How to Install and Uninstall orocos-bfl.i686 Package on Fedora 34
Last updated: November 14,2024
1. Install "orocos-bfl.i686" package
Please follow the guidelines below to install orocos-bfl.i686 on Fedora 34
$
sudo dnf update
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$
sudo dnf install
orocos-bfl.i686
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2. Uninstall "orocos-bfl.i686" package
This guide covers the steps necessary to uninstall orocos-bfl.i686 on Fedora 34:
$
sudo dnf remove
orocos-bfl.i686
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$
sudo dnf autoremove
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3. Information about the orocos-bfl.i686 package on Fedora 34
Last metadata expiration check: 2:27:12 ago on Tue Sep 6 14:10:38 2022.
Available Packages
Name : orocos-bfl
Version : 0.8.99
Release : 24.20190423gitcf72962.fc34
Architecture : i686
Size : 197 k
Source : orocos-bfl-0.8.99-24.20190423gitcf72962.fc34.src.rpm
Repository : fedora
Summary : A framework for inference in Dynamic Bayesian Networks
URL : http://www.orocos.org/bfl/
License : GPLv2 with exceptions and LGPLv2+
Description : The Bayesian Filtering Library (BFL) provides an application independent
: framework for inference in Dynamic Bayesian Networks, i.e., recursive
: information processing and estimation algorithms based on Bayes' rule, such as
: (Extended) Kalman Filters, Particle Filters, etc. These algorithms can, for
: example, be run on top of the Realtime Services, or be used for estimation in
: Kinematics & Dynamics applications.
Available Packages
Name : orocos-bfl
Version : 0.8.99
Release : 24.20190423gitcf72962.fc34
Architecture : i686
Size : 197 k
Source : orocos-bfl-0.8.99-24.20190423gitcf72962.fc34.src.rpm
Repository : fedora
Summary : A framework for inference in Dynamic Bayesian Networks
URL : http://www.orocos.org/bfl/
License : GPLv2 with exceptions and LGPLv2+
Description : The Bayesian Filtering Library (BFL) provides an application independent
: framework for inference in Dynamic Bayesian Networks, i.e., recursive
: information processing and estimation algorithms based on Bayes' rule, such as
: (Extended) Kalman Filters, Particle Filters, etc. These algorithms can, for
: example, be run on top of the Realtime Services, or be used for estimation in
: Kinematics & Dynamics applications.