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