How to Install and Uninstall sdpa Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 16,2024

1. Install "sdpa" package

This tutorial shows how to install sdpa on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                sdpa
            
                    
    
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2. Uninstall "sdpa" package

Here is a brief guide to show you how to uninstall sdpa on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                sdpa
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the sdpa package on Ubuntu 20.10 (Groovy Gorilla)

Package: sdpa
Architecture: amd64
Version: 7.3.14+dfsg-1build1
Priority: optional
Section: universe/math
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Makoto Yamashita
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 26651
Depends: libc6 (>= 2.29), libgcc-s1 (>= 4.0), libgfortran5 (>= 8), libscotch-6.0 (>= 6.0.9), libstdc++6 (>= 5), libopenblas-dev, libmumps-seq-5.3.1
Filename: pool/universe/s/sdpa/sdpa_7.3.14+dfsg-1build1_amd64.deb
Size: 2226272
MD5sum: 1d6abc1a9d3ed96f6afca07eb9cf5acd
SHA1: fdf44c9376dbc92ca737d235ae1925d2a2c81109
SHA256: ac1168e79e0dee1db7d002b09b0a567c3f6b9e12fcf6c805916f452b982868fb
SHA512: 861683a74ce0a656ed9da67e4c2755e37e67a19b571fceefbd32fed0507dd019990d9b73f8b38f54af2d465d6825319c6253a2426f10eb2f61600013cb88023c
Homepage: http://sdpa.sourceforge.net/
Description-en: High-performance package for SemiDefinite Programs
The software SDPA (SemiDefinite Programming Algorithm) is one of the most
efficient and stable software packages for solving SDPs based on the
primal-dual interior-point method.
SDP (SemiDefinite Program) is used for financial engineering, machine
learning, control theory, sensor network problem, quantum chemistry,
quantum information, combinatorial optimizaiton, polynomial
optimization, and so on.
Further information on SDP and SDPA can be found at
http://sdpa.sourceforge.net/
Description-md5: bd9e6f21ac9c276ced30f5a976ae4459