How to Install and Uninstall libtrilinos-shylu-dev Package on Kali Linux

Last updated: May 17,2024

1. Install "libtrilinos-shylu-dev" package

This tutorial shows how to install libtrilinos-shylu-dev on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libtrilinos-shylu-dev
            
                    
    
    Copied

2. Uninstall "libtrilinos-shylu-dev" package

Learn how to uninstall libtrilinos-shylu-dev on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libtrilinos-shylu-dev
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libtrilinos-shylu-dev package on Kali Linux

Package: libtrilinos-shylu-dev
Source: trilinos (13.2.0-5)
Version: 13.2.0-5+b1
Installed-Size: 2922
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libtrilinos-shylu-13.2 (= 13.2.0-5+b1), trilinos-dev
Suggests: trilinos-doc
Size: 279988
SHA256: 73d1ca54a73a185daebc2b7dfb67ebe7eb989d3ab672ff6aad51d07e079a587d
SHA1: e66cd7c27709be94c1ec459cb7c61fe53719e8d3
MD5sum: 2b524b707b66f956cbb2a055a1159aa4
Description: solving sparse linear systems - development files
ShyLU is a package for solving sparse linear systems. It can be used either as
a preconditioner, or as a solver. Currently, it is recommended as an Ifpack
preconditioner. ShyLU uses a hybrid direct/iterative approach based on Schur
complements. The goal is to provide robustness similar to sparse direct
solvers, but memory usage more similar to preconditioned iterative solvers.
ShyLU was designed as a node-level solver. It can use both MPI and threads in
several ways. ShyLU was designed (a) to solve difficult but medium-size
problems, and (b) to be used as a subdomain solver or smoother for very large
problems within an iterative scheme. It is a purely algebraic method so can be
used as a black-box solver. ShyLU has been particularly successful in
electrical circuit simulation (Xyce).
.
This package provides headers.
Description-md5:
Multi-Arch: same
Homepage: https://trilinos.github.io/
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/t/trilinos/libtrilinos-shylu-dev_13.2.0-5+b1_amd64.deb