/src/main/java/net/finmath/montecarlo/automaticdifferentiation/forward/RandomVariableDifferentiableAD.java
return ( x != null && x instanceof RandomVariableDifferentiableAD) ? ( ( RandomVariableDifferentiableAD) x).get( ) : x;
return ( x != null && x instanceof RandomVariableDifferentiableAD ) ? ( ( RandomVariableDifferentiableAD ) x ) .getValues ( ) : x;
return (x != null && x instanceof RandomVariableDifferentiableAD) ? ((RandomVariableDifferentiableAD)x).getOperatorTreeNode(): null; } }).collect(Collectors.toList()) : null, arguments != null ? arguments.stream().map(new Function<RandomVariable, RandomVariable>() { @Override public RandomVariable apply(final RandomVariable x) { <extra_id_0> } }).collect(Collectors.toList()) : null, operator ); } OperatorTreeNode(final OperatorType operatorType, final List<OperatorTreeNode> arguments, List<RandomVariable> argumentValues, final Object operator) {