How to Install and Uninstall libjama-java Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 23,2024

1. Install "libjama-java" package

Please follow the guidelines below to install libjama-java on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libjama-java
            
                    
    
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2. Uninstall "libjama-java" package

Learn how to uninstall libjama-java on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libjama-java
            
                    
    
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            $
        

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

Package: libjama-java
Architecture: all
Version: 1.0.3-2
Priority: optional
Section: universe/libs
Source: jama
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Java Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 49
Filename: pool/universe/j/jama/libjama-java_1.0.3-2_all.deb
Size: 30368
MD5sum: 25f38b922d4946bec30615b4ec2430b9
SHA1: 99bef59704108f8d7f6cd1e8e7589e29e0f5e7a3
SHA256: 6ad9b40f4bfcdf7ee13b5b30a11e638542931e973f1372be1f9e52c860382d80
SHA512: aa1ac24de63ebc8e2e19cc35f7621550269da7edc6315320429ec7e93a95f7a855b4f15d60cac8c3128c690f343b235814bd948b9525cd0d8abd09e82e824d72
Homepage: http://math.nist.gov/javanumerics/jama/
Description-en: Basic linear algebra library for Java
Provides fundamental operations of numerical linear algebra. The package
provides five matrix decompositions. These decompositions are accessed by
the Matrix class to compute solutions of simultaneous linear equations,
determinants, inverses and other matrix functions.
.
The five decompositions are:
* Cholesky Decomposition of symmetric, positive definite matrices
* LU Decomposition (Gaussian elimination) of rectangular matrices
* QR Decomposition of rectangular matrices
* Eigenvalue Decomposition of both symmetric and nonsymmetric square matrices
* Singular Value Decomposition of rectangular matrices
Description-md5: 1f42a505ebab68b4fe9cb3a9719588ef