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A fast and easy to use dense and sparse matrix linear algebra library written in Java.
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/*
* 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.Matrix;
import org.ejml.interfaces.decomposition.DecompositionInterface;
import org.ejml.interfaces.linsol.LinearSolverDense;
import org.ejml.interfaces.linsol.LinearSolverSparse;
/**
* Wrapper which allows a regular linear solver to act like a sparse solver
*
* @author Peter Abeles
*/
public class LinearSolverToSparse
implements LinearSolverSparse {
LinearSolverDense solver;
// locking the structure has no meaning, but need to meet the contract
boolean locked = false;
public LinearSolverToSparse( LinearSolverDense solver ) {
this.solver = solver;
}
@Override
public void solveSparse( D B, D X ) {
solver.solve(B, X);
}
@Override
public void setStructureLocked( boolean locked ) {
this.locked = locked;
}
@Override
public boolean isStructureLocked() {
return locked;
}
@Override
public boolean setA( D A ) {
return solver.setA(A);
}
@Override
public double quality() {
return solver.quality();
}
@Override
public void solve( D B, D X ) {
solver.solve(B, X);
}
@Override
public boolean modifiesA() {
return solver.modifiesA();
}
@Override
public boolean modifiesB() {
return solver.modifiesB();
}
@Override
public D1 getDecomposition() {
return solver.getDecomposition();
}
}