How to Install and Uninstall libtrilinos-shylu12 Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: December 24,2024

1. Install "libtrilinos-shylu12" package

Please follow the step by step instructions below to install libtrilinos-shylu12 on Ubuntu 22.04 LTS (Jammy Jellyfish)

$ sudo apt update $ sudo apt install libtrilinos-shylu12

2. Uninstall "libtrilinos-shylu12" package

Please follow the steps below to uninstall libtrilinos-shylu12 on Ubuntu 22.04 LTS (Jammy Jellyfish):

$ sudo apt remove libtrilinos-shylu12 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libtrilinos-shylu12 package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Package: libtrilinos-shylu12
Architecture: amd64
Version: 12.18.1-2build1
Multi-Arch: same
Priority: extra
Section: universe/libs
Source: trilinos
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 119
Depends: libblas3 | libblas.so.3, libc6 (>= 2.2.5), liblapack3 | liblapack.so.3, libstdc++6 (>= 4.1.1)
Filename: pool/universe/t/trilinos/libtrilinos-shylu12_12.18.1-2build1_amd64.deb
Size: 13526
MD5sum: 652784ae6ff7b4c123b2cc8d0d1feded
SHA1: 5448a54e7e3a329ffc1cd42f3905fb572e6ef63f
SHA256: fd179c937b2423fac69c9049dfa4ba06244dff3fae778135f2af2dc7d20602bd
SHA512: 73abdf798786e1fac3aecdcd4becfc02e5741281e8a51031a948d84cba4f51ca39810fe2061760d0c2735c7e2443737705819ec04d411b484d5f9dea19ef930b
Homepage: https://trilinos.github.io/
Description-en: solving sparse linear systems - runtime 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 contains the dynamic libraries.
Description-md5: 7f6152a0c3aea1ee1ae965f3a301d521