How to Install and Uninstall libadolc2-32bit Package on openSUSE Leap
Last updated: November 07,2024
1. Install "libadolc2-32bit" package
Here is a brief guide to show you how to install libadolc2-32bit on openSUSE Leap
$
sudo zypper refresh
Copied
$
sudo zypper install
libadolc2-32bit
Copied
2. Uninstall "libadolc2-32bit" package
Here is a brief guide to show you how to uninstall libadolc2-32bit on openSUSE Leap:
$
sudo zypper remove
libadolc2-32bit
Copied
3. Information about the libadolc2-32bit package on openSUSE Leap
Information for package libadolc2-32bit:
----------------------------------------
Repository : Main Repository
Name : libadolc2-32bit
Version : 2.6.2-1.30
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 851.0 KiB
Installed : No
Status : not installed
Source package : adolc-2.6.2-1.30.src
Upstream URL : http://projects.coin-or.org/ADOL-C
Summary : Algorithmic Differentiation Library for C/C++
Description :
The package ADOL-C (Automatic Differentiation by OverLoading in C++)
facilitates the evaluation of first and higher derivatives of vector
functions that are defined by computer programs written in C or
C++. The resulting derivative evaluation routines may be called from
C/C++, Fortran, or any other language that can be linked with C.
The numerical values of derivative vectors are obtained free of
truncation errors at a small multiple of the run time and randomly
accessed memory of the given function evaluation program.
----------------------------------------
Repository : Main Repository
Name : libadolc2-32bit
Version : 2.6.2-1.30
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 851.0 KiB
Installed : No
Status : not installed
Source package : adolc-2.6.2-1.30.src
Upstream URL : http://projects.coin-or.org/ADOL-C
Summary : Algorithmic Differentiation Library for C/C++
Description :
The package ADOL-C (Automatic Differentiation by OverLoading in C++)
facilitates the evaluation of first and higher derivatives of vector
functions that are defined by computer programs written in C or
C++. The resulting derivative evaluation routines may be called from
C/C++, Fortran, or any other language that can be linked with C.
The numerical values of derivative vectors are obtained free of
truncation errors at a small multiple of the run time and randomly
accessed memory of the given function evaluation program.