How to Install and Uninstall libalglib3.17 Package on Ubuntu 21.10 (Impish Indri)

Last updated: June 06,2024

1. Install "libalglib3.17" package

Please follow the guidance below to install libalglib3.17 on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libalglib3.17
            
                    
    
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2. Uninstall "libalglib3.17" package

Learn how to uninstall libalglib3.17 on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libalglib3.17
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libalglib3.17 package on Ubuntu 21.10 (Impish Indri)

Package: libalglib3.17
Architecture: amd64
Version: 3.17.0-2
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: 3940
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Filename: pool/universe/a/alglib/libalglib3.17_3.17.0-2_amd64.deb
Size: 1151568
MD5sum: 64b77b9eb8115ec2dc6825d60bd7be85
SHA1: 71ab4173dae58741baa67c9af217d1c6f52aaabf
SHA256: 5b0c805e4accb4ef45766fc5dcf13bacdbd3740b62c7f7bc0b0a057c45b7f321
SHA512: 1ec58684dc117cd7b8393c324e23ccb4049a4285237173abd407124243341869ffc43bfa9100ad81cd7941c545b5fbe3911f3f6fcdedaaca1fa46c6d9138b93d
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:
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* 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