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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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.txt
*
* 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.
*
*=========================================================================*/
// 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 EXIT_SUCCESS;
}
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