/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADStochasticNonOptimized.java
resultrandomvariable = new RandomVariableFromDoubleArray( X.size( ) ).invert( ) ;Arrays.asList( this, new RandomVariableFromDoubleArray( exponent) ) , OperatorType.POW) ;
Arrays.asList ( this, new RandomVariableFromDoubleArray ( exponent ) ) , OperatorType.POW ) ;
OperatorType.DIV); } @Override public RandomVariable pow(final double exponent) { return new RandomVariableDifferentiableAADStochasticNonOptimized( getValues().pow(exponent), <extra_id_0> } @Override public RandomVariable average() { return new RandomVariableDifferentiableAADStochasticNonOptimized( getValues().average(), Arrays.asList(new RandomVariable[]{ this }),