#include <OpenTissue/configuration.h>
#include <OpenTissue/core/math/big/big_types.h>
#include <OpenTissue/core/math/optimization/optimization_constants.h>
#include <OpenTissue/core/math/optimization/optimization_armijo_projected_backtracking.h>
#include <OpenTissue/core/math/optimization/optimization_stationary_point.h>
#include <OpenTissue/core/math/math_value_traits.h>
#include <OpenTissue/core/math/math_is_number.h>
#include <cmath>
#include <stdexcept>
#include <cassert>
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Namespaces |
namespace | OpenTissue |
namespace | OpenTissue::math |
namespace | OpenTissue::math::optimization |
Functions |
template<typename T , typename function_functor , typename gradient_functor , typename projection_operator > |
void | OpenTissue::math::optimization::projected_steepest_descent (function_functor &f, gradient_functor &nabla_f, boost::numeric::ublas::vector< T > &x, projection_operator const &P, size_t const &max_iterations, T const &absolute_tolerance, T const &relative_tolerance, T const &stagnation_tolerance, size_t &status, size_t &iteration, T &error, T const &alpha, T const &beta, ublas::vector< T > *profiling=0) |
template<typename T , typename function_functor , typename gradient_functor , typename projection_operator > |
void | OpenTissue::math::optimization::projected_steepest_descent (function_functor &f, gradient_functor &nabla_f, boost::numeric::ublas::vector< T > &x, projection_operator const &P, size_t const &max_iterations, T const &absolute_tolerance, T const &relative_tolerance, T const &stagnation_tolerance, size_t &status, size_t &iteration, T &error, T const &tau, ublas::vector< T > *profiling=0) |
Variables |
double | convex_lambda |
Variable Documentation