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A fast and easy to use dense matrix linear algebra library written in Java.
/*
* Copyright (c) 2009-2012, Peter Abeles. All Rights Reserved.
*
* This file is part of Efficient Java Matrix Library (EJML).
*
* EJML is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation, either version 3
* of the License, or (at your option) any later version.
*
* EJML is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with EJML. If not, see .
*/
package org.ejml.alg.dense.decomposition.chol;
import org.ejml.EjmlParameters;
import org.ejml.alg.block.BlockMatrixOps;
import org.ejml.alg.block.decomposition.chol.BlockCholeskyOuterForm;
import org.ejml.alg.dense.decomposition.BaseDecompositionBlock64;
import org.ejml.data.BlockMatrix64F;
import org.ejml.data.DenseMatrix64F;
import org.ejml.factory.CholeskyDecomposition;
/**
* Wrapper around {@link org.ejml.alg.block.decomposition.chol.BlockCholeskyOuterForm} that allows
* it to process DenseMatrix64F.
*
* @author Peter Abeles
*/
public class CholeskyDecompositionBlock64
extends BaseDecompositionBlock64 implements CholeskyDecomposition {
public CholeskyDecompositionBlock64( boolean lower ) {
super(new BlockCholeskyOuterForm(lower), EjmlParameters.BLOCK_WIDTH);
}
@Override
public boolean isLower() {
return ((BlockCholeskyOuterForm)alg).isLower();
}
@Override
public DenseMatrix64F getT(DenseMatrix64F T) {
BlockMatrix64F T_block = ((BlockCholeskyOuterForm)alg).getT(null);
if( T == null ) {
T = new DenseMatrix64F(T_block.numRows,T_block.numCols);
}
BlockMatrixOps.convert(T_block,T);
// todo set zeros
return T;
}
}