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

- d -

• data() : num_collect::util::vector< T >, num_prob_collect::regularization::blur_sine
• data_ : num_collect::opt::impl::ternary_vector, num_collect::rbf::impl::general_spline_equation_solver< KernelValue, FunctionValue, kernel_matrix_type::dense, true >, num_collect::regularization::fista< Coeff, Data >, num_collect::regularization::implicit_gcv_calculator< Solver >, num_collect::regularization::tv_admm< Coeff, DerivativeMatrix, Data >, num_prob_collect::regularization::blur_sine
• data_size() : num_collect::regularization::fista< Coeff, Data >, num_collect::regularization::full_gen_tikhonov< Coeff, Data >, num_collect::regularization::regularized_solver_base< Derived, Data >, num_collect::regularization::tikhonov< Coeff, Data >, num_collect::regularization::tv_admm< Coeff, DerivativeMatrix, Data >
• data_transformation_matrix_ : num_collect::rbf::impl::general_spline_equation_solver< KernelValue, FunctionValue, kernel_matrix_type::dense, true >
• data_type : num_collect::opt::impl::ternary_vector, num_collect::regularization::explicit_gcv< Solver, Optimizer >, num_collect::regularization::explicit_l_curve< Solver, Optimizer >, num_collect::regularization::explicit_param_searcher_base< Derived, Solver >, num_collect::regularization::implicit_gcv< Solver >, num_collect::regularization::implicit_gcv_calculator< Solver >, num_collect::regularization::regularized_solver_base< Derived, Data >, num_prob_collect::regularization::blur_sine
• data_with_noise_ : num_collect::regularization::implicit_gcv_calculator< Solver >
• de_finite_integrator() : num_collect::integration::de_finite_integrator< Result(Variable)>
• de_infinite_integrator() : num_collect::integration::de_infinite_integrator< Result(Variable)>
• de_semi_infinite_integrator() : num_collect::integration::de_semi_infinite_integrator< Result(Variable)>
• debug() : num_collect::logging::logger
• decomposition_ : num_collect::rbf::impl::kernel_matrix_solver< KernelValue, FunctionValue, kernel_matrix_type::dense, true >
• decrease_rate_bound() : num_collect::opt::adaptive_diagonal_curves< ObjectiveFunction >
• decrease_rate_bound_ : num_collect::opt::adaptive_diagonal_curves< ObjectiveFunction >
• default_armijo_coeff : num_collect::opt::backtracking_line_searcher< ObjectiveFunction >
• default_current_step_error_exponent : num_collect::ode::pi_step_size_controller< Formula >
• default_decrease_rate_bound : num_collect::opt::adaptive_diagonal_curves< ObjectiveFunction >
• default_degree : num_collect::integration::gauss_legendre_integrator< Result(Variable)>, num_collect::integration::gauss_legendre_kronrod_integrator< Result(Variable)>
• default_derivative_constraint_coeff : num_collect::regularization::tv_admm< Coeff, DerivativeMatrix, Data >
• default_highest_temperature : num_collect::opt::annealing_downhill_simplex< ObjectiveFunction >
• default_iteration_label_period : num_collect::logging::log_tag_config
• default_iteration_output_period : num_collect::logging::log_tag_config
• default_log_sink_factory() : num_collect::logging::config::default_log_sink_factory
• default_max_evaluations : num_collect::opt::adaptive_diagonal_curves< ObjectiveFunction >, num_collect::opt::dividing_rectangles< ObjectiveFunction >, num_collect::opt::gaussian_process_optimizer< ObjectiveFunction >
• default_max_iterations : num_collect::linear::impl::operator_conjugate_gradient< Vector >, num_collect::linear::iterative_solver_base< Derived >, num_collect::ode::impl::bicgstab< Vector >, num_collect::opt::annealing_downhill_simplex< ObjectiveFunction >, num_collect::opt::downhill_simplex< ObjectiveFunction >, num_collect::opt::sampling_optimizer< ObjectiveFunction >, num_collect::regularization::fista< Coeff, Data >, num_collect::regularization::tv_admm< Coeff, DerivativeMatrix, Data >, num_collect::roots::newton_raphson< Function >
• default_max_iterations_per_trial : num_collect::opt::annealing_downhill_simplex< ObjectiveFunction >
• default_max_lower_bound_evaluations : num_collect::opt::gaussian_process_optimizer< ObjectiveFunction >
• default_max_mle_evaluations : num_collect::rbf::rbf_interpolator< FunctionValue(Variable), RBF, KernelMatrixType, DistanceFunction, LengthParameterCalculator >, num_collect::rbf::rbf_polynomial_interpolator< FunctionValue(Variable), RBF, PolynomialDegree, KernelMatrixType, DistanceFunction, LengthParameterCalculator >
• default_max_point : num_collect::integration::de_finite_integrator< Result(Variable)>, num_collect::integration::de_infinite_integrator< Result(Variable)>, num_collect::integration::de_semi_infinite_integrator< Result(Variable)>, num_collect::integration::impl::de_semi_infinite_integrator_traits< double >, num_collect::integration::impl::de_semi_infinite_integrator_traits< float >, num_collect::integration::impl::tanh_finite_integrator_traits< double >, num_collect::integration::impl::tanh_finite_integrator_traits< float >, num_collect::integration::tanh_finite_integrator< Result(Variable)>
• default_max_step_size_factor : num_collect::ode::basic_step_size_controller< Formula >, num_collect::ode::pi_step_size_controller< Formula >
• default_max_subspace_dim : num_collect::ode::impl::gmres< Vector >
• default_maximum_directly_solved_matrix_size : num_collect::linear::algebraic_multigrid_solver< Matrix >
• default_min_div_rate : num_collect::integration::gauss_legendre_kronrod_integrator< Result(Variable)>
• default_min_rate_imp : num_collect::opt::adaptive_diagonal_curves< ObjectiveFunction >, num_collect::opt::dividing_rectangles< ObjectiveFunction >
• default_min_step_size_factor : num_collect::ode::pi_step_size_controller< Formula >
• default_noise_rate : num_collect::regularization::implicit_gcv_calculator< Solver >
• default_num_local_optima : num_prob_collect::opt::random_multi_variate_difficult_multi_optima_function_generator, num_prob_collect::opt::random_multi_variate_multi_optima_function_generator, num_prob_collect::opt::random_single_variate_multi_optima_function_generator
• default_num_samples : num_collect::opt::sampling_optimizer< ObjectiveFunction >
• default_opt1_max_evaluations : num_collect::opt::heuristic_global_optimizer< ObjectiveFunction >
• default_points : num_collect::integration::de_finite_integrator< Result(Variable)>, num_collect::integration::de_infinite_integrator< Result(Variable)>, num_collect::integration::de_semi_infinite_integrator< Result(Variable)>, num_collect::integration::tanh_finite_integrator< Result(Variable)>
• default_previous_step_error_exponent : num_collect::ode::pi_step_size_controller< Formula >
• default_rate_of_cg_tol_rate_to_tol_update_rate : num_collect::regularization::tv_admm< Coeff, DerivativeMatrix, Data >
• default_reduction_rate : num_collect::ode::step_size_controller_base< Derived, Formula >
• default_scale : num_collect::rbf::length_parameter_calculators::global_length_parameter_calculator< DistanceFunction >, num_collect::rbf::length_parameter_calculators::local_length_parameter_calculator< DistanceFunction >
• default_step_scale : num_collect::opt::backtracking_line_searcher< ObjectiveFunction >
• default_step_size : num_collect::ode::simple_solver< Formula >
• default_step_size_factor_safety_coeff : num_collect::ode::basic_step_size_controller< Formula >, num_collect::ode::pi_step_size_controller< Formula >
• default_strong_coeff_rate_threshold : num_collect::linear::algebraic_multigrid_solver< Matrix >
• default_tol_error : num_collect::integration::gauss_legendre_kronrod_integrator< Result(Variable)>
• default_tol_grad_norm : num_collect::opt::descent_method_base< Derived, LineSearcher >
• default_tol_last_change : num_collect::roots::newton_raphson< Function >
• default_tol_residual_norm : num_collect::ode::avf::avf2_formula< Problem >, num_collect::ode::avf::avf3_formula< Problem >, num_collect::ode::avf::avf4_formula< Problem >
• default_tol_section_len : num_collect::opt::golden_section_search< ObjectiveFunction >
• default_tol_simplex_size : num_collect::opt::downhill_simplex< ObjectiveFunction >
• default_tol_update_rate : num_collect::regularization::fista< Coeff, Data >, num_collect::regularization::tv_admm< Coeff, DerivativeMatrix, Data >
• default_tol_value_norm : num_collect::roots::newton_raphson< Function >
• default_tolerance : num_collect::linear::iterative_solver_base< Derived >
• default_tolerance_rate : num_collect::linear::impl::operator_conjugate_gradient< Vector >, num_collect::ode::impl::bicgstab< Vector >, num_collect::ode::inexact_newton_slope_equation_solver< Problem >, num_collect::ode::inexact_newton_update_equation_solver< Problem >, num_collect::ode::rosenbrock::gmres_rosenbrock_equation_solver< Problem >
• default_width : num_collect::opt::annealing_downhill_simplex< ObjectiveFunction >, num_collect::opt::downhill_simplex< ObjectiveFunction >
• degree() : num_collect::functions::legendre_roots< T >, num_collect::linear::impl::cuthill_mckee_ordering_impl< StorageIndex >::next_index_data
• degree_ : num_collect::functions::impl::legendre_for_newton< T >, num_collect::functions::legendre_roots< T >, num_collect::integration::gauss_legendre_kronrod_integrator< Result(Variable)>
• degrees_ : num_collect::rbf::polynomial_calculator< Variable, PolynomialDegree >
• denominator() : num_collect::numbers::fraction< IntegerType >
• denominator_ : num_collect::numbers::fraction< IntegerType >
• dense_diff_matrix_functor() : num_prob_collect::regularization::impl::dense_diff_matrix_functor< Matrix >
• dense_matrix_format_view() : num_collect::util::impl::dense_matrix_format_view< Matrix >
• dense_matrix_type : num_collect::linear::algebraic_multigrid_solver< Matrix >
• dense_vector_format_view() : num_collect::util::impl::dense_vector_format_view< Vector >
• dense_vector_type : num_collect::linear::algebraic_multigrid_solver< Matrix >
• derivative_ : num_collect::regularization::tv_admm< Coeff, DerivativeMatrix, Data >
• derivative_constraint_coeff_ : num_collect::regularization::tv_admm< Coeff, DerivativeMatrix, Data >
• derivative_matrix_ : num_collect::regularization::tv_admm< Coeff, DerivativeMatrix, Data >
• derivative_matrix_type : num_collect::regularization::tv_admm< Coeff, DerivativeMatrix, Data >
• derived() : num_collect::base::iterative_solver_base< Derived >, num_collect::ode::formula_base< Derived, Problem >, num_collect::ode::rosenbrock::rosenbrock_formula_base< Derived, Problem, EquationSolver >, num_collect::ode::runge_kutta::implicit_formula_base< Derived, Problem, FormulaSolver >, num_collect::ode::solver_base< Derived, Formula >, num_collect::ode::step_size_controller_base< Derived, Formula >, num_collect::regularization::explicit_param_searcher_base< Derived, Solver >, num_collect::regularization::implicit_regularized_solver_base< Derived, Data >, num_collect::regularization::regularized_solver_base< Derived, Data >
• descent_method_base() : num_collect::opt::descent_method_base< Derived, LineSearcher >
• detailed_log_formatter() : num_collect::logging::formatters::detailed_log_formatter
• determine_divided_dimension() : num_collect::opt::dividing_rectangles< ObjectiveFunction >
• determine_nondominated_rectangles() : num_collect::opt::adaptive_diagonal_curves< ObjectiveFunction >
• determine_rects() : num_collect::opt::dividing_rectangles< ObjectiveFunction >
• determine_sample_points() : num_collect::opt::impl::adc_rectangle< Value >
• dfp_optimizer() : num_collect::opt::dfp_optimizer< ObjectiveFunction, LineSearcher, Hessian >
• diag_ : num_collect::linear::gauss_seidel_iterative_solver< Matrix >, num_collect::linear::parallel_symmetric_successive_over_relaxation< Matrix >, num_collect::linear::symmetric_successive_over_relaxation< Matrix >
• diag_coeff() : num_prob_collect::linear::laplacian_2d_grid< Matrix >
• diag_coeff_ : num_prob_collect::linear::laplacian_2d_grid< Matrix >
• dict_type : num_collect::opt::adaptive_diagonal_curves< ObjectiveFunction >
• diff : num_collect::auto_diff::backward::graph::node_differentiator< Scalar >::node_info, num_collect::auto_diff::forward::variable< Value, Diff >
• diff_ : num_collect::auto_diff::backward::impl::differentiate_scalar_with_matrix_functor< ArgType >, num_collect::auto_diff::backward::impl::differentiate_vector_with_vector_functor< FuncValType, ArgType >, num_collect::auto_diff::forward::variable< Value, Diff >, num_prob_collect::opt::random_multi_quadratic_function
• diff_coeff() : num_collect::integration::de_finite_integrator< Result(Variable)>, num_collect::integration::de_semi_infinite_integrator< Result(Variable)>, num_collect::ode::evaluation_type, num_collect::ode::multi_variate_implicit_problem_wrapper< Problem, LinearEquationSolver >, num_collect::ode::single_variate_implicit_problem_wrapper< Problem >, num_prob_collect::ode::autonomous_external_force_vibration_problem, num_prob_collect::ode::changing_mass_exponential_problem, num_prob_collect::ode::changing_mass_quadratic_problem, num_prob_collect::ode::exponential_problem, num_prob_collect::ode::external_exponential_problem, num_prob_collect::ode::external_force_vibration_problem, num_prob_collect::ode::free_fall_in_resistance_problem, num_prob_collect::ode::implicit_exponential_problem, num_prob_collect::ode::implicit_kaps_problem, num_prob_collect::ode::kaps_problem, num_prob_collect::ode::no_jacobian_implicit_kaps_problem, num_prob_collect::ode::pendulum_movement_problem, num_prob_collect::ode::spring_movement_problem, num_prob_collect::ode::string_wave_1d_problem
• diff_coeff_ : num_collect::ode::multi_variate_implicit_problem_wrapper< Problem, LinearEquationSolver >, num_collect::ode::rosenbrock::mixed_broyden_rosenbrock_equation_solver< Problem >, num_collect::ode::single_variate_implicit_problem_wrapper< Problem >, num_prob_collect::ode::autonomous_external_force_vibration_problem, num_prob_collect::ode::changing_mass_exponential_problem, num_prob_collect::ode::changing_mass_quadratic_problem, num_prob_collect::ode::exponential_problem, num_prob_collect::ode::external_exponential_problem, num_prob_collect::ode::external_force_vibration_problem, num_prob_collect::ode::free_fall_in_resistance_problem, num_prob_collect::ode::implicit_exponential_problem, num_prob_collect::ode::implicit_kaps_problem, num_prob_collect::ode::kaps_problem, num_prob_collect::ode::no_jacobian_implicit_kaps_problem, num_prob_collect::ode::pendulum_movement_problem, num_prob_collect::ode::spring_movement_problem, num_prob_collect::ode::string_wave_1d_problem
• diff_grad_ : num_collect::opt::bfgs_optimizer< ObjectiveFunction, LineSearcher, HessianSolver >, num_collect::opt::dfp_optimizer< ObjectiveFunction, LineSearcher, Hessian >
• diff_type : num_collect::auto_diff::forward::impl::create_diff_variable_vector_functor< ValueVector >, num_collect::auto_diff::forward::impl::make_jacobian_functor< VectorType >, num_collect::auto_diff::forward::variable< Value, Diff >
• diff_var_ : num_collect::opt::bfgs_optimizer< ObjectiveFunction, LineSearcher, HessianSolver >, num_collect::opt::dfp_optimizer< ObjectiveFunction, LineSearcher, Hessian >
• difference_type : num_collect::util::vector< T >
• differentiate_scalar_with_matrix_functor() : num_collect::auto_diff::backward::impl::differentiate_scalar_with_matrix_functor< ArgType >
• differentiate_vector_with_vector_functor() : num_collect::auto_diff::backward::impl::differentiate_vector_with_vector_functor< FuncValType, ArgType >
• digit_calc_type : num_collect::numbers::custom_float< Radix, Digit, DigitCalc >
• digit_type : num_collect::numbers::custom_float< Radix, Digit, DigitCalc >, num_collect::opt::impl::ternary_vector
• digits() : num_collect::opt::impl::ternary_vector
• digits10() : Eigen::NumTraits< num_collect::auto_diff::backward::variable< Scalar > >, Eigen::NumTraits< num_collect::auto_diff::forward::variable< Value, Diff > >
• digits_ : num_collect::numbers::custom_float< Radix, Digit, DigitCalc >
• dim() : num_collect::opt::impl::adc_sample_dict< ObjectiveFunction >, num_collect::opt::impl::ternary_vector
• dim_ : num_collect::opt::annealing_downhill_simplex< ObjectiveFunction >, num_collect::opt::dividing_rectangles< ObjectiveFunction >, num_collect::opt::downhill_simplex< ObjectiveFunction >, num_collect::opt::gaussian_process_optimizer< ObjectiveFunction >, num_collect::opt::impl::adc_sample_dict< ObjectiveFunction >
• direction_ : num_collect::opt::conjugate_gradient_optimizer< ObjectiveFunction, LineSearcher >
• dist() : num_collect::opt::dividing_rectangles< ObjectiveFunction >::rectangle, num_collect::opt::impl::adc_group< Value >, num_collect::opt::impl::adc_rectangle< Value >
• dist_ : num_collect::opt::dividing_rectangles< ObjectiveFunction >::rectangle, num_collect::opt::impl::adc_group< Value >
• distance_function() : num_collect::rbf::rbf_interpolator< FunctionValue(Variable), RBF, KernelMatrixType, DistanceFunction, LengthParameterCalculator >, num_collect::rbf::rbf_polynomial_interpolator< FunctionValue(Variable), RBF, PolynomialDegree, KernelMatrixType, DistanceFunction, LengthParameterCalculator >
• distance_function_ : num_collect::rbf::rbf_interpolator< FunctionValue(Variable), RBF, KernelMatrixType, DistanceFunction, LengthParameterCalculator >, num_collect::rbf::rbf_polynomial_interpolator< FunctionValue(Variable), RBF, PolynomialDegree, KernelMatrixType, DistanceFunction, LengthParameterCalculator >
• distance_function_type : num_collect::rbf::length_parameter_calculators::global_length_parameter_calculator< DistanceFunction >, num_collect::rbf::length_parameter_calculators::local_length_parameter_calculator< DistanceFunction >, num_collect::rbf::rbf_interpolator< FunctionValue(Variable), RBF, KernelMatrixType, DistanceFunction, LengthParameterCalculator >, num_collect::rbf::rbf_polynomial_interpolator< FunctionValue(Variable), RBF, PolynomialDegree, KernelMatrixType, DistanceFunction, LengthParameterCalculator >
• divide() : num_collect::opt::dividing_rectangles< ObjectiveFunction >::rectangle
• divide_by() : num_collect::numbers::fraction< IntegerType >
• divide_in_place() : num_collect::opt::dividing_rectangles< ObjectiveFunction >::rectangle
• divide_nondominated_rectangles() : num_collect::opt::adaptive_diagonal_curves< ObjectiveFunction >
• divide_rect() : num_collect::opt::dividing_rectangles< ObjectiveFunction >
• divide_rectangle() : num_collect::opt::adaptive_diagonal_curves< ObjectiveFunction >
• dividing_rectangles() : num_collect::opt::dividing_rectangles< ObjectiveFunction >
• downhill_simplex() : num_collect::opt::downhill_simplex< ObjectiveFunction >
• dummy_precision() : Eigen::NumTraits< num_collect::auto_diff::backward::variable< Scalar > >, Eigen::NumTraits< num_collect::auto_diff::forward::variable< Value, Diff > >