How to Install and Uninstall libmtj-java Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 26,2024

1. Install "libmtj-java" package

Please follow the step by step instructions below to install libmtj-java on Ubuntu 21.04 (Hirsute Hippo)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libmtj-java
            
                    
    
    Copied

2. Uninstall "libmtj-java" package

Please follow the step by step instructions below to uninstall libmtj-java on Ubuntu 21.04 (Hirsute Hippo):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libmtj-java
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libmtj-java package on Ubuntu 21.04 (Hirsute Hippo)

Package: libmtj-java
Architecture: all
Version: 0.9.14+dfsg-7
Priority: optional
Section: multiverse/java
Source: mtj
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Java Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 625
Filename: pool/multiverse/m/mtj/libmtj-java_0.9.14+dfsg-7_all.deb
Size: 126228
MD5sum: 12a0114ed610784f5b09509c34ef9f32
SHA1: d7bfcab739bd2c9f37b0f0f165ddd3e2747c1b4c
SHA256: bc3913227c6f98c1ea35c39cd58e37a089bcdaf94972f9c3eef472d36915f9be
SHA512: 4ed647078759da861622d98078c809f5a4640855c814a3e931e6021c322ef06d9dc5657d99c35e5ef233ad0490d181ed3c7377bf5a3c90736c6726a828e1fa09
Homepage: https://github.com/fommil/matrix-toolkits-java/
Description-en: Java library for developing numerical applications
MTJ is designed to be used as a library for developing numerical
applications, both for small and large scale computations. The library
is based on BLAS and LAPACK for its dense and structured sparse
computations, and on the Templates project for unstructured sparse
operations.
.
MTJ uses the netlib-java project as a backend, which can be set up to
use machine-optimised BLAS libraries for improved performance of dense
matrix operations, falling back to a pure Java implementation. This
ensures perfect portability, while allowing for improved performance in
a production environment.
Description-md5: 83d51bf9bf17c051b3fb647b16f73a89