Automatic Differentiation
 
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stan::math::laplace_options< true > Struct Reference

Detailed Description

Definition at line 90 of file laplace_marginal_density_estimator.hpp.

#include <laplace_marginal_density_estimator.hpp>

+ Inheritance diagram for stan::math::laplace_options< true >:

Public Member Functions

template<typename ThetaVec >
 laplace_options (ThetaVec &&theta_0_, double tolerance_, int max_num_steps_, int hessian_block_size_, int solver_, int max_steps_line_search_, bool allow_fallthrough_)
 

Public Attributes

Eigen::VectorXd theta_0 {0}
 
int hessian_block_size {internal::laplace_default_hessian_block_size}
 
int solver {internal::laplace_default_solver}
 Which linear solver to use inside the Newton step.
 
double tolerance {internal::laplace_default_tolerance}
 Iterations end when the absolute change in the optimization objective is less than this tolerance.
 
int max_num_steps {internal::laplace_default_max_num_steps}
 
int allow_fallthrough {internal::laplace_default_allow_fallthrough}
 
laplace_line_search_options line_search
 

The documentation for this struct was generated from the following file: