Here is a list of all documented functions with links to the class documentation for each member:

- g -

• gamma() : num_collect::functions::impl::gamma_lanczos< Real >
• gauss_legendre_integrator() : num_collect::integration::gauss_legendre_integrator< Result(Variable)>
• gauss_legendre_kronrod_integrator() : num_collect::integration::gauss_legendre_kronrod_integrator< Result(Variable)>
• gauss_seidel_iterative_solver() : num_collect::linear::gauss_seidel_iterative_solver< Matrix >
• gaussian_process_optimizer() : num_collect::opt::gaussian_process_optimizer< ObjectiveFunction >
• gcv() : num_collect::regularization::explicit_regularized_solver_base< Derived, Data >
• general_spline_equation_solver() : num_collect::rbf::impl::general_spline_equation_solver< KernelValue, FunctionValue, kernel_matrix_type::dense, true >
• generate_fluctuation() : num_collect::opt::annealing_downhill_simplex< ObjectiveFunction >
• generate_jacobi_kronrod_matrix() : num_collect::integration::gauss_legendre_kronrod_integrator< Result(Variable)>
• generate_noise() : num_collect::regularization::implicit_gcv_calculator< Solver >
• get() : num_collect::logging::config::log_sink_factory_table::cached_log_sink, num_collect::logging::config::log_sink_factory_table, num_collect::logging::iterations::function_iteration_parameter_value< Algorithm, Value, Function >, num_collect::logging::iterations::member_function_iteration_parameter_value< Algorithm, Value, Function >, num_collect::logging::iterations::member_variable_iteration_parameter_value< Algorithm, Value >, num_collect::logging::iterations::variable_iteration_parameter_value< Algorithm, Value >
• get_buffer_size() : num_collect::util::producer_consumer_circular_queue< T >
• get_config_of() : num_collect::logging::impl::log_tag_config_tree, num_collect::logging::impl::log_tag_config_tree_node
• get_my_config() : num_collect::logging::impl::log_tag_config_tree_node
• get_or_create_child_node() : num_collect::logging::impl::log_tag_config_tree_node
• get_or_prepare() : num_collect::util::bidirectional_vector< Value, Container >
• get_pointer() : num_collect::util::object_storage< T, MinimumAlignment >
• get_ref() : num_collect::util::object_storage< T, MinimumAlignment >
• global_length_parameter_calculator() : num_collect::rbf::length_parameter_calculators::global_length_parameter_calculator< DistanceFunction >
• gmres_rosenbrock_equation_solver() : num_collect::ode::rosenbrock::gmres_rosenbrock_equation_solver< Problem >
• golden_section_search() : num_collect::opt::golden_section_search< ObjectiveFunction >
• gradient() : num_collect::opt::backtracking_line_searcher< ObjectiveFunction >, num_collect::opt::bfgs_optimizer< ObjectiveFunction, LineSearcher, HessianSolver >, num_collect::opt::conjugate_gradient_optimizer< ObjectiveFunction, LineSearcher >, num_collect::opt::descent_method_base< Derived, LineSearcher >, num_collect::opt::dfp_optimizer< ObjectiveFunction, LineSearcher, Hessian >, num_collect::opt::newton_optimizer< ObjectiveFunction, LineSearcher, HessianSolver >, num_collect::opt::steepest_descent< ObjectiveFunction, LineSearcher >, num_prob_collect::opt::multi_quadratic_function, num_prob_collect::opt::powell4_function, num_prob_collect::opt::random_multi_quadratic_function, num_prob_collect::opt::rosenbrock_function, num_prob_collect::opt::vibrated_quadratic_function
• gradient_norm() : num_collect::opt::bfgs_optimizer< ObjectiveFunction, LineSearcher, HessianSolver >, num_collect::opt::conjugate_gradient_optimizer< ObjectiveFunction, LineSearcher >, num_collect::opt::descent_method_base< Derived, LineSearcher >, num_collect::opt::dfp_optimizer< ObjectiveFunction, LineSearcher, Hessian >, num_collect::opt::newton_optimizer< ObjectiveFunction, LineSearcher, HessianSolver >, num_collect::opt::steepest_descent< ObjectiveFunction, LineSearcher >
• grid_cols() : num_prob_collect::linear::laplacian_2d_grid< Matrix >
• grid_rows() : num_prob_collect::linear::laplacian_2d_grid< Matrix >