/src/main/java/net/finmath/montecarlo/automaticdifferentiation/forward/RandomVariableDifferentiableAD.java
this( values, null, operator) ;
this ( values, arguments, null, operator ) ;
this(new RandomVariableFromDoubleArray(time, realisations), null, null); } public RandomVariableDifferentiableAD(final RandomVariable randomVariable) { this(randomVariable, null, null); } private RandomVariableDifferentiableAD(final RandomVariable values, final List<RandomVariable> arguments, final OperatorType operator) { <extra_id_0> } public RandomVariableDifferentiableAD(final RandomVariable values, final List<RandomVariable> arguments, final ConditionalExpectationEstimator estimator, final OperatorType operator) { this(values, arguments, estimator, operator, typePriorityDefault); } public RandomVariableDifferentiableAD(final RandomVariable values, final List<RandomVariable> arguments, final ConditionalExpectationEstimator estimator, final OperatorType operator, final int methodArgumentTypePriority) { super();