Search Results for "cas library"

SymPy is an open source Python library for symbolic mathematics. Its goal is to become a full-featured computer algebra system (CAS) while maintaining the simplicity of its code. Written entirely in Python, SymPy is easy to use, comprehensible and easily extensible. It’s also very lightweight as it solely depends on mpmath, a pure Python library for arbitrary floating point arithmetic.

FastFlow is a C/C++ programming framework supporting the development of pattern-based parallel programs on multi/many-core, GPUs and distributed platforms. FastFlow run-time is built upon non-blocking threads and lock-free queues. Thanks to its very efficient CAS-free communication/synchronization support (e.g. few clock cycles core-to-core latency), FastFlow effectively supports the exploitation of fine grain parallelism, e.g. parallel codes managing very high frequency streams on...

Free computer algebra system, compatible with existing CAS, as a C++ library with various user interfaces (GUI with formal spreadsheet and exact dynamic geometry, on-line, readline, emacs, texmacs...).

SAC (Symbolic Analysis and Control) is a toolbox for people working in control theory. It will help to the analysis and synthesis of nonlinear systems described by state equations (with or without delays).

swiginac is a Python interface to the GiNaC (GiNaC is not a CAS) C++ library, built with SWIG. The aim of swiginac is to make all the functionality of GiNaC accessible from Python.

This projects deals with different robotics algorithms such as motion planning (navigation) , vision SLAM, vision algorithms, and mapping.

KHorn is a universal easy to use CAS (Computer Algebra System). It will be usable for Physics, Chemistry, Mathematics and other natural sciences. KHorn is based on the GMP library.

GiANT is a graphical interface for computer algebra systems (OS X/UNIX/Win). Currently GiANT lets the user work with number fields via KASH, but we aim to develop it into a GUI Library to run on top of any CAS and expose any of its functions.

Personal research achievements from the authors presented here in the form of symbolic Algebra and non-numerical analysis algorithms implemented in C/C++, Java, and/or Pascal. As part of a more wide, simple, powerful and robust CAS enviroment under development, new code will be continuously added up to this repository. The authors give their welcome and encouragement to everyone interested in bring some kind of collaboration.

A CAS system for iOS.