/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/RandomVariableDifferentiableAAD.java
derivative = derivative.div( epsilon) ;derivative = derivative.average( ) ;
derivative = derivative.average ( ) ;
final Long argumentID = argument.id; final RandomVariable partialDerivative = getPartialDerivative(argument, argumentIndex); RandomVariable derivative = derivatives.get(id); RandomVariable argumentDerivative = derivatives.get(argumentID); switch(operatorType) { case AVERAGE: <extra_id_0> break; case CONDITIONAL_EXPECTATION: final ConditionalExpectationEstimator estimator = (ConditionalExpectationEstimator)operator; derivative = estimator.getConditionalExpectation(derivative); break; case CHOOSE: