How to Install and Uninstall libalglib-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 20,2024

1. Install "libalglib-dev" package

Learn how to install libalglib-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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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 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: libalglib-dev
Architecture: amd64
Version: 3.16.0-1build1
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: 5073
Depends: libalglib3.14 (= 3.16.0-1build1)
Filename: pool/universe/a/alglib/libalglib-dev_3.16.0-1build1_amd64.deb
Size: 347496
MD5sum: 34dd63626fc7fc20625f646c4bf8f769
SHA1: 04c2e706e7ead64d4f1806af8ec6a1a7d37f9017
SHA256: 58dca0b912ac3bd3c71d815fc91e328547c56bff9f5798e91184faea023c5198
SHA512: dcb4d37621aba53b4c0929c0331109e2ae066608e2d6b27869f4dea7859093f366a44f215d4457ea6c3e2f0d1f2ddcbdbb86da2e9baef77cf450b9fa95f3f501
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