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@(@\newcommand{\W}[1]{ \; #1 \; } \newcommand{\R}[1]{ {\rm #1} } \newcommand{\B}[1]{ {\bf #1} } \newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} } \newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} } \newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} } \newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }@)@
Computing a Jacobian With Constants that Change

Purpose
In this example we use two levels of taping so that a derivative can have constant parameters that can be changed. To be specific, we consider the function @(@ f : \B{R}^2 \rightarrow \B{R}^2 @)@ @[@ f(x) = p \left( \begin{array}{c} \sin( x_0 ) \\ \sin( x_1 ) \end{array} \right) @]@ were @(@ p \in \B{R} @)@ is a parameter. The Jacobian of this function is @[@ g(x,p) = p \left( \begin{array}{cc} \cos( x_0 ) & 0 \\ 0 & \cos( x_1 ) \end{array} \right) @]@ In this example we use two levels of AD to avoid computing the partial of @(@ f(x) @)@ with respect to @(@ p @)@, but still allow for the evaluation of @(@ g(x, p) @)@ at different values of @(@ p @)@.
Input File: example/general/change_param.cpp