ITK  5.2.0
Insight Toolkit
SphinxExamples/src/Numerics/Optimizers/LevenbergMarquardtOptimization/Code.cxx
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* Copyright NumFOCUS
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* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
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// Include the Levenberg-Marquardt optimizer and a custom cost function
#include "itkExampleCostFunction.h"
// Typedef the optimizer and cost function, for convenience
using OptimizerType = itk::LevenbergMarquardtOptimizer;
using CostType = itk::ExampleCostFunction;
int
main(int, char *[])
{
// Instantiate the cost function and optimizer
CostType::Pointer cost = CostType::New();
OptimizerType::Pointer optimizer = OptimizerType::New();
optimizer->SetNumberOfIterations(100);
optimizer->UseCostFunctionGradientOff();
optimizer->SetCostFunction(cost.GetPointer());
// This is the initial guess for the parameter values, which we set to one
CostType::ParametersType p(cost->GetNumberOfParameters());
p.Fill(1);
optimizer->SetInitialPosition(p);
optimizer->StartOptimization();
// Print out some information about the optimization
// The parameters come out to be near to, but not exactly [5.5, 0.5]
std::cout << "Position: " << optimizer->GetCurrentPosition() << std::endl;
std::cout << "Value: " << optimizer->GetValue() << std::endl;
return EXIT_SUCCESS;
}
itkLevenbergMarquardtOptimizer.h
itk::LevenbergMarquardtOptimizer
Wrap of the vnl_levenberg_marquardt algorithm.
Definition: itkLevenbergMarquardtOptimizer.h:37