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A fast and easy to use dense and sparse matrix linear algebra library written in Java.
/*
* Copyright (c) 2020, 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;
import org.ejml.data.ReshapeMatrix;
import org.ejml.interfaces.decomposition.DecompositionInterface;
import org.ejml.interfaces.linsol.LinearSolverDense;
import org.jetbrains.annotations.Nullable;
/**
* Ensures that any linear solver it is wrapped around will never modify
* the input matrices.
*
* @author Peter Abeles
*/
public class LinearSolverSafe implements LinearSolverDense {
// the solver it is wrapped around
private final LinearSolverDense alg;
// local copies of input matrices that can be modified.
private @Nullable T A;
private @Nullable T B;
/**
* @param alg The solver it is wrapped around.
*/
public LinearSolverSafe( LinearSolverDense alg ) {
this.alg = alg;
}
@Override
public boolean setA( T A ) {
if (alg.modifiesA()) {
this.A = UtilEjml.reshapeOrDeclare(this.A, A);
this.A.setTo(A);
return alg.setA(this.A);
}
return alg.setA(A);
}
@Override
public /**/double quality() {
return alg.quality();
}
@Override
public void solve( T B, T X ) {
if (alg.modifiesB()) {
this.B = UtilEjml.reshapeOrDeclare(this.B, B);
this.B.setTo(B);
B = this.B;
}
alg.solve(B, X);
}
@Override
public void invert( T A_inv ) {
alg.invert(A_inv);
}
@Override
public boolean modifiesA() {
return false;
}
@Override
public boolean modifiesB() {
return false;
}
@Override
public D getDecomposition() {
return alg.getDecomposition();
}
}