loongson/pypi/: casadi-3.7.2 metadata and description

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CasADi -- framework for algorithmic differentiation and numeric optimization

author Joel Andersson, Joris Gillis, Greg Horn
author_email developer_first_name@casadi.org
classifiers
  • Development Status :: 5 - Production/Stable
  • Intended Audience :: Science/Research
  • License :: OSI Approved
  • Programming Language :: C++
  • Programming Language :: Python
  • Programming Language :: Python :: 2
  • Programming Language :: Python :: 2.7
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.4
  • Programming Language :: Python :: 3.5
  • Programming Language :: Python :: 3.6
  • Programming Language :: Python :: 3.6
  • Programming Language :: Python :: 3.7
  • Programming Language :: Python :: 3.8
  • Programming Language :: Python :: 3.9
  • Programming Language :: Python :: 3.10
  • Programming Language :: Python :: 3.11
  • Programming Language :: Python :: 3.12
  • Programming Language :: Python :: Implementation :: CPython
  • Topic :: Scientific/Engineering
  • Operating System :: Microsoft :: Windows
  • Operating System :: POSIX
  • Operating System :: Unix
  • Operating System :: MacOS
download_url http://install.casadi.org
license GNU Lesser General Public License v3 or later (LGPLv3+)
project_urls
  • Documentation, http://docs.casadi.org
  • Bug Tracker, https://github.com/casadi/casadi/issues
  • Source Code, https://github.com/casadi/casadi
requires_dist
  • numpy
File Tox results History
casadi-3.7.2-cp313-none-manylinux_2_38_loongarch64.whl
Size
47 MB
Type
Python Wheel
Python
3.13

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.

Example pack can be downloaded from http://install.casadi.org