CSingularValue.java
/*
* @cond LICENSE
* ######################################################################################
* # LGPL License #
* # #
* # This file is part of the LightJason AgentSpeak(L++) #
* # Copyright (c) 2015-19, LightJason (info@lightjason.org) #
* # This program 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 3 of the #
* # License, or (at your option) any later version. #
* # #
* # This program 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 this program. If not, see http://www.gnu.org/licenses/ #
* ######################################################################################
* @endcond
*/
package org.lightjason.agentspeak.action.builtin.math.blas.matrix;
import cern.colt.matrix.tdouble.DoubleMatrix2D;
import cern.colt.matrix.tdouble.algo.decomposition.DenseDoubleSingularValueDecomposition;
import cern.colt.matrix.tdouble.impl.DenseDoubleMatrix1D;
import org.lightjason.agentspeak.action.builtin.IBuiltinAction;
import org.lightjason.agentspeak.language.CCommon;
import org.lightjason.agentspeak.language.CRawTerm;
import org.lightjason.agentspeak.language.ITerm;
import org.lightjason.agentspeak.language.execution.IContext;
import org.lightjason.agentspeak.language.fuzzy.CFuzzyValue;
import org.lightjason.agentspeak.language.fuzzy.IFuzzyValue;
import javax.annotation.Nonnegative;
import javax.annotation.Nonnull;
import java.util.List;
/**
* creates the singular value decomposition of a matrix.
* For each input matrix the singular value decompisition is
* called and the values, and the two matrixes (left / right)
* are returned, the action never fails
*
* {@code [Values1|U1|V1|Values2|U2|V2] = blas/matrix/singularvalue(Matrix1, Matrix2);}
* @see https://en.wikipedia.org/wiki/Singular_value_decomposition
*/
public final class CSingularValue extends IBuiltinAction
{
/**
* serial id
*/
private static final long serialVersionUID = 3316611747769800455L;
/**
* ctor
*/
public CSingularValue()
{
super( 4 );
}
@Nonnegative
@Override
public final int minimalArgumentNumber()
{
return 1;
}
@Nonnull
@Override
public final IFuzzyValue<Boolean> execute( final boolean p_parallel, @Nonnull final IContext p_context,
@Nonnull final List<ITerm> p_argument, @Nonnull final List<ITerm> p_return )
{
CCommon.flatten( p_argument )
.map( ITerm::<DoubleMatrix2D>raw )
.map( i -> new DenseDoubleSingularValueDecomposition( i, true, false ) )
.forEach( i ->
{
p_return.add( CRawTerm.from( new DenseDoubleMatrix1D( i.getSingularValues() ) ) );
p_return.add( CRawTerm.from( i.getU() ) );
p_return.add( CRawTerm.from( i.getV() ) );
} );
return CFuzzyValue.from( true );
}
}