org.ejml.interfaces.linsol.LinearSolverSparse Maven / Gradle / Ivy
/*
* Copyright (c) 2009-2018, 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.interfaces.linsol;
import org.ejml.data.Matrix;
/**
* @author Peter Abeles
*/
// Ideas. Base linear solver will have two inputs
// Matrix type specific solvers, e.g. LinearSolver_DDRM implements LinearSolverDense
// have sparse solver extend LinearSolverDense but add functions to it
public interface LinearSolverSparse extends LinearSolver {
/**
* Solve against sparse matrices. A*X=B. In most situations its more desirable to solve against
* a dense matrix because of fill in.
* @param B Input. Never modified.
* @param X Output. Never modified.
*/
void solveSparse(S B, S X);
/**
* Save results from structural analysis step. This can reduce computations of a matrix with the exactly same
* non-zero pattern is decomposed in the future. If a matrix has yet to be processed then the structure of
* the next matrix is saved. If a matrix has already been processed then the structure of the most recently
* processed matrix will be saved.
*/
void setStructureLocked( boolean locked );
/**
* Checks to see if the structure is locked.
* @return true if locked or false if not locked.
*/
boolean isStructureLocked();
}