How to Install and Uninstall python-cvxopt Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 23,2024

1. Install "python-cvxopt" package

This guide covers the steps necessary to install python-cvxopt on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-cvxopt
            
                    
    
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2. Uninstall "python-cvxopt" package

Learn how to uninstall python-cvxopt on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-cvxopt
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-cvxopt package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-cvxopt
Priority: optional
Section: universe/python
Installed-Size: 2860
Maintainer: Ubuntu Developers
Original-Maintainer: Soeren Sonnenburg
Architecture: amd64
Source: cvxopt
Version: 1.1.4-1.4
Provides: python2.7-cvxopt
Depends: libblas3 | libblas.so.3, libc6 (>= 2.14), libdsdp-5.8gf, libfftw3-double3, libglpk36 (>= 4.51), libgsl2, liblapack3 | liblapack.so.3, python (>= 2.7), python (<< 2.8)
Filename: pool/universe/c/cvxopt/python-cvxopt_1.1.4-1.4_amd64.deb
Size: 1343776
MD5sum: 97f6f1b80aeb9ce6d753c174ec7a157f
SHA1: f758806fb92bf2840b85bc547a874269b64e8859
SHA256: b3eb4c027dd17d58f55e1eab21c8a9d685b4788f3271a27879aee4174e7b7e1d
Description-en: Python package for convex optimization
CVXOPT is a Python package for convex optimization. It includes
* Python classes for storing and manipulating dense and sparse matrices
* an interface to most of the double-precision real and complex BLAS
* an interface to the dense linear equation solvers and eigenvalue
routines from LAPACK
* interfaces to the sparse LU and Cholesky solvers from UMFPACK and
CHOLMOD.
* routines for solving convex optimization problems, an interface to
the linear programming solver in GLPK, and interfaces to the
linear and quadratic programming solvers in MOSEK
* a modeling tool for specifying convex piecewise-linear
optimization problems.
Description-md5: 34a2af6e94227f6c70c822e070ba4bfb
Homepage: http://abel.ee.ucla.edu/cvxopt
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu