/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADPathwise.java
private List<OperatorTreeNode> arguments;
private final List<OperatorTreeNode> arguments;
STDEV, STDERROR, SVARIANCE, AVERAGE2, VARIANCE2, STDEV2, STDERROR2 } private static class OperatorTreeNode { private final Long id; private final OperatorType operator; <extra_id_0> private final List<RandomVariable> argumentValues; OperatorTreeNode(final OperatorType operator, final List<RandomVariable> arguments) { this(operator, arguments != null ? arguments.stream().map(new Function<RandomVariable, OperatorTreeNode>() { @Override public OperatorTreeNode apply(final RandomVariable x) {