Monte Carlo Machine Learning Library (MCMLL) 1.1.1
Library for Machine Learning applications using mainly Monte Carlo methods
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
sl::propagator::ABC< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::ABC_optimizer_core
sl::optimizer::abort_condition_gradient_test< T >
sl::abs_f< T >
sl::func::ackley< T, T_INPUT_PRE_PROCESSOR >
sl::vision::error_operator::adaptive_exp_cf_variance_calculator< T >
sl::func::add
sl::func::addition< T_result, T_left, T_right >
sl::func::addition_assignment
sl::additive_conditional_distribution< T_FUNCTION, T_DENSITY >
sl::func::alpine< T, T_INPUT_PRE_PROCESSOR >
sl::ann< T, T_BASIS_NODE, T_OUTPUT_NODE >
sl::annealing_sample_set_controller< T, T_DISTRIBUTION_PARAMETERIZER >
sl::propagator::annealing_tree_pp< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::ANNR2JADE_optimizer_core
sl::propagator::ANNRJADE< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
app_base< T_IO >
sl::apply_both< T_OP >
sl::apply_first< T_OP >
sl::arma_estimator< T, T_REACTOR, T_PROPAGATOR >
sl::arma_predictor< T_DATA_CONTAINER >
sl::func::array_element_accessor< n >
sl::array_of_pairs_col_vector_view< T >
sl::func::assign_to_left_if_unequal
sl::func::assigner
base
sl::basic_stats< T >
sl::func::beale< T, T_INPUT_PRE_PROCESSOR >
sl::best_fitness_accessor
sl::best_pos_accessor
sl::best_pos_if_local_progress_accessor< T >
sl::beta_distribution< T >
sl::propagator::binary_ga< T >
sl::propagator::binary_ga_bayesian< T >
sl::func::binary_pair_accessor< T_1, T_2 >
sl::propagator::block_perm_symm_pp< T >
sl::func::branin< T, T_INPUT_PRE_PROCESSOR >
sl::func::caster
sl::func::cellular_automaton< T >
sl::centroid_calculator
sl::centroid_shifting_repulsive_particle_propagator< T >
ga::chromosome
sl::chromosome
sl::propagator::cma_es< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::propagator::cmaes_symm_brk< T, T_PP >
cmaes_t
sl::func::cmp_pair_first< T_CMP >
sl::func::cmp_pair_second< T_CMP >
sl::column_major_accessor
sl::func::colville< T, T_INPUT_PRE_PROCESSOR >
sl::func::comparator
sl::compare_best_fitnesses< T_RELATER >
sl::conditional_distribution_mixture_generator< T_CONDITIONAL_DISTRIBUTION >
sl::conditional_multivariate_gaussian_distribution_generator< T >
sl::func::conjugation
sl::nnc::connection< T, T_NODE >
sl::nnc::connection_out_access
sl::func::const_add< T >
sl::func::const_addition< T_result, T_left, T_right >
sl::func::const_function< T >
sl::const_ind1
sl::const_ind2
ga::constant_value< T >
sl::constant_value< T >
sl::coordinate_system_3D< T >
sl::vision::correspondence_matrix_generator
sl::func::cosine_mixture< T, T_INPUT_PRE_PROCESSOR >
sl::covariance_calculator_line2d< T, T_line2d_covariance_hesse_matrix_generator >
sl::covariance_decomposer2d
sl::crossover_operator< T >
sl::csass< T >
sl::func::cumulative< T, T_ACCUMULATOR, T_MAPPING >
sl::cyclic_array< T >
sl::propagator::DE< T_PARAMETER >
sl::vision::DE_F_estimator< T >
DE_uniform_camera_estimator
DE_uniform_camera_estimator_mt
sl::propagator::DEDE< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::DEDE_optimizer_core
sl::delimiting_bounds_checker< T >
sl::delta_distribution< T >
sl::func::dereferencer< T >
sl::direction_angles_generator
sl::discrete_distribution< T >
sl::discrete_threshold< T >
sl::disjunctive_rand_int_seq_generator< T >
sl::func::divide
sl::func::division< T_result, T_left, T_right >
sl::func::division_assignment< T_left, T_right >
sl::func::dual_iterator< T_ITERATOR1, T_ITERATOR2 >
sl::dual_mixture< T_DIST1, T_DIST2 >
sl::func::dual_sequence< T_1, T_2 >
sl::vision::gradient_search::E_exp_functional< T >
sl::vision::gradient_search::E_functional< T >
sl::vision::gradient_search::E_matrix_gradient_generator< T, T_E_functional >
sl::vision::gradient_search::E_matrix_hesse_matrix_generator< T, T_E_functional >
sl::func::e_michalewicz< T, T_INPUT_PRE_PROCESSOR >
sl::func::easom< T, T_INPUT_PRE_PROCESSOR >
sl::propagator::EGA< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::em_gmm< T, T_ACCESSOR >
sl::vision::error_operator::epipolar_angle< T, T_CORRESPONDENCE_MATRIX_GENERATOR >
sl::vision::error_operator::epipolar_distance< T, T_CORRESPONDENCE_CONTAINER, T_ERROR_FUNCTIONAL, T_EPIPOLAR_DISTANCE_SQUARE_CALCULATOR >
sl::vision::error_operator::epipolar_distance_square_from_vector< T >
sl::vision::error_operator::epipolar_distance_square_from_voodoo_struct< T >
sl::vision::epipolar_estimator< T, T_parameterizer, T_ERROR_FUNCTIONAL, T_ERROR_DETERMINER >
sl::vision::epipolar_particle_post_processor< T_PARAMETER >
sl::vision::error_operator::epipolar_tensor< T, T_CORRESPONDENCE_MATRIX_GENERATOR >
sl::vision::gradient_search::exp1D< T >
sl::vision::gradient_search::exp1D_gradient_generator< T, T_EXP_REACTOR >
sl::vision::gradient_search::exp2D< T >
sl::vision::gradient_search::exp2D_gradient_generator< T, T_EXP_REACTOR >
sl::exp_sigmoid< T >
sl::experimental2_repulsive_particle_propagator< T >
sl::experimental_meta_particle_propagator< T >
sl::func::exponential_problem< T, T_INPUT_PRE_PROCESSOR >
sl::expr< T1, T2, T_OP >
ga::external_variance_mutation_operator< T_VARIANCE_ARRAY >
sl::vision::parameterizer::F10< T >
sl::vision::parameterizer::F7< T >
sl::vision::gradient_search::F7_exp< T >
sl::func::f_exp< T >
sl::fixed_star_particle_propagator< T >
sl::frobenius_norm_determiner< T >
sl::frobenius_unit_matrix_transformer
sl::propagator::GA< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::gaussian_observation_preprocessor
sl::gaussian_rbf< T >
ga::gen2D< T, T_min_value, T_max_value >
sl::gen2D< T, T_min_value, T_max_value >
ga::gen2D_size_type< T, T2 >
sl::gen2D_size_type< T, T2 >
ga::genBase
sl::genBase
sl::genCode< T >
ga::genCode< T >
sl::generic_bayesian_estimator< T_DENSITY_PREDICTOR, T_DENSITY_BAYESIAN_UPDATER, T_STATE_PROPAGATION_DENSITY, T_OBSERVATION_MAPPING_DENSITY, T_OBSERVATION, T_STATE_DENSITY >
sl::generic_bayesian_updater
sl::func::generic_binary< T, f >
sl::func::generic_compare< T_COMPARATOR, T_ACCESSOR >
sl::generic_confronter1D
sl::generic_confronter2D
sl::generic_density_predictor< T_INTEGRATOR >
sl::propagator::generic_es< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::generic_global_optimizer< T_REACTOR, T_PARTICLE_PROPAGATOR, T_PARAMETER, T_FITNESS >
sl::generic_operator
sl::generic_SIR< T_OBSERVATION_OPERATOR, T_STATE_TRANSITION_OPERATOR, T_IMPORTANCE_OPERATOR, T_POSTERIOR_PROCESSOR, T_OBSERVATION_PREPROCESSOR, T_OBSERVATION, T_SAMPLE_SET, T_RESAMPLER, T_SAMPLE_SET_CONTROLLER >
sl::func::generic_unary< T, f >
ga::genObj< inputType, outputType >
sl::gfun< T_EXPRESSION, T_VARIABLE >
sl::global_operator< T, T_BOUNDS_CHECKER, T_RELATION >
sl::propagator::gmm_propagator< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
ui::gnuplot
ui::gnuplotException< T >
sl::go_arma_estimation_reactor< T_DATA_CONTAINER >
sl::go_cluster_reactor< T_CONTAINER, T >
ui::go_console_ui
ui::go_gnuplot_ui
sl::go_mixture_estimator< T_PARTICLE_PROPAGATOR, T_DATA, T_DATA_ACCESSOR >
sl::go_mt_wrapper< T_OPTIMIZER >
ui::go_ncurses_ui
sl::go_operator< T_PARAMETER, T_FITNESS >
sl::go_optimizer_stats< T >
sl::go_prior_sampler< T >
ui::go_ui_base
sl::func::goldstein_price< T, T_INPUT_PRE_PROCESSOR >
sl::optimizer::gradient_optimizer< T >
sl::gradient_updating_optimizer_core
ga::greater_ptr< T >
sl::func::griewank< T, T_INPUT_PRE_PROCESSOR >
sl::grw_state_transition_distribution_adaptor< T, T_ACCESSOR >
gv_mop_uni< T >
gv_mutation_operator_code< T >
sl::func::hartman< T, T_INPUT_PRE_PROCESSOR >
sl::hierarchial_clustering< T >
sl::histogram< T >
sl::vision::hough_transformer< T, T_TRANSFORMATION >
sl::hyper_sphere_vector_generator< T >
sl::sl::hyperbolic< T >
sl::sl::hyperbolic_gradient< T >
sl::sl::hyperbolic_hesse_matrix< T >
sl::hypercube_vertex_generator
sl::func::hyperellipsoid< T, T_INPUT_PRE_PROCESSOR >
sl::func::hypersphere< T >
sl::func::hypersphere_gradient< T >
sl::func::hypersphere_hesse_matrix< T >
sl::func::id
sl::func::id_copy
sl::func::identity_operator
sl::identity_parameterized_accessor
sl::identity_responder< T >
sl::func::idp< T >
sl::propagator::ILO< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::ILO_optimizer_core
sl::ILO_particle_state_controller
sl::func::im_gray_value_accessor< T_IMAGE, T_COLOR >
sl::vision::image_cluster_recognizer< T >
sl::incremental_auto_regressive_estimator< T >
sl::incremental_auto_regressive_predictor< T >
sl::incremental_correlation_determiner< T >
sl::incremental_mean< T >
sl::incremental_variance< T >Uses E[(x-m_x)^2] = E[x^2] - m_x^2
sl::incremental_vector_stats< T >
sl::ind1_const
sl::ind1_ind1
sl::ind2_const
sl::ind2_ind1
sl::ind2_ind2
sl::ind2_prod
sl::index1_exchange
sl::index_exchange
sl::indexed1< T_l, T_r, T_op, T_ac >
sl::indexed2< A, B, O, Ac >
sl::inflationary_optimizer_core
sl::initial_fitness_reactor_functor< T_GO, T_REACTORS >
sl::integrator< T >
sl::interval< T >
sl::interval_Nd< T >
sl::func::inverted_cosine_wave< T, T_INPUT_PRE_PROCESSOR >
sl::iso_multivariate_gaussian_distribution< T >
sl::iteration_controller< T >
sl::iteration_information_writer< T_SEQUENCE_WRITER >
sl::func::binary_pair_accessor< T_1, T_2 >::iterator
sl::func::dual_sequence< T_1, T_2 >::iterator
sl::func::iterator_dereferencer< T >
sl::propagator::JADE< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::JADE_optimizer_core
sl::propagator::jDE< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::propagator::jR2DE< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::multi_dim_array< T, T_VECTOR >::kernel
sl::vision::hough_transformer< T, T_TRANSFORMATION >::kernel
sl::multi_indexed_single_indexed::kernel
sl::quantizer< T >::kernel
sl::func::langermann< T, T_INPUT_PRE_PROCESSOR >
sl::least_squares_qr_op< T >
sl::func::left_multiplicator< T >
ga::less_ptr< T >
sl::optimizer::lev_mar< T, T_RELATER >
sl::func::levy< T, T_INPUT_PRE_PROCESSOR >
sl::levy_distribution< T >
sl::line< T >Inner representation is : vec_x = vec_p + lambda * vec_v ,lambda E R
sl::vision::error_operator::line2d< T, T_POINTS2D, T_ERROR_FUNCTIONAL >
sl::line2d_fisher_information_matrix_calculator< T >
sl::line2d_full_cov_fisher_information_matrix_calculator< T >
sl::line2d_full_MLE_functional< T >
sl::line2d_hessian_MLE_functional< T >
sl::vision::parameterizer::line2d_hessian_parameterizer< T >
sl::vision::parameterizer::line2d_parameterizer< T >
sl::line_bundle< T >
sl::line_hough_transform< T >
sl::line_linear_approximative_estimator_2d
sl::linear_covariance_propagator
sl::linear_gaussian_random_walk< T >
sl::linear_incremental_updater< T >
sl::linearized_full_cov_projected_point2d< T >
sl::linearized_projected_point2d< T >
list
sl::propagator::local_rw_pp< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::func::log_2_gaussian< T >
sl::ls_output_weight_ann_reactor< T, T_OBS >
sl::propagator::LWE< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::propagator::lwes< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::propagator::lwesca< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::matrix< T, T_TRANSLATOR, T_ACCESSOR >
sl::matrix_column_view< T_MATRIX >
sl::matrix_row_view< T_MATRIX >
sl::matrix_view< T_MATRIX >
sl::func::matyas< T, T_INPUT_PRE_PROCESSOR >
sl::nnc::MBF_gaussian_node_reactor< T >
sl::MCMC_MH< T_TARGET_DENSITY, T_PROPOSAL_DENSITY >
sl::func::mean_calculator
sl::func::mean_plus_one
sl::meta_particle_propagator< T >
sl::func::michalewicz< T, T_INPUT_PRE_PROCESSOR >
sl::func::mixed_gaussian< T >
sl::mixture_estimator_reactor< T_DENSITY, T_DATA, T_DATA_ACCESSOR >
sl::vision::monocular_projective< T >
sl::mpropagator< T >
sl::mt_go_interactive_controller< T_OPTIMIZER >
mt::mt_indexed_server
mt::mt_indexed_worker< T_SERVER, T_FUNCTOR >
sl::func::mul
sl::multi_dim_array< T, T_VECTOR >
sl::multi_indexed_single_indexed
sl::nnc::multi_layer_net< T, T_NODE >
sl::nnc::multi_layer_node_connecter
sl::func::multiplication< T_result, T_left, T_right >
sl::func::multiplication_assignment< T_left, T_right >
sl::multivariate_gaussian_distribution< T >
sl::multivariate_levy_distribution< T >
MyWidget
sl::func::negation_functor
sl::neural_net< T_NEURON, T_GRAPH_TOPOLOGY >
sl::neural_net_reactor< T, T_NEURAL_NET >
sl::neural_net_topology< T >
sl::neuron< T, T_ACTIVATOR, T_RESPONDER >
sl::neuron_interconnection< T, T_ACTIVATOR, T_RESPONDER >
sl::optimizer::newton_optimizer< T >
sl::propagator::NLRPSO< T >
sl::propagator::NLRPSO2< T >
sl::nnc::node< T, T_KERNEL, T_REACTOR >
sl::propagator::non_elitery_binary_ga< T >
sl::non_elitery_optimizer_core
sl::non_stationary_distribution< T_MAPPING, T_DISTRIBUTION >
sl::propagator::NSDE< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::func::number_factorization< T >
sl::func::oni1< T, T_INPUT_PRE_PROCESSOR >
sl::func::oni2< T, T_INPUT_PRE_PROCESSOR >
sl::opposition_based_optimizer_core< T_PARAMETER >
fio::opt_el< T >
sl::optimizer_core
sl::optimizer_core_mt
sl::func::ostreamer< T_STREAM, T_ACCESS_OPERATOR >
sl::func::pair_first_accessor
sl::func::pair_second_accessor
sl::go_operator< T_PARAMETER, T_FITNESS >::parameters
pa::parse_code< T >
pa::parser< T >
pa::parser_cell< T >
pa::parser_entity< T >
pa::parser_operator< T >
pa::parser_operator_superposition< T >
pa::parser_pattern< T >
sl::particle< T_PARAMETER, T_FITNESS >
sl::particle_saver< T >
sl::particle_state_controller
sl::func::pathological_f< T, T_INPUT_PRE_PROCESSOR >
pa::pattern< T >
sl::func::penalized1< T, T_INPUT_PRE_PROCESSOR >
sl::func::penalized2< T, T_INPUT_PRE_PROCESSOR >
sl::func::periodic< T, T_INPUT_PRE_PROCESSOR >
sl::func::perm< T, T_INPUT_PRE_PROCESSOR >
sl::func::perm0< T, T_INPUT_PRE_PROCESSOR >
sl::func::perm_symm_1< T, T_INPUT_PRE_PROCESSOR >
pnt_file_reader< T >
pnt_file_writer< T >
sl::func::pointer_dereferencer_accessor< T >
sl::func::pointer_pair_applier< T_OPERATOR >
sl::polynome< T >
sl::polynome2D< T >
sl::func::pos_array_element_accessor< n >
sl::position_accessor
sl::func::pre_rotator< T, T_REACTOR >
fio::program_opts
sl::vision::projective< T >
sl::propagator::propagator_base< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::propagator::propagator_post_processor_base
sl::pseudo_inverse_svd_op< T >
sl::propagator::PSO< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::quadratic_f< T >
sl::quantized_probability_distribution_determinerDetermines relative frequency for given resolution (quantized probability distribution)
sl::quantizer< T >
sl::func::quartic< T, T_INPUT_PRE_PROCESSOR >
sl::vision::parameterizer::R< T >
sl::propagator::R2DE< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::R2JADE_optimizer_core
sl::random_access_parameterized_accessor
sl::random_access_series< T_RESULT, T_PARAMETERIZED_ACCESSOR, T_DATA >
random_t
sl::random_walk_state_transition< T >
sl::rank_rand_optimizer_core
sl::func::rastrigin< T, T_INPUT_PRE_PROCESSOR >
sl::rayleigh_distribution< T >
sl::nnc::rbf_multi_subnet_teacher< T >
sl::nnc::rbf_net_teacher< T >
sl::rbf_weight_calculator
sl::propagator::RDE< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
ga::reactingObj
sl::reactor< T, T_PARAMETERIZER, T_ERROR_OPERATOR >
sl::reactor_base< T, T_INPUT_PRE_PROCESSOR >
sl::reactor_functor< T_GO, T_REACTORS, T_PARTICLE_PROPAGATORS >
sl::reactor_functor_cmaes< T_GO, T_REACTORS, T_CMA_ES >
readpara_t
sl::real< T >
sl::redirecting_to_left_catalyst
sl::redirecting_to_right_catalyst
sl::func::relater< T_RELATION >
RenderThread
sl::repulsive_particle_propagator< T >
sl::repulsive_particle_propagator2< T >
sl::propagator::RJADE< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::func::rosenbrock< T, T_INPUT_PRE_PROCESSOR >
sl::row_major_accessor
sl::propagator::RPSO5< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::vision::parameterizer::RPSO6< T >
sl::propagator::RPSO6< T >
sl::vision::parameterizer::RPSO6_discrete< T >
sl::vision::parameterizer::RPSO6_iteration_controller
sl::vision::parameterizer::RPSO7< T >
sl::vision::parameterizer::RPSO7_discrete< T >
sl::vision::parameterizer::RPSO7_iteration_controller
sl::func::salomon< T, T_INPUT_PRE_PROCESSOR >
sl::sample_set< T1, T2 >
sl::propagator::SAR2DE< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::scalar_grw_state_transition_distribution_adaptor< T >
sl::scalar_normal_observation_preprocessor< T >
sl::scalar_product_node< T >
sl::scalar_sir_posterior_processor
pa::scanner< T >
sl::func::schaffer1< T, T_INPUT_PRE_PROCESSOR >
sl::func::schaffer2< T, T_INPUT_PRE_PROCESSOR >
sl::func::schubert< T, T_INPUT_PRE_PROCESSOR >
sl::func::schwefel_1_2< T, T_INPUT_PRE_PROCESSOR >
sl::func::schwefel_2_21< T, T_INPUT_PRE_PROCESSOR >
sl::func::schwefel_2_22< T, T_INPUT_PRE_PROCESSOR >
sl::func::schwefel_2_26< T, T_INPUT_PRE_PROCESSOR >
sl::func::selective_id_accessor
tool::seq_rand_access< T, SEQ_T >
sl::sequence_mean_determiner< T >Determines the mean value of sequence
sl::func::sequence_operator
fio::sequence_reader
sl::sequence_variance_determinerDetermines the variance (by given mean) of sequence
fio::sequence_writerPrints the form "(x [0], x [1], ..., x [n])"
sl::func::shekels_family< T, T_INPUT_PRE_PROCESSOR >
sl::func::shekels_foxholes< T, T_INPUT_PRE_PROCESSOR >
sl::func::shekels_foxholes_old< T, T_INPUT_PRE_PROCESSOR >
sl::sigmoidal< T >
sl::simulated_annealing_particle_state_controller
sl::singularity_clustering< T >
sl::SIR_generic_distribution_operator< T_DISTRIBUTION, T_DISTRIBUTION_ADAPTOR, T_ACCESSOR >
sl::sir_posterior_processor
sl::sir_sample_set_controller< T_WEIGHT_CALCULATOR >
sl::SIR_static_generic_distribution_operator< T_DISTRIBUTION, T_ACCESSOR >
sl::sir_weight_calculator
sl::func::six_hump_camel_back< T, T_INPUT_PRE_PROCESSOR >
ga::size_as_max_value< T_have_size_function >
sl::size_as_max_value< T_have_size_function >
sl::social_update_particle_state_controller
sl::func::sphere< T, T_INPUT_PRE_PROCESSOR >
fio::squence_loader
sl::state_acc
sl::func::state_processor< T, T_ASSIGNER, T_MAPPING >
sl::propagator::std_swarm_propagator
sl::func::step< T, T_INPUT_PRE_PROCESSOR >
sl::stratified_resampler
sl::student_t_distribution< T >
sl::func::subtract
sl::func::subtraction< T_result, T_left, T_right >
sl::func::subtraction_assignment
sl::func::sum_different_power< T, T_INPUT_PRE_PROCESSOR >
sl::swarm< T_PARAMETER, T_FITNESS >
sl::swarm_mt_reactor
sl::propagator::swarm_propagator
sl::swarm_reactor
pa::symbol_set_op
sl::func::symm_exp< T >
sl::func::symmetric_multiplied_rastrigin< T, T_INPUT_PRE_PROCESSOR >
sl::func::symmetric_multiplied_sphere< T >
sl::vision::parameterizer::T< T >
sl::func::table_cf< T >
sl::tanh_sigmoid< T >
sl::testing_framework< T >
text_output_widget
timings_t
sl::vision::parameterizer::TR< T >
sl::vision::parameterizer::TRf< T >
sl::vision::TRf_estimator< T >
sl::unary
unified_camera_estimator_post_reactor< T >
unified_camera_estimator_reactor< T >
sl::uniform_hypersphere< T >
sl::uniform_real_Nd< T >
sl::propagator::unimodal_adaptation< T_PARAMETER, T_PARTICLE_POST_PROCESSOR >
sl::unimodal_optimizer1d< T >
sl::vision::parameterizer::unity_fTRf< T >
sl::vision::parameterizer::unity_TRf< T >
sl::func::universal_tm< T >
ga::universe
sl::func::utm_state_transition
ga::variance_trusty_mutation_operator
vector
sl::vector< T, T_TRANSLATOR >
sl::vector_extractor
sl::vector_view< T_VECTOR >
sl::vector_view_acc
sl::weak_particle_reallocator
sl::weibull_distribution< T >
sl::weighted_distribution_sum< T_DENSITY >
sl::weighted_sum_activator< T_ACTIVATING_FUNCTION >
sl::nnc::XBF_kernel< T >
sl::func::zakharov< T, T_INPUT_PRE_PROCESSOR >
sl::func::zeldasine< T, T_INPUT_PRE_PROCESSOR >
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