Uses of Class
net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAADFactory

Packages that use RandomVariableDifferentiableAADFactory

Package	Description
net.finmath.montecarlo.automaticdifferentiation.backward	Provides the implementation of backward automatic differentiation.

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

Methods in net.finmath.montecarlo.automaticdifferentiation.backward that return RandomVariableDifferentiableAADFactory

Modifier and Type	Method	Description
RandomVariableDifferentiableAADFactory	RandomVariableDifferentiableAAD.getFactory()

Constructors in net.finmath.montecarlo.automaticdifferentiation.backward with parameters of type RandomVariableDifferentiableAADFactory

Modifier	Constructor	Description
	RandomVariableDifferentiableAAD(RandomVariable values, List<net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD.OperatorTreeNode> argumentOperatorTreeNodes, List<RandomVariable> argumentValues, ConditionalExpectationEstimator estimator, net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD.OperatorType operator, RandomVariableDifferentiableAADFactory factory, int methodArgumentTypePriority)
	RandomVariableDifferentiableAAD(RandomVariable values, List<RandomVariable> arguments, ConditionalExpectationEstimator estimator, net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD.OperatorType operator, RandomVariableDifferentiableAADFactory factory)
	RandomVariableDifferentiableAAD(RandomVariable values, List<RandomVariable> arguments, ConditionalExpectationEstimator estimator, net.finmath.montecarlo.automaticdifferentiation.backward.RandomVariableDifferentiableAAD.OperatorType operator, RandomVariableDifferentiableAADFactory factory, int methodArgumentTypePriority)
	RandomVariableDifferentiableAAD(RandomVariable values, RandomVariableDifferentiableAADFactory factory)