How to Install and Uninstall libdsdp-5.8gf Package on Kali Linux

Last updated: December 23,2024

1. Install "libdsdp-5.8gf" package

Please follow the instructions below to install libdsdp-5.8gf on Kali Linux


    
        
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                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libdsdp-5.8gf
            
                    
    
    Copied

2. Uninstall "libdsdp-5.8gf" package

Please follow the guidance below to uninstall libdsdp-5.8gf on Kali Linux:


    
        
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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 Kali Linux

Package: libdsdp-5.8gf
Source: dsdp
Version: 5.8-10
Installed-Size: 478
Maintainer: Debian QA Group
Architecture: amd64
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3, sgml-base (>= 1.28)
Size: 181520
SHA256: b93d989849a368d406b68e9d190adb43c74fd1882c0c971b806d9c9be6da9278
SHA1: 2945cb0a0376b51fb357fcec62e1385955bf0123
MD5sum: e4d7d152b1c898c0843c3a787b320bdf
Description: 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:
Homepage: http://www-unix.mcs.anl.gov/DSDP/
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/d/dsdp/libdsdp-5.8gf_5.8-10_amd64.deb