D | % Evaluate @var{F} for a given input @var{x} and compute the jacobian, such that |
gradabs | % overloads built-in mapper @code{abs} for a gradient @var{x} |
gradacos | % overloads built-in mapper @code{acos} for a gradient @var{x} |
gradacosh | % overloads built-in mapper @code{acosh} for a gradient @var{x} |
gradasin | % overloads built-in mapper @code{asin} for a gradient @var{x} |
gradasinh | % overloads built-in mapper @code{asinh} for a gradient @var{x} |
gradatan | % overloads built-in mapper @code{atan} for a gradient @var{x} |
gradatanh | % overloads built-in mapper @code{atanh} for a gradient @var{x} |
gradconj | % overloads built-in mapper @code{conj} for a gradient @var{x} |
gradcos | % overloads built-in mapper @code{cos} for a gradient @var{x} |
gradcosh | % overloads built-in mapper @code{cosh} for a gradient @var{x} |
gradcot | % overloads mapping function @code{cot} for a gradient @var{x} |
gradcumprod | % overloads built-in function @code{cumprod} for a gradient @var{x} |
gradcumsum | % overloads built-in function @code{cumsum} for a gradient @var{x} |
gradexp | % overloads built-in mapper @code{exp} for a gradient @var{x} |
gradfind | % overloads built-in function @code{find} for a gradient @var{x} |
gradimag | % overloads built-in mapper @code{imag} for a gradient @var{x} |
gradlog | % overloads built-in mapper @code{log} for a gradient @var{x} |
gradlog10 | % overloads built-in mapper @code{log10} for a gradient @var{x} |
gradprod | % overloads built-in function @code{prod} for a gradient @var{x} |
gradreal | % overloads built-in mapper @code{real} for a gradient @var{x} |
gradsin | % overloads built-in mapper @code{sin} for a gradient @var{x} |
gradsinh | % overloads built-in mapper @code{sinh} for a gradient @var{x} |
gradsqrt | % overloads built-in mapper @code{sqrt} for a gradient @var{x} |
gradsum | % overloads built-in function @code{sum} for a gradient @var{x} |
gradtan | % overloads built-in mapper @code{tan} for a gradient @var{x} |
gradtanh | % overloads built-in mapper @code{tanh} for a gradient @var{x} |