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A fast and easy to use dense and sparse matrix linear algebra library written in Java.
/*
* Copyright (c) 2009-2017, Peter Abeles. All Rights Reserved.
*
* This file is part of Efficient Java Matrix Library (EJML).
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.ejml.data;
import org.ejml.EjmlParameters;
import org.ejml.ops.MatrixIO;
/**
* A row-major block matrix declared on to one continuous array.
*
* @author Peter Abeles
*/
public class DMatrixRBlock extends DMatrixD1 {
public int blockLength;
public DMatrixRBlock(int numRows , int numCols , int blockLength)
{
this.data = new double[ numRows * numCols ];
this.blockLength = blockLength;
this.numRows = numRows;
this.numCols = numCols;
}
public DMatrixRBlock(int numRows , int numCols )
{
this(numRows,numCols, EjmlParameters.BLOCK_WIDTH);
}
public DMatrixRBlock(){}
public void set( DMatrixRBlock A ) {
this.blockLength = A.blockLength;
this.numRows = A.numRows;
this.numCols = A.numCols;
int N = numCols*numRows;
if( data.length < N )
data = new double[ N ];
System.arraycopy(A.data,0,data,0,N);
}
public static DMatrixRBlock wrap(double data[] , int numRows , int numCols , int blockLength )
{
DMatrixRBlock ret = new DMatrixRBlock();
ret.data = data;
ret.numRows = numRows;
ret.numCols = numCols;
ret.blockLength = blockLength;
return ret;
}
@Override
public double[] getData() {
return data;
}
@Override
public void reshape(int numRows, int numCols, boolean saveValues)
{
if( numRows*numCols <= data.length ) {
this.numRows = numRows;
this.numCols = numCols;
} else {
double[] data = new double[ numRows*numCols ];
if( saveValues ) {
System.arraycopy(this.data,0,data,0,getNumElements());
}
this.numRows = numRows;
this.numCols = numCols;
this.data = data;
}
}
public void reshape(int numRows, int numCols, int blockLength , boolean saveValues) {
this.blockLength = blockLength;
this.reshape(numRows,numCols,saveValues);
}
@Override
public int getIndex( int row, int col ) {
// find the block it is inside
int blockRow = row / blockLength;
int blockCol = col / blockLength;
int localHeight = Math.min(numRows - blockRow*blockLength , blockLength);
int index = blockRow*blockLength*numCols + blockCol* localHeight * blockLength;
int localLength = Math.min(numCols - blockLength*blockCol , blockLength);
row = row % blockLength;
col = col % blockLength;
return index + localLength * row + col;
}
@Override
public double get( int row, int col) {
return data[ getIndex(row,col)];
}
@Override
public double unsafe_get( int row, int col) {
return data[ getIndex(row,col)];
}
@Override
public void set( int row, int col, double val) {
data[ getIndex(row,col)] = val;
}
@Override
public void unsafe_set( int row, int col, double val) {
data[ getIndex(row,col)] = val;
}
@Override
public int getNumRows() {
return numRows;
}
@Override
public int getNumCols() {
return numCols;
}
@Override
public T createLike() {
return (T)new DMatrixRBlock(numRows,numCols);
}
@Override
public void set(Matrix original) {
if( original instanceof DMatrixRBlock) {
set((DMatrixRBlock)original);
} else {
DMatrix m = (DMatrix) original;
for (int i = 0; i < numRows; i++) {
for (int j = 0; j < numCols; j++) {
set(i, j, m.get(i, j));
}
}
}
}
@Override
public int getNumElements() {
return numRows*numCols;
}
@Override
public void print() {
MatrixIO.print(System.out,this);
}
public DMatrixRBlock copy() {
DMatrixRBlock A = new DMatrixRBlock(numRows,numCols,blockLength);
A.set(this);
return A;
}
@Override
public MatrixType getType() {
return MatrixType.UNSPECIFIED;
}
}