#

algorithmic-differentation

Here are 6 public repositories matching this topic...

casadi / casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

python c-plus-plus library modular optimization matlab mathematics nonlinear octave numerical-calculations scientific-computing derivatives code-generation parameter-estimation academic-project optimal-control symbolic-manipulation algorithmic-differentation nonlinear-programming

Updated Nov 1, 2024
C++

owlbarn / owl

Owl - OCaml Scientific Computing @ https://ocaml.xyz

Updated Sep 16, 2024
OCaml

joaoleal / CppADCodeGen

Source Code Generation for Automatic Differentiation using Operator Overloading

c-plus-plus latex automatic-differentiation jit mathml dae differentiation algorithmic-differentation

Updated Sep 1, 2024
C++

Rookfighter / autodiff-cpp

A single header-only C++ library for automatic / algorithmic differentiation.

library cpp automatic-differentiation header-only algorithmic-differentation

Updated Nov 29, 2022
C++

rcalxrc08 / xComplex

Complex Numbers for Algorithmic Differentiation

automatic-differentiation complex-numbers algorithmic-differentation

Updated Feb 5, 2018
C++

neilkichler / cutangent

CUDA subgradients using forward-mode AD.

cuda algorithmic-differentation subgradients

Updated Oct 23, 2024
Cuda

Improve this page

Add a description, image, and links to the algorithmic-differentation topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the algorithmic-differentation topic, visit your repo's landing page and select "manage topics."