libcmaes on AUR (Arch User Repository)
Last updated: November 23,2024
1. Install "libcmaes" effortlessly via AUR with the help of a helper(YAY)
a. Install YAY (https://github.com/Jguer/yay)
$
sudo pacman -S --needed git base-devel && git clone https://aur.archlinux.org/yay.git && cd yay && makepkg -si
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b. Install libcmaes on Arch using YAY
$
yay -S
libcmaes
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* (Optional) Uninstall libcmaes on Arch using YAY
$
yay -Rns
libcmaes
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2. Manually Install "libcmaes" via AUR
a. Ensure you have the base development tools and git installed with:
$
sudo pacman -S --needed
base-devel git
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b. Clone libcmaes's git locally
$
git clone https://aur.archlinux.org/libcmaes.git
~/libcmaes
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c. Go to ~/libcmaes folder and install it
$
cd
~/libcmaes
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$
makepkg -si
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3. Information about the libcmaes package on Arch User Repository (AUR)
ID: 1141276
Name: libcmaes
PackageBaseID: 96384
PackageBase: libcmaes
Version: 0.10-2
Description: libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy.
URL: https://github.com/CMA-ES/libcmaes
NumVotes: 0
Popularity: 0
OutOfDate:
Maintainer: benallard
Submitter: b52
FirstSubmitted: 1437829494
LastModified: 1663523416
URLPath: /cgit/aur.git/snapshot/libcmaes.tar.gz
Name: libcmaes
PackageBaseID: 96384
PackageBase: libcmaes
Version: 0.10-2
Description: libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy.
URL: https://github.com/CMA-ES/libcmaes
NumVotes: 0
Popularity: 0
OutOfDate:
Maintainer: benallard
Submitter: b52
FirstSubmitted: 1437829494
LastModified: 1663523416
URLPath: /cgit/aur.git/snapshot/libcmaes.tar.gz