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1–11 of 11 · Most stars

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, Matlab/Octave, Julia or Javascript

Lightweight, general, scalable C++ library for finite element methods

The development repository for the deal.II finite element library

  • finite-elements
  • c-plus-plus
  • fem
  • hpc

C++ library for solving large sparse linear systems with algebraic multigrid method

  • amg
  • c-plus-plus
  • sparse-linear-systems
  • opencl

VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP

  • opencl
  • cuda
  • c-plus-plus
  • gpgpu

The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.

  • automatic-differentiation
  • aad
  • algorithmic-differentiation
  • autodiff