How to Install and Uninstall xmds2 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 09,2024

1. Install "xmds2" package

This guide let you learn how to install xmds2 on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install xmds2

2. Uninstall "xmds2" package

In this section, we are going to explain the necessary steps to uninstall xmds2 on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove xmds2 $ sudo apt autoclean && sudo apt autoremove

3. Information about the xmds2 package on Ubuntu 20.10 (Groovy Gorilla)

Package: xmds2
Architecture: all
Version: 3.0.0+dfsg-4
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4616
Depends: python3-cheetah (>= 3), python3-lxml, python3-mpmath, python3-numpy, python3-pyparsing, python3:any, libfftw3-dev, libfftw3-mpi-dev, libgsl-dev, libhdf5-serial-dev, libatlas-base-dev, mpi-default-bin, mpi-default-dev, python3-cheetah (<< 4), python3-h5py-mpi, python3-pkg-resources, g++
Suggests: python3-scipy
Filename: pool/universe/x/xmds2/xmds2_3.0.0+dfsg-4_all.deb
Size: 576632
MD5sum: 077145f189898a50cb3810e9934f65da
SHA1: a3f9c2e15d60cb5cf597fcf04a995d31013b8374
SHA256: 0c2cf4e2d09b0072a0d1f7e9b4d16592558e201e57540c2b3225e0494ceef9ad
SHA512: 01ebd2bc096b8de379cc7c82ccd841cd02c04fe533dd458fa404c205d6d74501aa76f58c8416c738a15dce349b26c416c97f018ee96dd322a5ea5ac72d589947
Homepage: http://xmds.sourceforge.net/
Description-en: eXtensible Multi-Dimensional Simulator
XMDS is a code generator that integrates equations, from Ordinary
Differential Equations (ODEs) up to stochastic Partial Differential
Equations (PDEs). You write them down in human readable form in an
XML file, and it goes away and writes and compiles a C++ program that
integrates those equations as fast as it can possibly be done in your
architecture.
.
XMDS 2 is a major upgrade rewritten in Python which is faster and far
more versatile than previous versions, allowing the efficient integration
of almost any initial value problem on regular domains.
Description-md5: fa220e11b0c588a8efacc21c1eb0123f