Stan  1.0
probability, sampling & optimization
Typedefs | Functions
stan::optimization Namespace Reference

Typedefs

typedef Eigen::Matrix< double, Eigen::Dynamic, Eigen::Dynamic > matrix_d
 
typedef Eigen::Matrix< double, Eigen::Dynamic, 1 > vector_d
 

Functions

double newton_step (stan::model::prob_grad &model, std::vector< double > &params_r, std::vector< int > &params_i, std::ostream *output_stream=0)
 

Typedef Documentation

◆ matrix_d

typedef Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic> stan::optimization::matrix_d

Definition at line 13 of file newton.hpp.

◆ vector_d

typedef Eigen::Matrix<double, Eigen::Dynamic, 1> stan::optimization::vector_d

Definition at line 14 of file newton.hpp.

Function Documentation

◆ newton_step()

double stan::optimization::newton_step ( stan::model::prob_grad model,
std::vector< double > &  params_r,
std::vector< int > &  params_i,
std::ostream *  output_stream = 0 
)

Definition at line 32 of file newton.hpp.


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