How to Install and Uninstall libint1 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 26,2024

1. Install "libint1" package

Learn how to install libint1 on Ubuntu 21.04 (Hirsute Hippo)

$ sudo apt update $ sudo apt install libint1

2. Uninstall "libint1" package

Learn how to uninstall libint1 on Ubuntu 21.04 (Hirsute Hippo):

$ sudo apt remove libint1 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libint1 package on Ubuntu 21.04 (Hirsute Hippo)

Package: libint1
Architecture: amd64
Version: 1.2.1-6
Priority: optional
Section: universe/libs
Source: libint
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debichem Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 38461
Depends: libc6 (>= 2.4)
Breaks: psi4 (<< 1:1.3.2+dfsg-1)
Filename: pool/universe/libi/libint/libint1_1.2.1-6_amd64.deb
Size: 7550192
MD5sum: 07f1015dad799dcb8667a2815f7303e0
SHA1: 0058af44c688e7cc3a0e0a1b1d8b44fd5d143e51
SHA256: 599d6cf39e3e9481c986bdba17b7b129d9412102d121db0be19c17b049024b2d
SHA512: 1b8bb8807bf0a1728bd0092edaabb8cf3b9b79114bd1af8a562d59e275ba0d89c30eeab15a6801e6eb365e614b18046c42130613bd1f6bf233786913317a1fe2
Homepage: http://sourceforge.net/p/libint/home/
Description-en: Evaluate the integrals in modern atomic and molecular theory
The LIBINT library is used to evaluate the traditional (electron repulsion)
and certain novel two-body matrix elements (integrals) over Cartesian
Gaussian functions used in modern atomic and molecular theory. The idea
of the library is to let computer write optimized code for computing
such integrals. There are two primary advantages to this: much less
human effort is required to write code for computing new integrals, and
code can be optimized specifically for a particular computer
architecture (e.g., vector processor).
.
LIBINT has been utilized to implement methods such as Hartree-Fock (HF)
and Kohn-Sham density functional theory (KS DFT), second-order
Moeller-Plesset perturbation theory (MP2), coupled cluster singles and
doubles (CCSD) method, as well as explicitly correlated R12 methods.
.
This package contains the shared library.
Description-md5: 743a7c2856769633e13b13722aa189e8