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Up-> CppAD ADFun

CppAD-> Install Introduction AD ADFun preprocessor multi_thread utility ipopt_solve Example speed Appendix

ADFun-> record_adfun drivers Forward Reverse sparsity_pattern sparse_derivative optimize abs_normal FunCheck check_for_nan

Headings-> Purpose Contents

@(@\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}} }@)@ADFun Objects
Purpose
An AD of Base operation sequence is stored in an ADFun object by its FunConstruct . The ADFun object can then be used to calculate function values, derivative values, and other values related to the corresponding function.

Contents

record_adfun	Create an ADFun Object (Record an Operation Sequence)
drivers	First and Second Order Derivatives: Easy Drivers
Forward	Forward Mode
Reverse	Reverse Mode
sparsity_pattern	Calculating Sparsity Patterns
sparse_derivative	Calculating Sparse Derivatives
optimize	Optimize an ADFun Object Tape
abs_normal	Abs-normal Representation of Non-Smooth Functions
FunCheck	Check an ADFun Sequence of Operations
check_for_nan	Check an ADFun Object For Nan Results

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Input File: cppad/core/ad_fun.hpp