How to Install and Uninstall libdsdp-5.8gf Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 23,2024

1. Install "libdsdp-5.8gf" package

Please follow the instructions below to install libdsdp-5.8gf on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libdsdp-5.8gf
            
                    
    
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2. Uninstall "libdsdp-5.8gf" package

Please follow the steps below to uninstall libdsdp-5.8gf on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libdsdp-5.8gf
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libdsdp-5.8gf package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libdsdp-5.8gf
Priority: extra
Section: universe/libs
Installed-Size: 514
Maintainer: Ubuntu Developers
Original-Maintainer: Soeren Sonnenburg
Architecture: amd64
Source: dsdp
Version: 5.8-9.1ubuntu2
Depends: libblas3 | libblas.so.3, libc6 (>= 2.14), liblapack3 | liblapack.so.3
Filename: pool/universe/d/dsdp/libdsdp-5.8gf_5.8-9.1ubuntu2_amd64.deb
Size: 192160
MD5sum: 281f40a017a56940800629093de1da8d
SHA1: 2520ec6174b8f1c549b87efd53e587a39613724b
SHA256: 308e981b1f25a0bffd2358cfc0ccdc71c6f49899b1643cdc9638d8c82777fe68
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.
.
This package contains the library files.
Description-md5: 0747ea6e16d480b70ce0d68d68364dd2
Homepage: http://www-unix.mcs.anl.gov/DSDP/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu