org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM Maven / Gradle / Ivy
/*
* 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.dense.row.decomposition.svd;
import org.ejml.data.DMatrixRMaj;
import org.ejml.interfaces.decomposition.SingularValueDecomposition;
import org.ejml.interfaces.decomposition.SingularValueDecomposition_F64;
/**
* Wraps around a {@link SingularValueDecomposition} and ensures that the input is not modified.
*
* @author Peter Abeles
*/
public class SafeSvd_DDRM
implements SingularValueDecomposition_F64
{
// the decomposition algorithm
SingularValueDecomposition_F64 alg;
// storage for the input if it would be modified
DMatrixRMaj work = new DMatrixRMaj(1,1);
public SafeSvd_DDRM(SingularValueDecomposition_F64 alg) {
this.alg = alg;
}
@Override
public double[] getSingularValues() {
return alg.getSingularValues();
}
@Override
public int numberOfSingularValues() {
return alg.numberOfSingularValues();
}
@Override
public boolean isCompact() {
return alg.isCompact();
}
@Override
public DMatrixRMaj getU(DMatrixRMaj U, boolean transposed) {
return alg.getU(U,transposed);
}
@Override
public DMatrixRMaj getV(DMatrixRMaj V, boolean transposed) {
return alg.getV(V,transposed);
}
@Override
public DMatrixRMaj getW(DMatrixRMaj W) {
return alg.getW(W);
}
@Override
public int numRows() {
return alg.numRows();
}
@Override
public int numCols() {
return alg.numCols();
}
@Override
public boolean decompose(DMatrixRMaj orig) {
if( alg.inputModified() ) {
work.reshape(orig.numRows,orig.numCols);
work.set(orig);
return alg.decompose(work);
} else {
return alg.decompose(orig);
}
}
@Override
public boolean inputModified() {
return false;
}
}