Uses of Class
cern.colt.matrix.Norm

Packages that use Norm

cern.colt.matrix	Matrix interfaces and factories; efficient and flexible dense and sparse 1, 2, 3-dimensional matrices holding objects or primitive data types such as int, double, etc; Templated, fixed sized (not dynamically resizable); Also known as multi-dimensional arrays or Data Cubes.
cern.colt.matrix.tdouble.algo	Linear Algebraic matrix computations operating on DoubleMatrix2D and DoubleMatrix1D.
cern.colt.matrix.tdouble.algo.solver	Iterative solvers BiCG - BiConjugate gradients. BiCGstab - BiConjugate gradients stabilized. CG - Conjugate gradients. CGS - Conjugate gradients squared. Chebyshev - The Chebyshev iteration for symmetrical, positive definite matrices. GMRES - Generalized minimal residual using restart. IR - Iterative refinement (Richardson's method). QMR - Quasi-minimal residual. HyBR - Hybrid Bidiagonalization Regularization. MRNSD - Modified Residual Norm Steepest Descent. CGLS - Conjugate Gradient for Least Squares.
cern.colt.matrix.tfloat.algo	Linear Algebraic matrix computations operating on FloatMatrix2D and FloatMatrix1D.
cern.colt.matrix.tfloat.algo.solver	Iterative solvers BiCG - BiConjugate gradients. BiCGstab - BiConjugate gradients stabilized. CG - Conjugate gradients. CGS - Conjugate gradients squared. Chebyshev - The Chebyshev iteration for symmetrical, positive definite matrices. GMRES - Generalized minimal residual using restart. IR - Iterative refinement (Richardson's method). QMR - Quasi-minimal residual. HyBR - Hybrid Bidiagonalization Regularization. MRNSD - Modified Residual Norm Steepest Descent. CGLS - Conjugate Gradient for Least Squares.

Uses of Norm in cern.colt.matrix

Methods in cern.colt.matrix that return Norm

static Norm	Norm.valueOf(String name) Returns the enum constant of this type with the specified name.
static Norm[]	Norm.values() Returns an array containing the constants of this enum type, in the order they are declared.

Uses of Norm in cern.colt.matrix.tdouble.algo

Methods in cern.colt.matrix.tdouble.algo with parameters of type Norm

double	DenseDoubleAlgebra.norm(DoubleMatrix1D x, Norm type)
double	DenseDoubleAlgebra.norm(DoubleMatrix2D A, Norm type)

Uses of Norm in cern.colt.matrix.tdouble.algo.solver

Methods in cern.colt.matrix.tdouble.algo.solver that return Norm

Norm	DoubleIterationMonitor.getNormType() Returns the vector-norm in use
Norm	AbstractDoubleIterationMonitor.getNormType()

Methods in cern.colt.matrix.tdouble.algo.solver with parameters of type Norm

void	DoubleIterationMonitor.setNormType(Norm normType) Sets the vector-norm to calculate with
void	AbstractDoubleIterationMonitor.setNormType(Norm normType)

Uses of Norm in cern.colt.matrix.tfloat.algo

Methods in cern.colt.matrix.tfloat.algo with parameters of type Norm

float	DenseFloatAlgebra.norm(FloatMatrix1D x, Norm type)
float	DenseFloatAlgebra.norm(FloatMatrix2D A, Norm type)

Uses of Norm in cern.colt.matrix.tfloat.algo.solver

Methods in cern.colt.matrix.tfloat.algo.solver that return Norm

Norm	FloatIterationMonitor.getNormType() Returns the vector-norm in use
Norm	AbstractFloatIterationMonitor.getNormType()

Methods in cern.colt.matrix.tfloat.algo.solver with parameters of type Norm

void	FloatIterationMonitor.setNormType(Norm normType) Sets the vector-norm to calculate with
void	AbstractFloatIterationMonitor.setNormType(Norm normType)