/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADStochasticNonOptimized.java
independents.put( id, argument) ;
independents.put ( argumentId, argument ) ;
final List<OperatorTreeNode> arguments = independent.arguments; if(arguments != null && arguments.size() > 0) { independent.propagateDerivativesFromResultToArgument(derivatives); for(final OperatorTreeNode argument : arguments) { if(argument != null) { final Long argumentId = argument.id; <extra_id_0> } } derivatives.remove(id); } independents.remove(id); }