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A 100% Java sparse and dense matrix library.
/*
* Copyright 2011-2013, by Vladimir Kostyukov and Contributors.
*
* This file is part of la4j project (http://la4j.org)
*
* 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.
*
* Contributor(s): -
*
*/
package org.la4j.linear;
import org.la4j.matrix.Matrix;
import org.la4j.vector.Vector;
public abstract class AbstractSolver implements LinearSystemSolver {
// TODO: rename a to matrix
protected Matrix a;
protected int unknowns;
protected int equations;
protected AbstractSolver(Matrix a) {
if (!applicableTo(a)) {
fail("Given coefficient matrix can not be used with this solver.");
}
this.a = a;
this.unknowns = a.columns();
this.equations = a.rows();
}
@Override
public Vector solve(Vector b) {
return solve(b, b.factory());
}
@Override
public Matrix self() {
return a;
}
@Override
public int unknowns() {
return unknowns;
}
@Override
public int equations() {
return equations;
}
protected void ensureRHSIsCorrect(Vector vector) {
if (vector.length() != equations) {
fail("Wrong length of RHS vector: " + vector.length() + ".");
}
}
protected void fail(String message) {
throw new IllegalArgumentException(message);
}
}