Uses of Interface
net.finmath.functions.DoubleTernaryOperator

Packages that use DoubleTernaryOperator

Package	Description
net.finmath.montecarlo	Provides basic interfaces and classes used in Monte-Carlo models (like LIBOR market model or Monte-Carlo simulation of a Black-Scholes model), e.g., the Monte-Carlo random variable and the Brownian motion.
net.finmath.montecarlo.automaticdifferentiation.backward	Provides the implementation of backward automatic differentiation.
net.finmath.montecarlo.automaticdifferentiation.backward.alternative	Provides alternative implementation of backward automatic differentiation.
net.finmath.montecarlo.automaticdifferentiation.forward	Provides the implementation of forward automatic differentiation.
net.finmath.stochastic	Interfaces specifying operations on random variables.

Uses of DoubleTernaryOperator in net.finmath.montecarlo

Methods in net.finmath.montecarlo with parameters of type DoubleTernaryOperator

Modifier and Type	Method	Description
RandomVariable	RandomVariableFromDoubleArray.apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2)
RandomVariable	RandomVariableFromFloatArray.apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2)
RandomVariable	RandomVariableLazyEvaluation.apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2)

Uses of DoubleTernaryOperator in net.finmath.montecarlo.automaticdifferentiation.backward

Methods in net.finmath.montecarlo.automaticdifferentiation.backward with parameters of type DoubleTernaryOperator

Modifier and Type	Method	Description
RandomVariable	RandomVariableDifferentiableAAD.apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2)

Uses of DoubleTernaryOperator in net.finmath.montecarlo.automaticdifferentiation.backward.alternative

Methods in net.finmath.montecarlo.automaticdifferentiation.backward.alternative with parameters of type DoubleTernaryOperator

Modifier and Type	Method	Description
RandomVariable	RandomVariableAAD.apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2)
RandomVariable	RandomVariableDifferentiableAADPathwise.apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2)
RandomVariable	RandomVariableDifferentiableAADStochasticNonOptimized.apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2)
RandomVariable	RandomVariableUniqueVariable.apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2)

Uses of DoubleTernaryOperator in net.finmath.montecarlo.automaticdifferentiation.forward

Methods in net.finmath.montecarlo.automaticdifferentiation.forward with parameters of type DoubleTernaryOperator

Modifier and Type	Method	Description
RandomVariable	RandomVariableDifferentiableAD.apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2)

Uses of DoubleTernaryOperator in net.finmath.stochastic

Methods in net.finmath.stochastic with parameters of type DoubleTernaryOperator

Modifier and Type	Method	Description
RandomVariable	RandomVariable.apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2)	Applies x → operator(x,y,z) to this random variable, where x is this random variable and y and z are given random variable.
RandomVariable	RandomVariableArrayImplementation.apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2)
RandomVariable	Scalar.apply(DoubleTernaryOperator operator, RandomVariable argument1, RandomVariable argument2)