ad
Automatic Forward Differentiation
Select category:
pow
Not implemented.
Testscript for the gradient algebra implemented by the package AD
Evaluate F for a given input X and compute the jacobian, such that
Create a gradient with value X and derivative `eye'(`numel'(X))
Return 1 if X is a gradient, otherwise return 0
Query or set the storage mode for AD.
overloads built-in mapper `abs' for a gradient X
overloads built-in mapper `acos' for a gradient X
overloads built-in mapper `acosh' for a gradient X
overloads built-in mapper `asin' for a gradient X
overloads built-in mapper `asinh' for a gradient X
overloads built-in mapper `atan' for a gradient X
overloads built-in mapper `atanh' for a gradient X
overloads built-in mapper `conj' for a gradient X
overloads built-in mapper `cos' for a gradient X
overloads built-in mapper `cosh' for a gradient X
overloads mapping function `cot' for a gradient X
overloads built-in function `cumprod' for a gradient X
overloads built-in function `cumsum' for a gradient X
overloads built-in mapper `exp' for a gradient X
overloads built-in function `find' for a gradient X
overloads built-in mapper `imag' for a gradient X
overloads built-in mapper `log' for a gradient X
overloads built-in mapper `log10' for a gradient X
overloads built-in function `prod' for a gradient X
overloads built-in mapper `real' for a gradient X
overloads built-in mapper `sin' for a gradient X
overloads built-in mapper `sinh' for a gradient X
overloads built-in mapper `sqrt' for a gradient X
overloads built-in function `sum' for a gradient X
overloads built-in mapper `tan' for a gradient X
overloads built-in mapper `tanh' for a gradient X