org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM Maven / Gradle / Ivy
/*
* Copyright (c) 2009-2017, 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.dense.row.linsol;
import org.ejml.data.DMatrixRMaj;
import org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM;
import org.ejml.interfaces.decomposition.DecompositionInterface;
import org.ejml.interfaces.linsol.LinearSolverDense;
/**
* Solver which uses an unrolled inverse to compute the inverse. This can only invert matrices and not solve.
* This is faster than LU inverse but only supports small matrices..
*
* @author Peter Abeles
*/
public class LinearSolverUnrolled_DDRM implements LinearSolverDense {
DMatrixRMaj A;
@Override
public boolean setA(DMatrixRMaj A) {
if( A.numRows != A.numCols)
return false;
this.A = A;
return A.numRows <= UnrolledInverseFromMinor_DDRM.MAX;
}
@Override
public /**/double quality() {
throw new IllegalArgumentException("Not supported by this solver.");
}
@Override
public void solve(DMatrixRMaj B, DMatrixRMaj X) {
throw new RuntimeException("Not supported");
}
@Override
public void invert(DMatrixRMaj A_inv) {
if( A.numRows == 1 )
A_inv.set(0, 1.0/A.get(0));
UnrolledInverseFromMinor_DDRM.inv(A,A_inv);
}
@Override
public boolean modifiesA() {
return false;
}
@Override
public boolean modifiesB() {
return false;
}
@Override
public D getDecomposition() {
return null;
}
}