How to Install and Uninstall libtrilinos-ml12 Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: May 09,2024

1. Install "libtrilinos-ml12" package

In this section, we are going to explain the necessary steps to install libtrilinos-ml12 on Ubuntu 22.04 LTS (Jammy Jellyfish)

$ sudo apt update $ sudo apt install libtrilinos-ml12

2. Uninstall "libtrilinos-ml12" package

Please follow the steps below to uninstall libtrilinos-ml12 on Ubuntu 22.04 LTS (Jammy Jellyfish):

$ sudo apt remove libtrilinos-ml12 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libtrilinos-ml12 package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Package: libtrilinos-ml12
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: 2782
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.3.1), liblapack3 | liblapack.so.3, libopenmpi3 (>= 4.1.0), libscotch-6.1 (>= 6.1.1), libstdc++6 (>= 11), libtrilinos-amesos12 (>= 12.18.1), libtrilinos-aztecoo12 (>= 12.18.1), libtrilinos-epetra12 (>= 12.18.1), libtrilinos-epetraext12 (>= 12.18.1), libtrilinos-galeri12 (>= 12.18.1), libtrilinos-ifpack12 (>= 12.18.1), libtrilinos-teuchos12 (>= 12.18.1), libtrilinos-zoltan12 (>= 12.18.1)
Filename: pool/universe/t/trilinos/libtrilinos-ml12_12.18.1-2build1_amd64.deb
Size: 989826
MD5sum: 9819650c7922716005c1256d0412a4c5
SHA1: 8e5b1f6d241e91b7015d6df21412ac072a0bcfbc
SHA256: ad7734787ff677a097bfe68e5fad5e965a6b42713bb700f4bc756eaea8979fd2
SHA512: 39caefe19e50271fdb40cb706525b545ddb0f7a639027124e68b1bc28044910734bd89279a39f6875bc0840a3aea4861fdc68fdb820f43722dab72d21d607242
Homepage: https://trilinos.github.io/
Description-en: multigrid preconditioning - runtime files
ML is Sandia's main multigrid preconditioning package. ML is designed to solve
large sparse linear systems of equations arising primarily from elliptic PDE
discretizations. ML is used to define and build multigrid solvers and
preconditioners, and it contains black-box classes to construct
highly-scalable smoothed aggregation preconditioners. ML preconditioners have
been used on thousands of processors for a variety of problems, including the
incompressible Navier-Stokes equations with heat and mass transfer, linear and
nonlinear elasticity equations, the Maxwell equations, semiconductor
equations, and more.
.
This package contains the dynamic libraries.
Description-md5: b88aa6a669e8bb97a7bbb0c5625bc371