Uses of Class
com.github.vonrosen.quantlib.StochasticProcess

Uses of StochasticProcess in com.github.vonrosen.quantlib

Subclasses of StochasticProcess in com.github.vonrosen.quantlib

Modifier and Type	Class and Description
class	BatesProcess
class	BlackProcess
class	BlackScholesMertonProcess
class	BlackScholesProcess
class	GarmanKohlagenProcess
class	GeneralizedBlackScholesProcess
class	GeometricBrownianMotionProcess
class	GsrProcess
class	HestonProcess
class	HullWhiteProcess
class	Merton76Process
class	StochasticProcess1D
class	StochasticProcessArray
class	VarianceGammaProcess

Methods in com.github.vonrosen.quantlib that return StochasticProcess

Modifier and Type	Method and Description
StochasticProcess	StochasticProcessVector.get(int i)

Methods in com.github.vonrosen.quantlib with parameters of type StochasticProcess

Modifier and Type	Method and Description
void	StochasticProcessVector.add(StochasticProcess x)
static long	QuantLibJNI.as_gsr_process(long jarg1, StochasticProcess jarg1_)
static GsrProcess	QuantLib.as_gsr_process(StochasticProcess proc)
protected static long	StochasticProcess.getCPtr(StochasticProcess obj)
static long	QuantLibJNI.new_GaussianMultiPathGenerator__SWIG_0(long jarg1, StochasticProcess jarg1_, long jarg2, DoubleVector jarg2_, long jarg3, GaussianRandomSequenceGenerator jarg3_, boolean jarg4)
static long	QuantLibJNI.new_GaussianMultiPathGenerator__SWIG_1(long jarg1, StochasticProcess jarg1_, long jarg2, DoubleVector jarg2_, long jarg3, GaussianRandomSequenceGenerator jarg3_)
void	StochasticProcessVector.set(int i, StochasticProcess val)
static long	QuantLibJNI.StochasticProcess___deref__(long jarg1, StochasticProcess jarg1_)
static long	QuantLibJNI.StochasticProcess_asObservable(long jarg1, StochasticProcess jarg1_)
static long	QuantLibJNI.StochasticProcess_covariance(long jarg1, StochasticProcess jarg1_, double jarg2, long jarg3, Array jarg3_, double jarg4)
static long	QuantLibJNI.StochasticProcess_diffusion(long jarg1, StochasticProcess jarg1_, double jarg2, long jarg3, Array jarg3_)
static long	QuantLibJNI.StochasticProcess_drift(long jarg1, StochasticProcess jarg1_, double jarg2, long jarg3, Array jarg3_)
static long	QuantLibJNI.StochasticProcess_evolve(long jarg1, StochasticProcess jarg1_, double jarg2, long jarg3, Array jarg3_, double jarg4, long jarg5, Array jarg5_)
static long	QuantLibJNI.StochasticProcess_expectation(long jarg1, StochasticProcess jarg1_, double jarg2, long jarg3, Array jarg3_, double jarg4)
static long	QuantLibJNI.StochasticProcess_factors(long jarg1, StochasticProcess jarg1_)
static long	QuantLibJNI.StochasticProcess_initialValues(long jarg1, StochasticProcess jarg1_)
static boolean	QuantLibJNI.StochasticProcess_isNull(long jarg1, StochasticProcess jarg1_)
static long	QuantLibJNI.StochasticProcess_size(long jarg1, StochasticProcess jarg1_)
static long	QuantLibJNI.StochasticProcess_stdDeviation(long jarg1, StochasticProcess jarg1_, double jarg2, long jarg3, Array jarg3_, double jarg4)
static void	QuantLibJNI.StochasticProcessVector_add(long jarg1, StochasticProcessVector jarg1_, long jarg2, StochasticProcess jarg2_)
static void	QuantLibJNI.StochasticProcessVector_set(long jarg1, StochasticProcessVector jarg1_, int jarg2, long jarg3, StochasticProcess jarg3_)

Constructors in com.github.vonrosen.quantlib with parameters of type StochasticProcess

Constructor and Description
GaussianMultiPathGenerator(StochasticProcess process, DoubleVector times, GaussianRandomSequenceGenerator generator)
GaussianMultiPathGenerator(StochasticProcess process, DoubleVector times, GaussianRandomSequenceGenerator generator, boolean brownianBridge)