#include <mia/core/gsl_multimin.hh>
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static void | df (const gsl_vector *x, void *params, gsl_vector *g) |
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static double | f (const gsl_vector *x, void *params) |
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static void | fdf (const gsl_vector *x, void *params, double *f, gsl_vector *g) |
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This is the base class for all optimization problems that provide gradient information for optimization.
Definition at line 40 of file gsl_multimin.hh.
◆ Problem()
gsl::CFDFMinimizer::Problem::Problem |
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size_t |
n_params | ) |
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Initialize the optimization problem with the given number of parameters
◆ df()
static void gsl::CFDFMinimizer::Problem::df |
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const gsl_vector * |
x, |
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void * |
params, |
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gsl_vector * |
g |
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) |
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Callback to evaluate the gradient of the optimization criterion To derive a CFDFMinimizer::Problem, the do_df methods has to be implemented accordingly.
◆ f()
static double gsl::CFDFMinimizer::Problem::f |
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const gsl_vector * |
x, |
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void * |
params |
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) |
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Callback to evaluate the value of the optimization criterion To derive a CFDFMinimizer::Problem, the do_f methods has to be implemented accordingly.
◆ fdf()
static void gsl::CFDFMinimizer::Problem::fdf |
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const gsl_vector * |
x, |
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void * |
params, |
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double * |
f, |
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gsl_vector * |
g |
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) |
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Callback to evaluate the gradient and the value of the optimization criterion To derive a CFDFMinimizer::Problem, the do_fdf methods has to be implemented accordingly.
◆ operator gsl_multimin_function_fdf *()
gsl::CFDFMinimizer::Problem::operator gsl_multimin_function_fdf * |
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◆ size()
size_t gsl::CFDFMinimizer::Problem::size |
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const |
The documentation for this class was generated from the following file: