/*******************************************************************************
* Copyright 2012 Analog Devices, Inc.
*
* 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 com.analog.lyric.dimple.factorfunctions;
import com.analog.lyric.dimple.factorfunctions.core.FactorFunction;
import com.analog.lyric.dimple.model.values.Value;
/**
* Deterministic complex division. This is a deterministic directed factor (if smoothing is
* not enabled).
*
* Optional smoothing may be applied, by providing a smoothing value in the
* constructor. If smoothing is enabled, the distribution is smoothed by
* exp(-difference^2/smoothing), where difference is the distance between the
* output value and the deterministic output value for the corresponding inputs.
*
* The variables are ordered as follows in the argument list:
*
* 1) Output (quotient = dividend / divisor)
* 2) Dividend
* 3) Divisor
*
*/
public class ComplexDivide extends FactorFunction
{
protected double _beta = 0;
protected boolean _smoothingSpecified = false;
public ComplexDivide() {this(0);}
public ComplexDivide(double smoothing)
{
super();
if (smoothing > 0)
{
_beta = 1 / smoothing;
_smoothingSpecified = true;
}
}
@Override
public final double evalEnergy(Value[] arguments)
{
final double[] quotient = arguments[0].getDoubleArray();
final double rQuotient = quotient[0];
final double iQuotient = quotient[1];
double rDividend = 0;
double iDividend = 0;
final Value argdd = arguments[1];
if (argdd.getObject() instanceof double[]) // Complex dividend
{
final double[] dividend = argdd.getDoubleArray();
rDividend = dividend[0];
iDividend = dividend[1];
}
else // Real dividend
rDividend = argdd.getDouble();
double rDivisor = 0;
double iDivisor = 0;
final Value argdr = arguments[2];
if (argdr.getObject() instanceof double[]) // Complex divisor
{
final double[] divisor = argdr.getDoubleArray();
rDivisor = divisor[0];
iDivisor = divisor[1];
}
else // Real divisor
rDivisor = argdr.getDouble();
final double normalizer = 1 / (rDivisor*rDivisor + iDivisor*iDivisor);
if (Double.isNaN(normalizer))
return Double.POSITIVE_INFINITY;
if (Double.isInfinite(normalizer))
return Double.POSITIVE_INFINITY;
final double rExpectedQuotient = (rDividend * rDivisor + iDividend * iDivisor) * normalizer;
final double iExpectedQuotient = (iDividend * rDivisor - rDividend * iDivisor) * normalizer;
if (_smoothingSpecified)
{
final double rDiff = rExpectedQuotient - rQuotient;
final double iDiff = iExpectedQuotient - iQuotient;
final double potential = rDiff*rDiff + iDiff*iDiff;
return potential*_beta;
}
else
{
return (rExpectedQuotient == rQuotient && iExpectedQuotient == iQuotient) ? 0 : Double.POSITIVE_INFINITY;
}
}
@Override
public final boolean isDirected() {return true;}
@Override
public final int[] getDirectedToIndices() {return new int[]{0};}
@Override
public final boolean isDeterministicDirected() {return !_smoothingSpecified;}
@Override
public final void evalDeterministic(Value[] arguments)
{
double rDividend = 0;
double iDividend = 0;
final Value argdd = arguments[1];
if (argdd.getObject() instanceof double[]) // Complex dividend
{
final double[] dividend = argdd.getDoubleArray();
rDividend = dividend[0];
iDividend = dividend[1];
}
else // Real dividend
rDividend = argdd.getDouble();
double rDivisor = 0;
double iDivisor = 0;
final Value argdr = arguments[2];
if (argdr.getObject() instanceof double[]) // Complex divisor
{
final double[] divisor = argdr.getDoubleArray();
rDivisor = divisor[0];
iDivisor = divisor[1];
}
else // Real divisor
rDivisor = argdr.getDouble();
final double normalizer = 1 / (rDivisor*rDivisor + iDivisor*iDivisor);
double rQuotient = (rDividend * rDivisor + iDividend * iDivisor) * normalizer;
double iQuotient = (iDividend * rDivisor - rDividend * iDivisor) * normalizer;
if (Double.isNaN(normalizer))
{
rQuotient = 0;
iQuotient = 0;
}
final double[] out = arguments[0].getDoubleArray();
out[0] = rQuotient; // Replace the output value
out[1] = iQuotient; // Replace the output value
}
}