How to Install and Uninstall cppad-devel.i686 Package on Fedora 34
Last updated: November 29,2024
1. Install "cppad-devel.i686" package
This is a short guide on how to install cppad-devel.i686 on Fedora 34
$
sudo dnf update
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$
sudo dnf install
cppad-devel.i686
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2. Uninstall "cppad-devel.i686" package
Please follow the steps below to uninstall cppad-devel.i686 on Fedora 34:
$
sudo dnf remove
cppad-devel.i686
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$
sudo dnf autoremove
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3. Information about the cppad-devel.i686 package on Fedora 34
Last metadata expiration check: 2:04:37 ago on Tue Sep 6 14:10:38 2022.
Available Packages
Name : cppad-devel
Version : 20220000.1
Release : 1.fc34
Architecture : i686
Size : 442 k
Source : cppad-20220000.1-1.fc34.src.rpm
Repository : updates
Summary : The cppad C++ include files for Algorithmic Differentiation (AD)
URL : http://coin-or.github.io/CppAD
License : EPL-2.0 or GPLv2+
Description : We refer to the step by step conversion from an algorithm that computes
: function values to an algorithm that computes derivative values as
: Algorithmic Differentiation (often referred to as Automatic Differentiation.)
: Given a C++ algorithm that computes function values, cppad generates an
: algorithm that computes its derivative values. A brief introduction to
: Algorithmic Differentiation (AD) can be found at
: http://en.wikipedia.org/wiki/Automatic_differentiation
: See the package cppad-doc for documentation of this version of cppad.
Available Packages
Name : cppad-devel
Version : 20220000.1
Release : 1.fc34
Architecture : i686
Size : 442 k
Source : cppad-20220000.1-1.fc34.src.rpm
Repository : updates
Summary : The cppad C++ include files for Algorithmic Differentiation (AD)
URL : http://coin-or.github.io/CppAD
License : EPL-2.0 or GPLv2+
Description : We refer to the step by step conversion from an algorithm that computes
: function values to an algorithm that computes derivative values as
: Algorithmic Differentiation (often referred to as Automatic Differentiation.)
: Given a C++ algorithm that computes function values, cppad generates an
: algorithm that computes its derivative values. A brief introduction to
: Algorithmic Differentiation (AD) can be found at
: http://en.wikipedia.org/wiki/Automatic_differentiation
: See the package cppad-doc for documentation of this version of cppad.