3D, Double27Function, int, DoubleMatrix3DProcedure, int) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStencil: 27 point stencil operation.
stencil27(FloatMatrix3D, Float27Function, int, FloatMatrix3DProcedure, int) - Static method in class cern.colt.matrix.tfloat.algo.FloatStencil: 27 point stencil operation.
stencil9(DoubleMatrix2D, Double9Function, int, DoubleMatrix2DProcedure, int) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStencil: 9 point stencil operation.
stencil9(FloatMatrix2D, Float9Function, int, FloatMatrix2DProcedure, int) - Static method in class cern.colt.matrix.tfloat.algo.FloatStencil: 9 point stencil operation.
steradian - Static variable in class cern.clhep.Units
stirlingCorrection(int) - Static method in class cern.jet.math.tdouble.DoubleArithmetic: Returns the StirlingCorrection.
stirlingCorrection(int) - Static method in class cern.jet.math.tfloat.FloatArithmetic: Returns the StirlingCorrection.
stop() - Method in class cern.colt.Timer: Stops the timer.
STP_Pressure - Static variable in class cern.clhep.PhysicalConstants
STP_Temperature - Static variable in class cern.clhep.PhysicalConstants
stride() - Method in class cern.colt.matrix.AbstractMatrix1D: Returns the stride.
StudentT - Class in cern.jet.random.tdouble: StudentT distribution (aka T-distribution); See the math definition and animated definition.
StudentT(double, DoubleRandomEngine) - Constructor for class cern.jet.random.tdouble.StudentT: Constructs a StudentT distribution.
studentT(double, double) - Static method in class cern.jet.stat.tdouble.Probability: Returns the integral from minus infinity to t of the Student-t distribution with k > 0 degrees of freedom.
studentTInverse(double, int) - Static method in class cern.jet.stat.tdouble.Probability: Returns the value, t, for which the area under the Student-t probability density function (integrated from minus infinity to t) is equal to 1-alpha/2.
subMatrix(DoubleMatrix2D, int[], int, int) - Method in class cern.colt.matrix.tdouble.algo.DenseDoubleAlgebra: Copies the columns of the indicated rows into a new sub matrix.
subMatrix(DoubleMatrix2D, int, int, int[]) - Method in class cern.colt.matrix.tdouble.algo.DenseDoubleAlgebra: Copies the rows of the indicated columns into a new sub matrix.
subMatrix(DoubleMatrix2D, int, int, int, int) - Method in class cern.colt.matrix.tdouble.algo.DenseDoubleAlgebra: Constructs and returns a new sub-range view which is the sub matrix A[fromRow..toRow,fromColumn..toColumn].
subMatrix(FloatMatrix2D, int[], int, int) - Method in class cern.colt.matrix.tfloat.algo.DenseFloatAlgebra: Copies the columns of the indicated rows into a new sub matrix.
subMatrix(FloatMatrix2D, int, int, int[]) - Method in class cern.colt.matrix.tfloat.algo.DenseFloatAlgebra: Copies the rows of the indicated columns into a new sub matrix.
subMatrix(FloatMatrix2D, int, int, int, int) - Method in class cern.colt.matrix.tfloat.algo.DenseFloatAlgebra: Constructs and returns a new sub-range view which is the sub matrix A[fromRow..toRow,fromColumn..toColumn].
submit(Callable<T>) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils: Submits a value-returning task for execution and returns a Future representing the pending results of the task.
submit(Runnable) - Static method in class edu.emory.mathcs.utils.ConcurrencyUtils: Submits a Runnable task for execution and returns a Future representing that task.
sum(DoubleArrayList) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sum of a data sequence.
sum(FloatArrayList) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sum of a data sequence.
sum() - Method in class hep.aida.tdouble.bin.AbstractDoubleBin1D: Returns the sum of all elements, which is Sum( x[i] ).
sum - Static variable in class hep.aida.tdouble.bin.DoubleBinFunctions1D: Function that returns bin.sum().
sum() - Method in class hep.aida.tdouble.bin.DynamicDoubleBin1D: Returns the sum of all elements, which is Sum( x[i] ).
sum() - Method in class hep.aida.tdouble.bin.StaticDoubleBin1D: Returns the sum of all elements, which is Sum( x[i] ).
sum() - Method in class hep.aida.tfloat.bin.AbstractFloatBin1D: Returns the sum of all elements, which is Sum( x[i] ).
sum() - Method in class hep.aida.tfloat.bin.DynamicFloatBin1D: Returns the sum of all elements, which is Sum( x[i] ).
sum - Static variable in class hep.aida.tfloat.bin.FloatBinFunctions1D: Function that returns bin.sum().
sum() - Method in class hep.aida.tfloat.bin.StaticFloatBin1D: Returns the sum of all elements, which is Sum( x[i] ).
sumAllBinHeights() - Method in interface hep.aida.tdouble.DoubleIHistogram: Sum of all (both in-range and under/overflow) bin heights in the histogram.
sumAllBinHeights() - Method in class hep.aida.tdouble.ref.DoubleHistogram2D
sumAllBinHeights() - Method in class hep.aida.tdouble.ref.DoubleHistogram3D
sumAllBinHeights() - Method in interface hep.aida.tfloat.FloatIHistogram: Sum of all (both in-range and under/overflow) bin heights in the histogram.
sumAllBinHeights() - Method in class hep.aida.tfloat.ref.FloatHistogram2D
sumAllBinHeights() - Method in class hep.aida.tfloat.ref.FloatHistogram3D
sumBinHeights() - Method in interface hep.aida.tdouble.DoubleIHistogram: Sum of in-range bin heights in the histogram.
sumBinHeights() - Method in interface hep.aida.tfloat.FloatIHistogram: Sum of in-range bin heights in the histogram.
sumExtraBinHeights() - Method in interface hep.aida.tdouble.DoubleIHistogram: Sum of under/overflow bin heights in the histogram.
sumExtraBinHeights() - Method in interface hep.aida.tfloat.FloatIHistogram: Sum of under/overflow bin heights in the histogram.
sumLog - Static variable in class hep.aida.tdouble.bin.DoubleBinFunctions1D: Function that returns bin.sumOfLogarithms().
sumLog - Static variable in class hep.aida.tfloat.bin.FloatBinFunctions1D: Function that returns bin.sumOfLogarithms().
sumOfInversions(DoubleArrayList, int, int) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sum of inversions of a data sequence, which is Sum( 1.0 / data[i]).
sumOfInversions(FloatArrayList, int, int) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sum of inversions of a data sequence, which is Sum( 1.0 / data[i]).
sumOfInversions() - Method in class hep.aida.tdouble.bin.DynamicDoubleBin1D: Returns the sum of inversions, which is Sum( 1 / x[i] ).
sumOfInversions() - Method in class hep.aida.tdouble.bin.MightyStaticDoubleBin1D: Returns the sum of inversions, which is Sum( 1 / x[i] ).
sumOfInversions() - Method in class hep.aida.tfloat.bin.DynamicFloatBin1D: Returns the sum of inversions, which is Sum( 1 / x[i] ).
sumOfInversions() - Method in class hep.aida.tfloat.bin.MightyStaticFloatBin1D: Returns the sum of inversions, which is Sum( 1 / x[i] ).
sumOfLogarithms(DoubleArrayList, int, int) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sum of logarithms of a data sequence, which is Sum( Log(data[i]).
sumOfLogarithms(FloatArrayList, int, int) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sum of logarithms of a data sequence, which is Sum( Log(data[i]).
sumOfLogarithms() - Method in class hep.aida.tdouble.bin.DynamicDoubleBin1D: Returns the sum of logarithms, which is Sum( Log(x[i]) ).
sumOfLogarithms() - Method in class hep.aida.tdouble.bin.MightyStaticDoubleBin1D: Returns the sum of logarithms, which is Sum( Log(x[i]) ).
sumOfLogarithms() - Method in class hep.aida.tfloat.bin.DynamicFloatBin1D: Returns the sum of logarithms, which is Sum( Log(x[i]) ).
sumOfLogarithms() - Method in class hep.aida.tfloat.bin.MightyStaticFloatBin1D: Returns the sum of logarithms, which is Sum( Log(x[i]) ).
sumOfPowerDeviations(DoubleArrayList, int, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns Sum( (data[i]-c)^k ); optimized for common parameters like c == 0.0 and/or k == -2 ..
sumOfPowerDeviations(DoubleArrayList, int, double, int, int) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns Sum( (data[i]-c)^k ) for all i = from ..
sumOfPowerDeviations(FloatArrayList, int, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns Sum( (data[i]-c)^k ); optimized for common parameters like c == 0.0 and/or k == -2 ..
sumOfPowerDeviations(FloatArrayList, int, float, int, int) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns Sum( (data[i]-c)^k ) for all i = from ..
sumOfPowers(DoubleArrayList, int) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sum of powers of a data sequence, which is Sum ( data[i]^k ).
sumOfPowers(FloatArrayList, int) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sum of powers of a data sequence, which is Sum ( data[i]^k ).
sumOfPowers(int) - Method in class hep.aida.tdouble.bin.DynamicDoubleBin1D: Returns the k-th order sum of powers, which is Sum( x[i]^k ).
sumOfPowers(int) - Method in class hep.aida.tdouble.bin.MightyStaticDoubleBin1D: Returns the k-th order sum of powers, which is Sum( x[i]^k ).
sumOfPowers(int) - Method in class hep.aida.tfloat.bin.DynamicFloatBin1D: Returns the k-th order sum of powers, which is Sum( x[i]^k ).
sumOfPowers(int) - Method in class hep.aida.tfloat.bin.MightyStaticFloatBin1D: Returns the k-th order sum of powers, which is Sum( x[i]^k ).
sumOfSquaredDeviations(int, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sum of squared mean deviation of of a data sequence.
sumOfSquaredDeviations(int, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sum of squared mean deviation of of a data sequence.
sumOfSquares(DoubleArrayList) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive: Returns the sum of squares of a data sequence.
sumOfSquares(FloatArrayList) - Static method in class cern.jet.stat.tfloat.FloatDescriptive: Returns the sum of squares of a data sequence.
sumOfSquares() - Method in class hep.aida.tdouble.bin.AbstractDoubleBin1D: Returns the sum of squares, which is Sum( x[i] * x[i] ).
sumOfSquares() - Method in class hep.aida.tdouble.bin.DynamicDoubleBin1D: Returns the sum of squares, which is Sum( x[i] * x[i] ).
sumOfSquares() - Method in class hep.aida.tdouble.bin.StaticDoubleBin1D: Returns the sum of squares, which is Sum( x[i] * x[i] ).
sumOfSquares() - Method in class hep.aida.tfloat.bin.AbstractFloatBin1D: Returns the sum of squares, which is Sum( x[i] * x[i] ).
sumOfSquares() - Method in class hep.aida.tfloat.bin.DynamicFloatBin1D: Returns the sum of squares, which is Sum( x[i] * x[i] ).
sumOfSquares() - Method in class hep.aida.tfloat.bin.StaticFloatBin1D: Returns the sum of squares, which is Sum( x[i] * x[i] ).
svd(DoubleMatrix2D) - Method in class cern.colt.matrix.tdouble.algo.DenseDoubleAlgebra: Constructs and returns the SingularValue-decomposition of the given matrix.
svd(FloatMatrix2D) - Method in class cern.colt.matrix.tfloat.algo.DenseFloatAlgebra: Constructs and returns the SingularValue-decomposition of the given matrix.
swap(DComplexMatrix1D) - Method in class cern.colt.matrix.tdcomplex.DComplexMatrix1D: Swaps each element this[i] with other[i].
swap(DComplexMatrix1D) - Method in class cern.colt.matrix.tdcomplex.impl.DenseDComplexMatrix1D
swap(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.DoubleMatrix1D: Swaps each element this[i] with other[i].
swap(DoubleMatrix1D) - Method in class cern.colt.matrix.tdouble.impl.DenseDoubleMatrix1D
swap(FComplexMatrix1D) - Method in class cern.colt.matrix.tfcomplex.FComplexMatrix1D: Swaps each element this[i] with other[i].
swap(FComplexMatrix1D) - Method in class cern.colt.matrix.tfcomplex.impl.DenseFComplexMatrix1D
swap(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.FloatMatrix1D: Swaps each element this[i] with other[i].
swap(FloatMatrix1D) - Method in class cern.colt.matrix.tfloat.impl.DenseFloatMatrix1D
swap(IntMatrix1D) - Method in class cern.colt.matrix.tint.impl.DenseIntMatrix1D
swap(IntMatrix1D) - Method in class cern.colt.matrix.tint.IntMatrix1D: Swaps each element this[i] with other[i].
swap(LongMatrix1D) - Method in class cern.colt.matrix.tlong.impl.DenseLongMatrix1D
swap(LongMatrix1D) - Method in class cern.colt.matrix.tlong.LongMatrix1D: Swaps each element this[i] with other[i].
swap(ObjectMatrix1D) - Method in class cern.colt.matrix.tobject.impl.DenseObjectMatrix1D: Swaps each element this[i] with other[i].
swap(ObjectMatrix1D) - Method in class cern.colt.matrix.tobject.ObjectMatrix1D: Swaps each element this[i] with other[i].
swap(int, int) - Method in interface cern.colt.Swapper: Swaps the generic data g[a] with g[b].
swapArgs(DComplexDComplexDComplexFunction) - Static method in class cern.jet.math.tdcomplex.DComplexFunctions
swapArgs(DoubleDoubleFunction) - Static method in class cern.jet.math.tdouble.DoubleFunctions: Constructs a function that returns function.apply(b,a), i.e.
swapArgs(FComplexFComplexFComplexFunction) - Static method in class cern.jet.math.tfcomplex.FComplexFunctions
swapArgs(FloatFloatFunction) - Static method in class cern.jet.math.tfloat.FloatFunctions: Constructs a function that returns function.apply(b,a), i.e.
swapArgs(IntIntFunction) - Static method in class cern.jet.math.tint.IntFunctions: Constructs a function that returns function.apply(b,a), i.e.
swapArgs(LongLongFunction) - Static method in class cern.jet.math.tlong.LongFunctions: Constructs a function that returns function.apply(b,a), i.e.
swappedElements - Static variable in class cern.colt.Partitioning
Swapper - Interface in cern.colt: Interface for an object that knows how to swap elements at two positions (a,b).

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