/src/main/java/net/finmath/montecarlo/automaticdifferentiation/forward/RandomVariableDifferentiableAD.java
final RandomVariable partialDerivative = getPartialDerivative ( argument, argumentIndex ) ;
return; } for(int argumentIndex = 0; argumentIndex < arguments.size(); argumentIndex++) { final OperatorTreeNode argument = arguments.get(argumentIndex); if(argument != null) { final Long argumentID = argument.id; <extra_id_0> RandomVariable derivative = derivatives.get(id); RandomVariable argumentDerivative = derivatives.get(argumentID); if(operatorType == OperatorType.AVERAGE) { derivative = derivative.average(); } if(operatorType == OperatorType.CONDITIONAL_EXPECTATION) {