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

Last updated: April 29,2024

1. Install "python-openopt" package

Please follow the steps below to install python-openopt on Ubuntu 16.04 LTS (Xenial Xerus)


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

Please follow the instructions below to uninstall python-openopt on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-openopt
            
                    
    
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            $
        

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

Package: python-openopt
Priority: extra
Section: universe/python
Installed-Size: 1048
Maintainer: Ubuntu Developers
Original-Maintainer: Yaroslav Halchenko
Architecture: all
Source: openopt
Version: 0.38+svn1589-1.1
Replaces: python-scikits-openopt
Provides: python2.7-openopt
Depends: python-numpy, python-setproctitle, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Recommends: python-scipy, python-cvxopt, python-matplotlib
Suggests: lp-solve
Conflicts: python-scikits-openopt
Filename: pool/universe/o/openopt/python-openopt_0.38+svn1589-1.1_all.deb
Size: 178334
MD5sum: b1ec7131367f0e66cfc080d4e3542df6
SHA1: 78b2e98aaa84415bce1f212b1d422cc1f4bbd9f2
SHA256: 1e8da38992c89f7aac753cf94d97230dc9977ebddcac27de4890db5dd8c0a071
Description-en: Python module for numerical optimization
Numerical optimization framework developed in Python which provides
connections to lots of solvers with easy and unified OpenOpt
syntax. Problems which can be tackled with OpenOpt
* Linear Problem (LP)
* Mixed-Integer Linear Problem (MILP)
* Quadratic Problem (QP)
* Non-Linear Problem (NLP)
* Non-Smooth Problem (NSP)
* Non-Linear Solve Problem (NLSP)
* Least Squares Problem (LSP)
* Linear Least Squares Problem (LLSP)
* Mini-Max Problem (MMP)
* Global Problem (GLP)
.
A variety of solvers is available (e.g. IPOPT, ALGENCAN).
Description-md5: 6660e8fec3d7c24fb9d6abbdab495c35
Homepage: http://www.openopt.org
Python-Version: 2.7
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu