How to Install and Uninstall perl-Math-Derivative.noarch Package on Fedora 38
Last updated: November 13,2024
1. Install "perl-Math-Derivative.noarch" package
This tutorial shows how to install perl-Math-Derivative.noarch on Fedora 38
$
sudo dnf update
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$
sudo dnf install
perl-Math-Derivative.noarch
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2. Uninstall "perl-Math-Derivative.noarch" package
This guide let you learn how to uninstall perl-Math-Derivative.noarch on Fedora 38:
$
sudo dnf remove
perl-Math-Derivative.noarch
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$
sudo dnf autoremove
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3. Information about the perl-Math-Derivative.noarch package on Fedora 38
Last metadata expiration check: 1:03:00 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : perl-Math-Derivative
Version : 1.01
Release : 17.fc38
Architecture : noarch
Size : 20 k
Source : perl-Math-Derivative-1.01-17.fc38.src.rpm
Repository : fedora
Summary : Numeric 1st and 2nd order differentiation
URL : https://metacpan.org/release/Math-Derivative
License : GPL-1.0-or-later OR Artistic-1.0-Perl
Description : This Perl package exports functions for performing numerical first
: (Derivative1) and second Derivative2) order differentiation on vectors of
: data. They both take references to two arrays containing the x and y
: ordinates of the data and return an array of the 1st or 2nd derivative at
: the given x ordinates. Derivative2 may optionally be given values to use
: for the first derivative at the start and end points of the data -
: otherwise 'natural' values are used.
Available Packages
Name : perl-Math-Derivative
Version : 1.01
Release : 17.fc38
Architecture : noarch
Size : 20 k
Source : perl-Math-Derivative-1.01-17.fc38.src.rpm
Repository : fedora
Summary : Numeric 1st and 2nd order differentiation
URL : https://metacpan.org/release/Math-Derivative
License : GPL-1.0-or-later OR Artistic-1.0-Perl
Description : This Perl package exports functions for performing numerical first
: (Derivative1) and second Derivative2) order differentiation on vectors of
: data. They both take references to two arrays containing the x and y
: ordinates of the data and return an array of the 1st or 2nd derivative at
: the given x ordinates. Derivative2 may optionally be given values to use
: for the first derivative at the start and end points of the data -
: otherwise 'natural' values are used.