QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.32
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MCHimalayaEngine< RNG, S > Member List

This is the complete list of members for MCHimalayaEngine< RNG, S >, including all inherited members.

antitheticVariate_McSimulation< MC, RNG, S >protected
arguments_GenericEngine< HimalayaOption::arguments, HimalayaOption::results >mutableprotected
brownianBridge_MCHimalayaEngine< RNG, S >private
calculate() const overrideMCHimalayaEngine< RNG, S >virtual
QuantLib::McSimulation::calculate(Real requiredTolerance, Size requiredSamples, Size maxSamples) constMcSimulation< MC, RNG, S >
controlPathGenerator() constMcSimulation< MC, RNG, S >protectedvirtual
controlPathPricer() constMcSimulation< MC, RNG, S >protectedvirtual
controlPricingEngine() constMcSimulation< MC, RNG, S >protectedvirtual
controlVariate_McSimulation< MC, RNG, S >protected
controlVariateValue() constMcSimulation< MC, RNG, S >protectedvirtual
deepUpdate()Observervirtual
errorEstimate() constMcSimulation< MC, RNG, S >
getArguments() const overrideGenericEngine< HimalayaOption::arguments, HimalayaOption::results >virtual
getResults() const overrideGenericEngine< HimalayaOption::arguments, HimalayaOption::results >virtual
QuantLib::iterator typedefObservableprivate
QuantLib::Observer::iterator typedefObserver
maxError(const Sequence &sequence)McSimulation< MC, RNG, S >protectedstatic
maxError(Real error)McSimulation< MC, RNG, S >protectedstatic
maxSamples_MCHimalayaEngine< RNG, S >private
MCHimalayaEngine(ext::shared_ptr< StochasticProcessArray >, bool brownianBridge, bool antitheticVariate, Size requiredSamples, Real requiredTolerance, Size maxSamples, BigNatural seed)MCHimalayaEngine< RNG, S >
mcModel_McSimulation< MC, RNG, S >mutableprotected
McSimulation(bool antitheticVariate, bool controlVariate)McSimulation< MC, RNG, S >protected
notifyObservers()Observable
Observable()Observable
Observable(const Observable &)Observable
Observable(Observable &&)=deleteObservable
observables_Observerprivate
Observer()=defaultObserver
QuantLib::Observer::Observer(const Observer &)Observer
observers_Observableprivate
QuantLib::operator=(const Observable &)Observable
QuantLib::operator=(Observable &&)=deleteObservable
QuantLib::Observer::operator=(const Observer &)Observer
path_generator_type typedefMCHimalayaEngine< RNG, S >
path_pricer_type typedefMCHimalayaEngine< RNG, S >
pathGenerator() const overrideMCHimalayaEngine< RNG, S >privatevirtual
pathPricer() const overrideMCHimalayaEngine< RNG, S >privatevirtual
processes_MCHimalayaEngine< RNG, S >private
registerObserver(Observer *)Observableprivate
registerWith(const ext::shared_ptr< Observable > &)Observer
registerWithObservables(const ext::shared_ptr< Observer > &)Observer
requiredSamples_MCHimalayaEngine< RNG, S >private
requiredTolerance_MCHimalayaEngine< RNG, S >private
reset() overrideGenericEngine< HimalayaOption::arguments, HimalayaOption::results >virtual
result_type typedefMcSimulation< MC, RNG, S >
results_GenericEngine< HimalayaOption::arguments, HimalayaOption::results >mutableprotected
sampleAccumulator() constMcSimulation< MC, RNG, S >
seed_MCHimalayaEngine< RNG, S >private
QuantLib::set_type typedefObservableprivate
stats_type typedefMCHimalayaEngine< RNG, S >
timeGrid() const overrideMCHimalayaEngine< RNG, S >privatevirtual
unregisterObserver(Observer *)Observableprivate
unregisterWith(const ext::shared_ptr< Observable > &)Observer
unregisterWithAll()Observer
update() overrideGenericEngine< HimalayaOption::arguments, HimalayaOption::results >virtual
value(Real tolerance, Size maxSamples=QL_MAX_INTEGER, Size minSamples=1023) constMcSimulation< MC, RNG, S >
valueWithSamples(Size samples) constMcSimulation< MC, RNG, S >
~McSimulation()=defaultMcSimulation< MC, RNG, S >virtual
~Observable()=defaultObservablevirtual
~Observer()Observervirtual
~PricingEngine() override=defaultPricingEngine