cppad
  • Table of Contents
  • user_guide
    • Install
    • Theory
      • Introduction
      • forward_theory
      • reverse_theory
      • reverse_identity
      • taylor_ode
      • research
    • AD
    • ADFun
    • preprocessor
    • multi_thread
    • utility
    • ipopt_solve
    • Example
    • speed
  • appendix
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\(\newcommand{\W}[1]{ \; #1 \; }\) \(\newcommand{\R}[1]{ {\rm #1} }\) \(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }\) \(\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }\) \(\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }\) \(\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }\)

Theory¶

The Theory of Derivative Calculations¶

  • Contents

Contents¶

  • An Introduction by Example to Algorithmic Differentiation

  • The Theory of Forward Mode

  • The Theory of Reverse Mode

  • An Important Reverse Mode Identity

  • AD Theory for Solving ODE’s Using Taylor’s Method

  • Research and Software Engineering Projects Related to CppAD

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