/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/RandomVariableDifferentiableAAD.java
private OperatorType operatorType;
private final OperatorType operatorType;
STDEV, STDERROR, SVARIANCE, AVERAGE2, VARIANCE2, STDEV2, STDERROR2, CONDITIONAL_EXPECTATION } private static class OperatorTreeNode implements Serializable { private static final long serialVersionUID = -8428352552169568990L; private final Long id; <extra_id_0> private final List<OperatorTreeNode> arguments; private final List<RandomVariable> argumentValues; private final Object operator; private final RandomVariableDifferentiableAADFactory factory; private static final RandomVariable zero = new Scalar(0.0); private static final RandomVariable one = new Scalar(1.0);