How to Install and Uninstall jblas-doc Package on Kali Linux
Last updated: November 26,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "jblas-doc" package
Please follow the instructions below to install jblas-doc on Kali Linux
$
sudo apt update
Copied
$
sudo apt install
jblas-doc
Copied
2. Uninstall "jblas-doc" package
Here is a brief guide to show you how to uninstall jblas-doc on Kali Linux:
$
sudo apt remove
jblas-doc
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the jblas-doc package on Kali Linux
Package: jblas-doc
Source: jblas
Version: 1.2.4-3
Installed-Size: 9604
Maintainer: Debian Java Maintainers
Architecture: all
Recommends: jblas
Size: 486148
SHA256: 68b86a4c8a8c0c08cba57e3233c30dad3c505109a0d905c58d349e406ba1fd54
SHA1: 95de89d30e5643cfb435acd11a461adb0716d2d9
MD5sum: 0a3558e744da10ed34ba3b4c66733fa0
Description: fast linear algebra library for Java --documentation
jblas is a fast linear algebra library for Java. jblas is essentially
a light-weight wrapper around BLAS and LAPACK routines, the
de-facto industry standard for matrix computations. It uses
state-of-the-art implementations like ATLAS for all its computational
routines, making it very fast.
.
This package contains the documentation.
Description-md5: 6a21c63b0dfb12f9dc0968fd1b129ec0
Homepage: http://jblas.org
Tag: devel::doc, devel::lang:java, made-of::html, role::documentation
Section: doc
Priority: optional
Filename: pool/main/j/jblas/jblas-doc_1.2.4-3_all.deb
Source: jblas
Version: 1.2.4-3
Installed-Size: 9604
Maintainer: Debian Java Maintainers
Architecture: all
Recommends: jblas
Size: 486148
SHA256: 68b86a4c8a8c0c08cba57e3233c30dad3c505109a0d905c58d349e406ba1fd54
SHA1: 95de89d30e5643cfb435acd11a461adb0716d2d9
MD5sum: 0a3558e744da10ed34ba3b4c66733fa0
Description: fast linear algebra library for Java --documentation
jblas is a fast linear algebra library for Java. jblas is essentially
a light-weight wrapper around BLAS and LAPACK routines, the
de-facto industry standard for matrix computations. It uses
state-of-the-art implementations like ATLAS for all its computational
routines, making it very fast.
.
This package contains the documentation.
Description-md5: 6a21c63b0dfb12f9dc0968fd1b129ec0
Homepage: http://jblas.org
Tag: devel::doc, devel::lang:java, made-of::html, role::documentation
Section: doc
Priority: optional
Filename: pool/main/j/jblas/jblas-doc_1.2.4-3_all.deb