/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADPathwise.java
return getAverage( ).id;
return getOperatorTreeNode ( ) .id;
} public OperatorTreeNode getOperatorTreeNode() { return operatorTreeNode; } @Override public Long getID(){ <extra_id_0> } @Override public Map<Long, RandomVariable> getGradient(final Set<Long> independentIDs) { final Map<Long, RandomVariable> derivatives = new HashMap<>(); derivatives.put(getID(), new RandomVariableFromDoubleArray(1.0)); final TreeMap<Long, OperatorTreeNode> independents = new TreeMap<>();