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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: NormalVariateGenerator.cxx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif
// Software Guide : BeginLatex
//
// \index{itk::Statistics::NormalVariateGenerator}
// \index{Statistics!Random number generation!Normal (Gaussian) distribution}
//
// The \subdoxygen{Statistics}{NormalVariateGenerator} generates random
// variables according to the standard normal distribution (mean = 0,
// standard deviation = 1).
//
// To use the class in a project, we must link the \code{itkStatistics}
// library to the project.
//
// To begin the example we include the header file for the class.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
#include "itkNormalVariateGenerator.h"
// Software Guide : EndCodeSnippet
int main()
{
// Software Guide : BeginLatex
//
// The NormalVariateGenerator is a non-templated class. We simply call
// the \code{New()} method to create an instance. Then, we provide the seed
// value using the \code{Initialize(seed value)}.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef itk::Statistics::NormalVariateGenerator GeneratorType;
GeneratorType::Pointer generator = GeneratorType::New();
generator->Initialize( (int) 2003 );
for ( unsigned int i = 0 ; i < 50 ; ++i )
{
std::cout << i << " : \t" << generator->GetVariate() << std::endl;
}
// Software Guide : EndCodeSnippet
return 0;
}
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