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Given a C++ algorithm that computes function values, CppAD generates an algorithm that computes corresponding derivative values (of arbitrary order using . GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects. CppAD uses operator overloading to compute derivatives of algorithms defined in C++. It is distributed by the COIN-OR Foundation with the Common Public.
CppAD is a package for automatic differentiation of algorithms written in C++. Given appropriately written C++ code that computes a function, CppAD augments it. If you want to multiply a MatrixCppAD::AD, > by a Matrix you also need to specialize the corresponding. Demonstrate the use of CppAD by computing the derivative of a simple example function. Function The example function is defined by. where a is a fixed vector.
Source Package: cppad () this source package: cppad: Automatic Differentiation (AD) of C++ algorithms. Other Packages Related to cppad. Comparison of Adept vs ADOL-C vs CppAD open-source Adjoint Algorithmic Differentiation automatic tools (AAD) vs. manual and bumping (finite difference). ct::core::tpl::TraitSelectorCppAD::ADCppAD::cg::CG > > Struct Template Reference. #include. Name: cppad. Description: Automatic Differentiation (AD) of C++ algorithms. Latest version: Release: zesty (). Level: base. Repository. Index of /lookaside/extras/cppad/tomsmallsculpture.com [ICO], Name · Last modified · Size · Description. [PARENTDIR], Parent Directory, -. [DIR].