libcmaes 0.10.2
A C++11 library for stochastic optimization with CMA-ES
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libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno > Member List

This is the complete list of members for libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >, including all inherited members.

_defaultFPFunclibcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >static
_defaultPFunclibcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >static
_esolverlibcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >protected
_fplotstreamlibcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >protected
_funclibcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >protected
_funcaux (defined in libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >protected
_gfunclibcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >protected
_initial_elitistlibcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >protected
_nevalslibcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >protected
_niterlibcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >protected
_parameterslibcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >protected
_pffunclibcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >protected
_pfunclibcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >protected
_solutionslibcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >protected
_stopcriterialibcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >protected
_uhesolver (defined in libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >private
_uhgenlibcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >private
_uhunif (defined in libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >private
ask()libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >
best_solution() const (defined in libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
CMAStrategy()libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >
CMAStrategy(FitFunc &func, CMAParameters< TGenoPheno > &parameters)libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >
CMAStrategy(FitFunc &func, CMAParameters< TGenoPheno > &parameters, const CMASolutions &cmasols)libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >
edm()libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
ESOStrategy()libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >inline
ESOStrategy(FitFunc &func, TParameters &parameters)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
ESOStrategy(FitFunc &func, TParameters &parameters, const TSolutions &solutions)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
eval(const dMat &candidates, const dMat &phenocandidates=dMat(0, 0))libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
eval_candidates_uh(const dMat &candidates, const dMat &candidates_uh, std::vector< RankedCandidate > &nvcandidates, int &nfcalls)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
fitfunc(const double *x, const int N)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >inline
get_parameters()libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >inline
get_solutions()libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >inline
gradf(const dVec &x)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
gradgp(const dVec &x) constlibcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
inc_iter()libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
optimize(const EvalFunc &evalf, const AskFunc &askf, const TellFunc &tellf)libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >
optimize()libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >inline
perform_uh(const dMat &candidates, const dMat &phenocandidates, int &nfcalls)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
plot()libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >
select_candidates_uh(const dMat &candidates, const dMat &phenocandidates, dMat &candidates_uh)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
set_candidates_uh(const std::vector< RankedCandidate > &nvcandidates)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
set_gradient_func(GradFunc &gfunc)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >inline
set_initial_elitist(const bool &e) (defined in libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >inline
set_plot_func(PlotFunc< TParameters, TSolutions > &pffunc)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >inline
set_progress_func(ProgressFunc< TParameters, TSolutions > &pfunc)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >inline
start_from_solution(const TSolutions &sol)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >inline
stop()libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >
tell()libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >
tpa_update()libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
uncertainty_handling()libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
update_fevals(const int &evals)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >
~CMAStrategy() (defined in libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >)libcmaes::CMAStrategy< TCovarianceUpdate, TGenoPheno >
~ESOStrategy() (defined in libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >)libcmaes::ESOStrategy< TParameters, TSolutions, TStopCriteria >protected