How to Install and Uninstall coinor-libipopt-doc Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 26,2024

1. Install "coinor-libipopt-doc" package

This guide let you learn how to install coinor-libipopt-doc on Ubuntu 21.04 (Hirsute Hippo)

$ sudo apt update $ sudo apt install coinor-libipopt-doc

2. Uninstall "coinor-libipopt-doc" package

This is a short guide on how to uninstall coinor-libipopt-doc on Ubuntu 21.04 (Hirsute Hippo):

$ sudo apt remove coinor-libipopt-doc $ sudo apt autoclean && sudo apt autoremove

3. Information about the coinor-libipopt-doc package on Ubuntu 21.04 (Hirsute Hippo)

Package: coinor-libipopt-doc
Architecture: all
Version: 3.11.9-2.2build4
Priority: extra
Section: universe/doc
Source: coinor-ipopt
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Greg Horn
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 43664
Depends: libjs-jquery
Filename: pool/universe/c/coinor-ipopt/coinor-libipopt-doc_3.11.9-2.2build4_all.deb
Size: 2290944
MD5sum: c5f84e5c59a6f6044ccec983bfd0ccd3
SHA1: 2f88aa868ef17eff94255f89f9251c89430cbb7b
SHA256: 35983b9910a42787ca7c352a8ff2f503620d2bd2314e66ef0eb879fc8c7f1405
SHA512: 70bf75294cd2f174bdac45734aec1a534af304232ab788555f4e54cdef200e9e88e9d18c62061a4f819129a991d7be90a7fd723d46c8178e3a34cf61f96dadae
Homepage: https://projects.coin-or.org/Ipopt
Description-en: Interior-Point Optimizer - documentation
Ipopt is an open-source solver for large-scale nonlinear continuous
optimization. It can be used from modeling environments, such as AMPL,
GAMS, or Matlab, and it is also available as a callable library with
interfaces to C++, C, and Fortran. Ipopt uses an interior point method,
together with a filter linear search procedure. Ipopt is part of the
larger COIN-OR initiative (Computational Infrastructure for Operations
Research).
.
The Debian package is compiled against MUMPS (as it is the only one of
the available solvers that is Free Software and included in Debian).
.
This package contains the documentation.
Description-md5: ace0722ec70c25cead2c4fcc86a4a74d