optimization/py-casadi

Symbolic framework for numeric optimization
Directory:
optimization/py-casadi (package's history)
Package version:
py38-casadi-3.6.7
Home page:
https://github.com/casadi/
License:
gnu-lgpl-v3
Source archive:
-https://github.com/casadi/casadi/archive/3.6.7.tar.gzcasadi-3.6.7.tar.gz
Description:
CasADi is an open-source tool for nonlinear optimization and algorithmic differentiation. It facilitates rapid — yet efficient — implementation of different methods for numerical optimal control, both in an offline context and for nonlinear model predictive control (NMPC).
Run dependencies:
casadi>=3.4.5, ipopt>=3.11, lapack, libstdc++, qpoases>=3.2, tinyxml2>=2
Build dependencies:
cmake>=3.15, digest>=20080510, g++>=3, gcc>=3, patch>=2.0, pax, pkg_install>=20110805.12, python38>=3.8<3.9, swig>=3, tnftp>=20130505~ssl
General options:
debug
Produce debugging information for binary programs
c++-compiler alternatives:
g++
Use the GNU C++ compiler
clang++
Use the LLVM C++ compiler
ccache-g++
Use ccache and the GNU C++ compiler
ccache-clang++
Use ccache and the LLVM C++ compiler
c-compiler alternatives:
gcc
Use the GNU C compiler
clang
Use the LLVM C compiler
ccache-gcc
Use ccache and the GNU C compiler
ccache-clang
Use ccache and the LLVM C compiler
python alternatives:
python27
Use python-2.7
python36
Use python-3.6
python38
Use python-3.8
python39
Use python-3.9
python310
Use python-3.10
python311
Use python-3.11
python312
Use python-3.12

For a summary on how to use the package collection, see the README.html. robotpkg is designed to permit easy installation from source - particularly useful if the latest binary package is not available for your chosen platform.

Problem reports, updates or suggestions for this package should be reported via the mailing list, see https://sympa.laas.fr/sympa/info/robotpkg for more information and subscription.

This page was generated on Fri Nov 15 14:25:53 CET 2024.