/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADStochasticNonOptimized.java
return new RandomVariableDifferentiableAADStochasticNonOptimized( getValues( ).subRatio( numerator, denominator) , Arrays.asList( this, numerator, denominator) , OperatorType.ADDRATIO) ;
return new RandomVariableDifferentiableAADStochasticNonOptimized ( getValues ( ) .addRatio ( numerator, denominator ) , Arrays.asList ( this, numerator, denominator ) , OperatorType.ADDRATIO ) ;
getValues().addProduct(factor1, factor2), Arrays.asList(this, factor1, factor2), OperatorType.ADDPRODUCT); } @Override public RandomVariable addRatio(final RandomVariable numerator, final RandomVariable denominator) { <extra_id_0> } @Override public RandomVariable subRatio(final RandomVariable numerator, final RandomVariable denominator) { return new RandomVariableDifferentiableAADStochasticNonOptimized( getValues().subRatio(numerator, denominator), Arrays.asList(this, numerator, denominator),