How to Install and Uninstall libmadness-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: September 20,2024

1. Install "libmadness-dev" package

In this section, we are going to explain the necessary steps to install libmadness-dev on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install libmadness-dev

2. Uninstall "libmadness-dev" package

This tutorial shows how to uninstall libmadness-dev on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove libmadness-dev $ sudo apt autoclean && sudo apt autoremove

3. Information about the libmadness-dev package on Ubuntu 21.10 (Impish Indri)

Package: libmadness-dev
Architecture: amd64
Version: 0.10.1+git20200818.eee5fd9f-2
Priority: optional
Section: universe/libdevel
Source: madness
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debichem Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 142986
Filename: pool/universe/m/madness/libmadness-dev_0.10.1+git20200818.eee5fd9f-2_amd64.deb
Size: 9769980
MD5sum: 57906f681952e42a06376ca374c43ea2
SHA1: d20e0fb608ac8e7a8b69c4d919143e582571e577
SHA256: 37a6ef2f470781425a59631b009e70c9370e1a35d68b5f3ca6be5efcc6ac52b6
SHA512: 4dd88a3b814c6b8d79888883a8f55bfb6e3cf540efd56d63870e9f9d6a1ddca2f1e384290798c2798a2f761b26cefb995db7dfb41d13e31d78fe4f46935f5e83
Homepage: https://github.com/m-a-d-n-e-s-s/madness
Description-en: Numerical Environment for Scientific Simulation (development files)
MADNESS (Multiresolution Adaptive Numerical Environment for Scientific
Simulation) provides a high-level environment for the solution of integral and
differential equations in many dimensions using adaptive, fast methods with
guaranteed precision based on multi-resolution analysis and novel separated
representations. There are three main components to MADNESS. At the lowest
level is a new petascale parallel programming environment that increases
programmer productivity and code performance/scalability while maintaining
backward compatibility with current programming tools such as MPI and Global
Arrays. The numerical capabilities built upon the parallel tools provide a
high-level environment for composing and solving numerical problems in many
(1-6+) dimensions. Finally, built upon the numerical tools are new
applications with initial focus upon chemistry, atomic and molecular physics,
material science, and nuclear structure.
.
This package contains the static libraries and the header files.
Description-md5: ed54c55677142f37ade1ef8530f07a53