How to Install and Uninstall dsdp Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 03,2024

1. Install "dsdp" package

Learn how to install dsdp on Ubuntu 16.04 LTS (Xenial Xerus)


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

This is a short guide on how to uninstall dsdp on Ubuntu 16.04 LTS (Xenial Xerus):


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

Package: dsdp
Priority: extra
Section: universe/science
Installed-Size: 86
Maintainer: Ubuntu Developers
Original-Maintainer: Soeren Sonnenburg
Architecture: amd64
Version: 5.8-9.1ubuntu2
Depends: libc6 (>= 2.7), libdsdp-5.8gf
Filename: pool/universe/d/dsdp/dsdp_5.8-9.1ubuntu2_amd64.deb
Size: 26022
MD5sum: d6ca10f22f196dbe0e3a56e022fea122
SHA1: 627509ed7ae6239eb921226a83ea223b14315e3e
SHA256: 2b75314cb064eb46eaba149ed4cd934d9bb7148f1e36e9a1988c83d888b1df2a
Description-en: Software for Semidefinite Programming
The DSDP software is a free open source implementation of an interior-point
method for semidefinite programming. It provides primal and dual solutions,
exploits low-rank structure and sparsity in the data, and has relatively
low memory requirements for an interior-point method. It allows feasible
and infeasible starting points and provides approximate certificates of
infeasibility when no feasible solution exists. The dual-scaling
algorithm implemented in this package has a convergence proof and
worst-case polynomial complexity under mild assumptions on the
data. Furthermore, the solver offers scalable parallel performance for
large problems and a well documented interface. Some of the most popular
applications of semidefinite programming and linear matrix inequalities
(LMI) are model control, truss topology design, and semidefinite
relaxations of combinatorial and global optimization problems.
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This package contains the binaries.
Description-md5: f23b1ccc0454351abde108cef0799570
Homepage: http://www-unix.mcs.anl.gov/DSDP/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu