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Structural Bioinformatics Library
Template C++ / Python API for developping structural bioinformatics applications.
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Classes | |
class | T_Acceptance_test_module< ModuleTraits > |
Module for checking if a sample is accepted duringthe explorer algorithm. More... | |
class | T_Euclidean_distance< ELSampleType, NumberType > |
Euclidean distance between two conformations. More... | |
class | T_Lrmsd_distance< ELSampleType, NumberType > |
Least RMSD between two conformations. More... | |
class | T_Himmelbleau_function_traits |
Traits class defining the Himmelbleau function and its gradient. More... | |
class | T_Rastrigin_function_traits< NumberType > |
Traits class defining the Rastrigin function and its gradient. More... | |
class | T_Monkey_function_traits< NumberType > |
Traits class defining the Monkey function (function with a monkey saddle) and its gradient. More... | |
class | T_Peaks_function_traits< NumberType > |
Traits class defining the Peaks function and its gradient. More... | |
class | T_PeaksE_function_traits< NumberType > |
Traits class defining the PeaksE function and its gradient. More... | |
class | T_Gauss6A_function_traits< NumberType > |
Traits class defining a mixture of gaussians and its gradient. More... | |
class | T_Gauss6B_function_traits< NumberType > |
Traits class defining a mixture of gaussians and its gradient. More... | |
class | T_Trigo_terrain_function_traits< NumberType > |
Traits class defining a complex function example and its gradient. More... | |
class | T_Exploration_algorithm_basins_hopping< ELSampleType, SampleSelector, SampleExtender > |
Model of exploration algorithm for basins hopping. More... | |
class | T_Sample_selector_for_BH< ELSampleType, SampleRandomGenerator > |
Model of selector engine for BH. More... | |
class | T_Sample_extender_for_BH< ELSampleType, Quencher > |
Model of extender engine for BH. More... | |
class | T_Sample_selector_hybrid_for_BH< SampleSelectorBH, SampleSelectorHybridizer > |
Model of selector engine for hybridizing basins hopping. More... | |
class | T_Sample_selector_for_BH_with_energy_filter< ELSampleType, SampleRandomGenerator, IsLowerSample > |
Model of selector engine for BH using energy filters. More... | |
class | T_Sample_extender_for_BH_with_energy_filter< ELSampleType, Quencher > |
Model of extender engine for BH using the energy filter of the selector. More... | |
class | T_Sample_selector_for_stratified< SampleSelectorBase > |
Model of selector engine with several layers of selectors. More... | |
class | T_Exploration_algorithm_TRRT< ELSampleType, SampleSelector, SampleExtender > |
Model of exploration algorithm for TRRT. More... | |
class | T_Sample_selector_for_TRRT< ELSampleType, SampleRandomGenerator, SearchEngine > |
Model of selector engine for TRRT. More... | |
class | T_Sample_extender_for_TRRT< ELSampleType > |
Model of extender engine for TRRT. More... | |
class | T_Exploration_algorithm_TRRT_with_quench< ELSampleType, SampleSelector, SampleExtender, IsLowerSample, Quencher > |
Model of exploration algorithm for TRRT where samples are quenched before inserted. More... | |
class | T_Sample_extender_for_TRRT_with_Voronoi_extender< ELSampleType > |
Model of extender engine for TRRT with the insurance the extended point belongs to the Voronoi cell of the selected conformation. More... | |
class | T_Exploration_parameters_default< NumberType, Distance > |
Default representation of the parameters of the exploration algorithm. More... | |
class | T_Exploration_parameters_with_layers< NumberType, Distance > |
Representation of the parameters of the exploration algorithm by layers. More... | |
class | T_Exploration_parameters_with_reinit< ExplorationParametersBase > |
Representation of the parameters with a reinitialization of temperature and displace delta in a fixed interval. More... | |
class | T_Exploration_parameters_with_memory< ExplorationParametersBase, ELSampleRep > |
Representation of the parameters with a map from the samples of the algorithm database to the value of the parameters when the corresponding sample was inserted. More... | |
class | T_Exploration_parameters_with_sample_map< ExplorationParametersBase, ELSampleType, ELSampleRep > |
Representation of the parameters with a map from the samples to their representation in the database of the algorithm. More... | |
class | T_Exploration_parameters_update_module< ModuleTraits > |
Module for tuning the exploration parameters after the acceptance test. More... | |
class | T_Landscape_explorer_traits< ExplorationAlgorithm, ExplorationParameters, DistanceFunction, QuencherSample > |
Traits class for instantiating the workflow T_Landscape_explorer_workflow. More... | |
class | T_Landscape_explorer_workflow< Traits > |
Generic workflow of Landscape_explorer for reading the command line options of the applications and running the calculations. More... | |
class | T_Metropolis_predicate< FT > |
Metropolis based predicate. More... | |
class | T_Record_new_sample_module< ModuleTraits > |
Module for recording a new sample in the exploration engine. More... | |
class | T_Sample_extender_module< ModuleTraits > |
Module for extending a selected sample using a given moveset strategy. More... | |
class | T_Sample_selector_module< ModuleTraits > |
Module for selecting a sample to extend during the explorer algorithm. More... | |
class | T_Stop_criterion_module< ModuleTraits > |
Module for checking if the explorer algorithm should stop. More... | |