How to Install and Uninstall libalglib-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 20,2024

1. Install "libalglib-dev" package

This is a short guide on how to install libalglib-dev on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libalglib-dev
            
                    
    
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2. Uninstall "libalglib-dev" package

Please follow the instructions below to uninstall libalglib-dev on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libalglib-dev
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libalglib-dev package on Ubuntu 21.10 (Impish Indri)

Package: libalglib-dev
Architecture: amd64
Version: 3.17.0-2
Priority: extra
Section: universe/libdevel
Source: alglib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 5166
Depends: libalglib3.17 (= 3.17.0-2)
Filename: pool/universe/a/alglib/libalglib-dev_3.17.0-2_amd64.deb
Size: 353580
MD5sum: b61f4110c63153c206248b67a4c64a52
SHA1: ea7cbbf6e218f421cfc9c8847b3aef26e5f0a7f6
SHA256: 057481f7624f00c97e1f71018eeb0abfbdff9ba2c053de74d388e2d4b8173978
SHA512: 1663b074f91aca90fa2bfe99666529018242959e4432dc0192e84e644436e33479d59046924e7ffbc0ef0ac6e0f872b89d2c9a6d418ff4ee2cf02478f0b35605
Homepage: https://www.alglib.net/
Description-en: Development files for the alglib library
ALGLIB is a cross-platform numerical analysis and data processing library.
This package support C++. ALGLIB features include:
.
* Linear algebra (direct algorithms, EVD/SVD)
* Solvers (linear and nonlinear)
* Interpolation
* Optimization
* Fast Fourier transforms
* Numerical integration
* Linear and nonlinear least-squares fitting
* Ordinary differential equations
* Special functions
* Statistics (descriptive statistics, hypothesis testing)
* Data analysis (classification/regression, including neural networks)
.
This package contains the development files (headers and documentation) for
ALGLIB.
Description-md5: b4738e0f01a0b7c1868e2aa5e279816b