How to Install and Uninstall libalglib3.14 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 20,2024

1. Install "libalglib3.14" package

This is a short guide on how to install libalglib3.14 on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libalglib3.14
            
                    
    
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2. Uninstall "libalglib3.14" package

This is a short guide on how to uninstall libalglib3.14 on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libalglib3.14
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libalglib3.14 package on Ubuntu 20.10 (Groovy Gorilla)

Package: libalglib3.14
Architecture: amd64
Version: 3.16.0-1build1
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: alglib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3796
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Filename: pool/universe/a/alglib/libalglib3.14_3.16.0-1build1_amd64.deb
Size: 1096972
MD5sum: 889c5afe0d9c91ea3e72ea3710458642
SHA1: f67fa1ea89a11c521b2d830e03fa29a4e304de63
SHA256: 987c88037e9233e714630f0224dbabe2b3515644475930460544f698260a018f
SHA512: 9904b4d99fcb7d0255283c4560bddee66974d98ea818fde350cdac43124bc8424b11a59ad1211bb222f81ab7a91bf6f3ac86e0a60fc0fe91bcd733294d301ec9
Homepage: https://www.alglib.net/
Description-en: Numerical analysis and data processing 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)
Description-md5: db996366870b5e4994f3be825a136ae6