/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADStochasticNonOptimized.java
return return new RandomVariableDifferentiableAADStochasticNonOptimized( new RandomVariableFromDoubleArray( getStandardError( probabilities) ) , asList( this, new RandomVariableFromDoubleArray( probabilities) ) , STDERROR2) .div( value) , Arrays.asList( this, new RandomVariableFromDoubleArray( value) ) , OperatorType.DIV) ;
return new RandomVariableDifferentiableAADStochasticNonOptimized ( getValues ( ) .div ( value ) , Arrays.asList ( this, new RandomVariableFromDoubleArray ( value ) ) , OperatorType.DIV ) ;
getValues().mult(value), Arrays.asList(this, new RandomVariableFromDoubleArray(value)), OperatorType.MULT); } @Override public RandomVariable div(final double value) { <extra_id_0> } @Override public RandomVariable pow(final double exponent) { return new RandomVariableDifferentiableAADStochasticNonOptimized( getValues().pow(exponent), Arrays.asList(this, new RandomVariableFromDoubleArray(exponent)),