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A fast and easy to use dense and sparse matrix linear algebra library written in Java.

There is a newer version: 0.43.1

/*
 * 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();
    }
}