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Headings-> Getting Started Scalar Function Vector Range Hessian Sparsity Patterns 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}} }@)@This is cppad-20221105 documentation. Here is a link to its current documentation . Example Defining Atomic Functions: Second Generation
Getting Started
that shows the minimal amount of information required to create a user defined atomic operation.

Scalar Function
where the user provides the code for computing derivatives. This example is simple because the domain and range are scalars.

Vector Range
where the user provides the code for computing derivatives. This example is more complex because the range has two components.

Hessian Sparsity Patterns
where the user provides the code for computing Hessian sparsity patterns.

Contents

atomic_two_eigen_mat_mul.cpp	Atomic Eigen Matrix Multiply: Example and Test
atomic_two_eigen_mat_inv.cpp	Atomic Eigen Matrix Inverse: Example and Test
atomic_two_eigen_cholesky.cpp	Atomic Eigen Cholesky Factorization: Example and Test

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Input File: include/cppad/core/atomic/two/atomic.hpp