Merge pull request #926 from allanleal/master

Add autodiff and Reaktoro libraries
This commit is contained in:
myd7349
2019-12-14 13:48:04 +08:00
committed by GitHub

View File

@@ -9,6 +9,7 @@ A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny
- [Audio](#audio)
- [Biology](#biology)
- [BitTorrent](#bittorrent)
- [Chemistry](#chemistry)
- [CLI](#cli)
- [Compression](#compression)
- [Concurrency](#concurrency)
@@ -176,6 +177,11 @@ A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny
* [LibTorrent](https://github.com/rakshasa/libtorrent) (a.k.a. libtorrent-rakshasa) - BitTorrent library. [GPL]
* [libutp](https://github.com/bittorrent/libutp) - uTorrent Transport Protocol library. [MIT]
## Chemistry
*Chemistry, Geochemistry, Biochemistry*
* [Reaktoro](https://github.com/reaktoro/reaktoro) - A computational framework in C++ and Python for modeling chemically reactive systems. [LGPL] [website](https://reaktoro.org)
## CLI
*Console/Terminal User Interface, Command Line Interface*
@@ -586,6 +592,7 @@ A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny
* [Apophenia](https://github.com/b-k/apophenia) - A C library for statistical and scientific computing [GPL2]
* [Armadillo](https://gitlab.com/conradsnicta/armadillo-code) - Fast C++ library for linear algebra & scientific computing. [Apache2] [website](http://arma.sourceforge.net/)
* [autodiff](https://github.com/autodiff/autodiff) - A modern, fast and expressive C++ library for automatic differentiation. [MIT] [website](https://autodiff.github.io)
* [blaze](https://bitbucket.org/blaze-lib/blaze) - high-performance C++ math library for dense and sparse arithmetic. [BSD]
* [Boost.Multiprecision](http://www.boost.org/doc/libs/master/libs/multiprecision/doc/html/index.html) - provides higher-range/precision integer, rational and floating-point types in C++, header-only or with GMP/MPFR/LibTomMath backends. [Boost]
* [ceres-solver](http://ceres-solver.org/) - C++ library for modeling and solving large complicated nonlinear least squares problems from google. [BSD]