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java.lang.Objectcern.colt.PersistentObject
cern.colt.matrix.AbstractMatrix
cern.colt.matrix.AbstractMatrix2D
cern.colt.matrix.tint.IntMatrix2D
cern.colt.matrix.tint.impl.WrapperIntMatrix2D
cern.colt.matrix.tint.impl.SparseCCMIntMatrix2D
public class SparseCCMIntMatrix2D
Sparse column-compressed-modified 2-d matrix holding int elements. Each column is stored as SparseIntMatrix1D.
Constructor Summary | |
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SparseCCMIntMatrix2D(int rows,
int columns)
Constructs a matrix with a given number of rows and columns. |
Method Summary | |
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SparseIntMatrix1D[] |
elements()
Returns the elements of this matrix. |
int |
getQuick(int row,
int column)
Returns the matrix cell value at coordinate [row,column]. |
IntMatrix2D |
like(int rows,
int columns)
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns. |
void |
setQuick(int row,
int column,
int value)
Sets the matrix cell at coordinate [row,column] to the specified value. |
void |
trimToSize()
Releases any superfluous internal memory. |
SparseIntMatrix1D |
viewColumn(int column)
Constructs and returns a new slice view representing the rows of the given column. |
Methods inherited from class cern.colt.matrix.tint.impl.WrapperIntMatrix2D |
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assign, assign, equals, equals, like1D, vectorize, viewColumnFlip, viewDice, viewPart, viewRow, viewRowFlip, viewSelection, viewStrides |
Methods inherited from class cern.colt.matrix.tint.IntMatrix2D |
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aggregate, aggregate, aggregate, aggregate, assign, assign, assign, assign, assign, assign, assign, cardinality, copy, forEachNonZero, get, getMaxLocation, getMinLocation, getNegativeValues, getNonZeros, getPositiveValues, like, set, toArray, toString, viewSelection, viewSelection, viewSorted, zMult, zMult, zMult, zMult, zSum |
Methods inherited from class cern.colt.matrix.AbstractMatrix2D |
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checkShape, checkShape, columns, columnStride, index, rows, rowStride, size, toStringShort |
Methods inherited from class cern.colt.matrix.AbstractMatrix |
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ensureCapacity, isView |
Methods inherited from class cern.colt.PersistentObject |
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clone |
Methods inherited from class java.lang.Object |
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getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public SparseCCMIntMatrix2D(int rows, int columns)
rows
- the number of rows the matrix shall have.columns
- the number of columns the matrix shall have.
IllegalArgumentException
- if
rows<0 || columns<0 || (double)columns*rows > Integer.MAX_VALUE
.Method Detail |
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public SparseIntMatrix1D[] elements()
IntMatrix2D
elements
in class WrapperIntMatrix2D
public int getQuick(int row, int column)
IntMatrix2D
Provided with invalid parameters this method may return invalid objects without throwing any exception. You should only use this method when you are absolutely sure that the coordinate is within bounds. Precondition (unchecked): 0 <= column < columns() && 0 <= row < rows().
getQuick
in class WrapperIntMatrix2D
row
- the index of the row-coordinate.column
- the index of the column-coordinate.
public void setQuick(int row, int column, int value)
IntMatrix2D
Provided with invalid parameters this method may access illegal indexes without throwing any exception. You should only use this method when you are absolutely sure that the coordinate is within bounds. Precondition (unchecked): 0 <= column < columns() && 0 <= row < rows().
setQuick
in class WrapperIntMatrix2D
row
- the index of the row-coordinate.column
- the index of the column-coordinate.value
- the value to be filled into the specified cell.public void trimToSize()
AbstractMatrix
This default implementation does nothing. Override this method if necessary.
trimToSize
in class AbstractMatrix
public SparseIntMatrix1D viewColumn(int column)
IntMatrix2D
Example:
2 x 3 matrix: 1, 2, 3 4, 5, 6 |
viewColumn(0) ==> | Matrix1D of size 2: 1, 4 |
viewColumn
in class WrapperIntMatrix2D
column
- the column to fix.
IntMatrix2D.viewRow(int)
public IntMatrix2D like(int rows, int columns)
IntMatrix2D
like
in class WrapperIntMatrix2D
rows
- the number of rows the matrix shall have.columns
- the number of columns the matrix shall have.
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