
com.metsci.glimpse.util.math.stochastic.pdfcont.PdfContGaussianBoxMuller Maven / Gradle / Ivy
The newest version!
/*
* Copyright (c) 2020, Metron, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of Metron, Inc. nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL METRON, INC. BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package com.metsci.glimpse.util.math.stochastic.pdfcont;
import static com.metsci.glimpse.util.GeneralUtils.doublesEqual;
import com.metsci.glimpse.util.math.stochastic.Generator;
/**
* @author osborn
*/
public class PdfContGaussianBoxMuller implements PdfCont
{
private final double _mean;
private final double _stdev;
public PdfContGaussianBoxMuller( double mean, double stdev )
{
_mean = mean;
_stdev = stdev;
}
@Override
public double draw( Generator g )
{
double v1, v2, s;
do
{
v1 = 2 * g.nextDouble( ) - 1; // between -1.0 and 1.0
v2 = 2 * g.nextDouble( ) - 1; // between -1.0 and 1.0
s = v1 * v1 + v2 * v2;
}
while ( s >= 1 );
double norm = Math.sqrt( -2 * Math.log( s ) / s );
return _mean + _stdev * v1 * norm;
}
@Override
public int hashCode( )
{
final int prime = 20509;
int result = 1;
result = prime * result + Double.hashCode( _mean );
result = prime * result + Double.hashCode( _stdev );
return result;
}
@Override
public boolean equals( Object o )
{
if ( o == this ) return true;
if ( o == null ) return false;
if ( o.getClass( ) != this.getClass( ) ) return false;
PdfContGaussianBoxMuller other = ( PdfContGaussianBoxMuller ) o;
return ( doublesEqual( other._mean, _mean )
&& doublesEqual( other._stdev, _stdev ) );
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy