/*
* Copyright (C) 2008-2015 by Holger Arndt
*
* This file is part of the Universal Java Matrix Package (UJMP).
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership and licensing.
*
* UJMP is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* UJMP is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with UJMP; if not, write to the
* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
* Boston, MA 02110-1301 USA
*/
package org.ujmp.core.doublematrix.calculation.general.decomposition;
import org.ujmp.core.Matrix;
import org.ujmp.core.doublematrix.DenseDoubleMatrix2D;
import org.ujmp.core.util.DecompositionOps;
import org.ujmp.core.util.UJMPSettings;
public interface InvSymm<T> extends Inv<T> {
public static int THRESHOLD = 100;
public T calc(T source);
public static final InvSymm<Matrix> MATRIX = new InvSymm<Matrix>() {
public final Matrix calc(Matrix source) {
if (source.getDimensionCount() != 2 || source.getRowCount() != source.getColumnCount()) {
throw new RuntimeException(
"inverse only possible for square matrices. use pinv or ginv instead");
}
if (UJMPSettings.getInstance().getNumberOfThreads() == 1) {
if (source.getRowCount() >= THRESHOLD && source.getColumnCount() >= THRESHOLD) {
return MATRIXLARGESINGLETHREADED.calc(source);
} else {
return MATRIXSMALLSINGLETHREADED.calc(source);
}
} else {
if (source.getRowCount() >= THRESHOLD && source.getColumnCount() >= THRESHOLD) {
return MATRIXLARGEMULTITHREADED.calc(source);
} else {
return MATRIXSMALLMULTITHREADED.calc(source);
}
}
}
};
public final InvSymm<Matrix> UJMP = new InvSymm<Matrix>() {
public final Matrix calc(Matrix source) {
DenseDoubleMatrix2D b = DenseDoubleMatrix2D.Factory.zeros(source.getRowCount(),
source.getRowCount());
for (int i = (int) source.getRowCount(); --i >= 0;) {
b.setDouble(1.0, i, i);
}
return LU.INSTANCE.solve(source, b);
}
};
public final InvSymm<Matrix> INSTANCE = MATRIX;
public static final InvSymm<Matrix> MATRIXSMALLSINGLETHREADED = UJMP;
public static final InvSymm<Matrix> MATRIXLARGESINGLETHREADED = new InvSymm<Matrix>() {
public final Matrix calc(Matrix source) {
// no special implementation for symmetric matrices
Inv<Matrix> inv = null;
if (UJMPSettings.getInstance().isUseJBlas()) {
inv = DecompositionOps.INV_JBLAS;
}
if (inv == null && UJMPSettings.getInstance().isUseOjalgo()) {
inv = DecompositionOps.INV_OJALGO;
}
if (inv == null && UJMPSettings.getInstance().isUseEJML()) {
inv = DecompositionOps.INV_EJML;
}
if (inv == null && UJMPSettings.getInstance().isUseMTJ()) {
inv = DecompositionOps.INV_MTJ;
}
if (inv == null) {
inv = UJMP;
}
return inv.calc(source);
}
};
public static final InvSymm<Matrix> MATRIXLARGEMULTITHREADED = new InvSymm<Matrix>() {
public Matrix calc(Matrix source) {
// no special implementation for symmetric matrices
Inv<Matrix> inv = null;
if (UJMPSettings.getInstance().isUseJBlas()) {
inv = DecompositionOps.INV_JBLAS;
}
if (inv == null && UJMPSettings.getInstance().isUseOjalgo()) {
inv = DecompositionOps.INV_OJALGO;
}
if (inv == null && UJMPSettings.getInstance().isUseEJML()) {
inv = DecompositionOps.INV_EJML;
}
if (inv == null && UJMPSettings.getInstance().isUseMTJ()) {
inv = DecompositionOps.INV_MTJ;
}
if (inv == null) {
inv = UJMP;
}
return inv.calc(source);
}
};
public static final InvSymm<Matrix> MATRIXSMALLMULTITHREADED = UJMP;
}