How to Install and Uninstall libensmallen-dev Package on Kali Linux
Last updated: January 11,2025
1. Install "libensmallen-dev" package
This guide let you learn how to install libensmallen-dev on Kali Linux
$
sudo apt update
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$
sudo apt install
libensmallen-dev
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2. Uninstall "libensmallen-dev" package
This is a short guide on how to uninstall libensmallen-dev on Kali Linux:
$
sudo apt remove
libensmallen-dev
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libensmallen-dev package on Kali Linux
Package: libensmallen-dev
Source: ensmallen
Version: 2.21.1-1
Installed-Size: 1656
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libarmadillo-dev, liblapack-dev
Size: 211344
SHA256: c7028668d4345de7d00cbbeeb2867092e66a6704662bfcf56761db9094f29880
SHA1: ddc2d82f55d3dd706ccdb7feb3eb7dc36022a04c
MD5sum: 642ed6c78bdc2e4f9b003bb4bc2f06d0
Description: C++ header-only library for mathematical optimization
Ensmallen provides a simple set of abstractions for writing an objective
function to optimize. It also provides a large set of standard and cutting-edge
optimizers that can be used for virtually any mathematical optimization task.
These include full-batch gradient descent techniques, small-batch techniques,
gradient-free optimizers, and constrained optimization.
Description-md5:
Homepage: https://www.ensmallen.org/
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/e/ensmallen/libensmallen-dev_2.21.1-1_amd64.deb
Source: ensmallen
Version: 2.21.1-1
Installed-Size: 1656
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libarmadillo-dev, liblapack-dev
Size: 211344
SHA256: c7028668d4345de7d00cbbeeb2867092e66a6704662bfcf56761db9094f29880
SHA1: ddc2d82f55d3dd706ccdb7feb3eb7dc36022a04c
MD5sum: 642ed6c78bdc2e4f9b003bb4bc2f06d0
Description: C++ header-only library for mathematical optimization
Ensmallen provides a simple set of abstractions for writing an objective
function to optimize. It also provides a large set of standard and cutting-edge
optimizers that can be used for virtually any mathematical optimization task.
These include full-batch gradient descent techniques, small-batch techniques,
gradient-free optimizers, and constrained optimization.
Description-md5:
Homepage: https://www.ensmallen.org/
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/e/ensmallen/libensmallen-dev_2.21.1-1_amd64.deb