| _classname_() | PLearn::Object | [static] |
| _getOptionList_() | PLearn::Object | [static] |
| _isa_(Object *o) | PLearn::Object | [static] |
| _new_instance_for_typemap_() | PLearn::Object | [static] |
| _static_initialize_() | PLearn::Object | [static] |
| _static_initializer_ | PLearn::Object | [static] |
| addMeasurer(Measurer &measurer) | PLearn::Optimizer | |
| build() | PLearn::ConjGradientOptimizer | [inline, virtual] |
| build_() | PLearn::ConjGradientOptimizer | [private] |
| call(const string &methodname, int nargs, PStream &in_parameters, PStream &out_results) | PLearn::Object | [virtual] |
| changeOption(const string &optionname, const string &value) | PLearn::Object | |
| changeOptions(const map< string, string > &name_value) | PLearn::Object | [virtual] |
| classname() const | PLearn::Object | [virtual] |
| collectGradientStats(Vec gradient) | PLearn::Optimizer | |
| compute_cost | PLearn::ConjGradientOptimizer | |
| computeCostAndDerivative(real alpha, ConjGradientOptimizer *opt, real &cost, real &derivative) | PLearn::ConjGradientOptimizer | [private, static] |
| computeCostValue(real alpha, ConjGradientOptimizer *opt) | PLearn::ConjGradientOptimizer | [private, static] |
| computeDerivative(real alpha, ConjGradientOptimizer *opt) | PLearn::ConjGradientOptimizer | [private, static] |
| computeGradient(Optimizer *opt, const Vec &gradient) | PLearn::Optimizer | [static] |
| computeOppositeGradient(Optimizer *opt, const Vec &gradient) | PLearn::Optimizer | [static] |
| computeRepartition(Vec v, int n, real mini, real maxi, Vec res, int &noutliers) | PLearn::Optimizer | |
| ConjGradientOptimizer(real the_starting_step_size=0.01, real the_restart_coeff=0.2, real the_epsilon=0.01, real the_sigma=0.01, real the_rho=0.005, real the_fmax=-1e8, real the_stop_epsilon=0.0001, real the_tau1=9, real the_tau2=0.1, real the_tau3=0.5, int n_updates=1, const string &filename="", int every_iterations=1) | PLearn::ConjGradientOptimizer | |
| ConjGradientOptimizer(VarArray the_params, Var the_cost, real the_starting_step_size=0.01, real the_restart_coeff=0.2, real the_epsilon=0.01, real the_sigma=0.01, real the_rho=0.005, real the_fmax=0, real the_stop_epsilon=0.0001, real the_tau1=9, real the_tau2=0.1, real the_tau3=0.5, int n_updates=1, const string &filename="", int every_iterations=1) | PLearn::ConjGradientOptimizer | |
| ConjGradientOptimizer(VarArray the_params, Var the_cost, VarArray the_update_for_measure, real the_starting_step_size=0.01, real the_restart_coeff=0.2, real the_epsilon=0.01, real the_sigma=0.01, real the_rho=0.005, real the_fmax=0, real the_stop_epsilon=0.0001, real the_tau1=9, real the_tau2=0.1, real the_tau3=0.5, int n_updates=1, const string &filename="", int every_iterations=1) | PLearn::ConjGradientOptimizer | |
| conjpomdp(void(*grad)(Optimizer *, const Vec &gradient), ConjGradientOptimizer *opt) | PLearn::ConjGradientOptimizer | [private, static] |
| cost | PLearn::Optimizer | |
| cubicInterpol(real f0, real f1, real g0, real g1, real &a, real &b, real &c, real &d) | PLearn::ConjGradientOptimizer | [private, static] |
| current_opp_gradient | PLearn::ConjGradientOptimizer | [private] |
| current_step_size | PLearn::ConjGradientOptimizer | [private] |
| daiYuan(void(*grad)(Optimizer *, const Vec &), ConjGradientOptimizer *opt) | PLearn::ConjGradientOptimizer | [private, static] |
| daiYuanMain(Vec new_gradient, Vec old_gradient, Vec old_search_direction, Vec tmp_storage) | PLearn::ConjGradientOptimizer | [private, static] |
| declareOptions(OptionList &ol) | PLearn::ConjGradientOptimizer | [protected, static] |
| deepCopy(CopiesMap &copies) const | PLearn::Object | [virtual] |
| delta | PLearn::ConjGradientOptimizer | [private] |
| early_stop | PLearn::Optimizer | |
| early_stop_i | PLearn::Optimizer | |
| epsilon | PLearn::ConjGradientOptimizer | |
| every | PLearn::Optimizer | |
| filename | PLearn::Optimizer | [protected] |
| find_new_direction_formula | PLearn::ConjGradientOptimizer | |
| findDirection() | PLearn::ConjGradientOptimizer | [private] |
| findMinWithCubicInterpol(real p1, real p2, real mini, real maxi, real f0, real f1, real g0, real g1) | PLearn::ConjGradientOptimizer | [private, static] |
| findMinWithQuadInterpol(int q, real sum_x, real sum_x_2, real sum_x_3, real sum_x_4, real sum_c_x_2, real sum_g_x, real sum_c_x, real sum_c, real sum_g) | PLearn::ConjGradientOptimizer | [private, static] |
| fletcherReeves(void(*grad)(Optimizer *, const Vec &), ConjGradientOptimizer *opt) | PLearn::ConjGradientOptimizer | [private, static] |
| fletcherSearch(real mu=FLT_MAX) | PLearn::ConjGradientOptimizer | [private] |
| fletcherSearchMain(real(*f)(real, ConjGradientOptimizer *opt), real(*g)(real, ConjGradientOptimizer *opt), ConjGradientOptimizer *opt, real sigma, real rho, real fmax, real epsilon, real tau1=9, real tau2=0.1, real tau3=0.5, real alpha1=FLT_MAX, real mu=FLT_MAX) | PLearn::ConjGradientOptimizer | [private, static] |
| fmax | PLearn::ConjGradientOptimizer | |
| getOption(const string &optionname) const | PLearn::Object | |
| getOptionList() const | PLearn::Object | [virtual] |
| getOptionsToSave() const | PLearn::Object | [virtual] |
| gSearch(void(*grad)(Optimizer *, const Vec &)) | PLearn::ConjGradientOptimizer | [private] |
| hestenesStiefel(void(*grad)(Optimizer *, const Vec &), ConjGradientOptimizer *opt) | PLearn::ConjGradientOptimizer | [private, static] |
| info() const | PLearn::Object | [virtual] |
| inherited typedef | PLearn::ConjGradientOptimizer | [private] |
| init() | PLearn::Optimizer | [inline, virtual] |
| initial_step | PLearn::ConjGradientOptimizer | |
| last_cost | PLearn::ConjGradientOptimizer | [private] |
| last_improvement | PLearn::ConjGradientOptimizer | [private] |
| line_search_algo | PLearn::ConjGradientOptimizer | |
| lineSearch() | PLearn::ConjGradientOptimizer | [private] |
| load(const string &filename) | PLearn::Object | [virtual] |
| low_enough | PLearn::ConjGradientOptimizer | |
| makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::ConjGradientOptimizer | [inline, virtual] |
| PLearn::Optimizer::makeDeepCopyFromShallowCopy(map< const void *, void * > &copies) | PLearn::Optimizer | [virtual] |
| max_steps | PLearn::ConjGradientOptimizer | |
| meancost | PLearn::ConjGradientOptimizer | [protected] |
| measure(int t, const Vec &costs) | PLearn::Optimizer | [virtual] |
| measurers | PLearn::Optimizer | [protected] |
| minCubic(real a, real b, real c, real mini=-FLT_MAX, real maxi=FLT_MAX) | PLearn::ConjGradientOptimizer | [private, static] |
| minQuadratic(real a, real b, real mini=-FLT_MAX, real maxi=FLT_MAX) | PLearn::ConjGradientOptimizer | [private, static] |
| newread(PStream &in) | PLearn::Object | |
| newtonSearch(int max_steps, real initial_step, real low_enough) | PLearn::ConjGradientOptimizer | [private] |
| newwrite(PStream &out) const | PLearn::Object | |
| nstages | PLearn::Optimizer | |
| nupdates | PLearn::Optimizer | |
| Object() | PLearn::Object | |
| oldread(istream &in) | PLearn::Optimizer | [virtual] |
| oldwrite(ostream &out) const | PLearn::Optimizer | [virtual] |
| optimize() | PLearn::ConjGradientOptimizer | [virtual] |
| optimizeN(VecStatsCollector &stat_coll) | PLearn::ConjGradientOptimizer | [virtual] |
| Optimizer(int n_updates=1, const string &file_name="", int every_iterations=1) | PLearn::Optimizer | |
| Optimizer(VarArray the_params, Var the_cost, int n_updates=1, const string &file_name="", int every_iterations=1) | PLearn::Optimizer | |
| Optimizer(VarArray the_params, Var the_cost, VarArray the_update_for_measure, int n_updates=1, const string &file_name="", int every_iterations=1) | PLearn::Optimizer | |
| params | PLearn::Optimizer | |
| PLEARN_DECLARE_ABSTRACT_OBJECT(Optimizer) | PLearn::Optimizer | |
| PLEARN_DECLARE_OBJECT(ConjGradientOptimizer) | PLearn::ConjGradientOptimizer | |
| polakRibiere(void(*grad)(Optimizer *, const Vec &), ConjGradientOptimizer *opt) | PLearn::ConjGradientOptimizer | [private, static] |
| PPointable() | PLearn::PPointable | [inline] |
| PPointable(const PPointable &other) | PLearn::PPointable | [inline] |
| prepareToSendResults(PStream &out, int nres) | PLearn::Object | [inline, protected] |
| print(ostream &out) const | PLearn::Object | [virtual] |
| printStep(ostream &ostr, int step, real mean_cost, string sep="\t") | PLearn::ConjGradientOptimizer | [inline, protected, virtual] |
| proppath | PLearn::Optimizer | |
| quadraticInterpol(real f0, real f1, real g0, real &a, real &b, real &c) | PLearn::ConjGradientOptimizer | [private, static] |
| read(istream &in) | PLearn::Object | [virtual] |
| readOptionVal(PStream &in, const string &optionname) | PLearn::Object | |
| ref() const | PLearn::PPointable | [inline] |
| reset() | PLearn::ConjGradientOptimizer | [virtual] |
| restart_coeff | PLearn::ConjGradientOptimizer | |
| rho | PLearn::ConjGradientOptimizer | |
| run() | PLearn::Object | [virtual] |
| save(const string &filename) const | PLearn::Object | [virtual] |
| search_direction | PLearn::ConjGradientOptimizer | [private] |
| setOption(const string &optionname, const string &value) | PLearn::Object | |
| setToOptimize(VarArray the_params, Var the_cost) | PLearn::Optimizer | [virtual] |
| setVarArrayOption(const string &optionname, VarArray value) | PLearn::Optimizer | [virtual] |
| setVarOption(const string &optionname, Var value) | PLearn::Optimizer | [virtual] |
| setVMatOption(const string &optionname, VMat value) | PLearn::Optimizer | [virtual] |
| sigma | PLearn::ConjGradientOptimizer | |
| stage | PLearn::Optimizer | |
| starting_step_size | PLearn::ConjGradientOptimizer | |
| stop_epsilon | PLearn::ConjGradientOptimizer | |
| tau1 | PLearn::ConjGradientOptimizer | |
| tau2 | PLearn::ConjGradientOptimizer | |
| tau3 | PLearn::ConjGradientOptimizer | |
| tmp_storage | PLearn::ConjGradientOptimizer | [private] |
| unref() const | PLearn::PPointable | [inline] |
| update_for_measure | PLearn::Optimizer | |
| updateSearchDirection(real gamma) | PLearn::ConjGradientOptimizer | [private] |
| usage() const | PLearn::PPointable | [inline] |
| verifyGradient(real minval, real maxval, real step) | PLearn::Optimizer | |
| verifyGradient(real step) | PLearn::Optimizer | |
| vlog | PLearn::Optimizer | |
| write(ostream &out) const | PLearn::Object | [virtual] |
| writeOptionVal(PStream &out, const string &optionname) const | PLearn::Object | |
| ~Object() | PLearn::Object | [virtual] |
| ~Optimizer() | PLearn::Optimizer | [virtual] |
| ~PPointable() | PLearn::PPointable | [inline, virtual] |
