How to Install and Uninstall libjama-dev Package on Kali Linux

Last updated: May 12,2024

1. Install "libjama-dev" package

Please follow the guidelines below to install libjama-dev on Kali Linux

$ sudo apt update $ sudo apt install libjama-dev

2. Uninstall "libjama-dev" package

In this section, we are going to explain the necessary steps to uninstall libjama-dev on Kali Linux:

$ sudo apt remove libjama-dev $ sudo apt autoclean && sudo apt autoremove

3. Information about the libjama-dev package on Kali Linux

Package: libjama-dev
Source: libjama
Version: 1.2.4-4
Installed-Size: 113
Maintainer: Anibal Monsalve Salazar
Architecture: all
Depends: libtnt-dev
Size: 52408
SHA256: 06ae6b4c59170dc83144c917373c799d233e613e4b139c4d2fe4e1970051ea93
SHA1: 03c87ee9d1319dea0c23121d469b3ddbeb84ea7f
MD5sum: 1f8569b3b7633ce44beccda6c49963a9
Description: C++ Linear Algebra Package
JAMA/C++ was adapted for The Template Numerical Toolkit (TNT) from
JAMA, a Java Matrix Library, developed jointly by the Mathworks and
NIST. See http://math.nist.gov/javanumerics/jama for more information.
.
TNT is a collection of interfaces and reference implementations of
numerical objects useful for scientific computing in C++. The toolkit
defines interfaces for basic data structures, such as multidimensional
arrays and sparse matrices, commonly used in numerical applications.
The goal of this package is to provide reusable software components
that address many of the portability and maintenance problems with C++
codes.
.
TNT provides a distinction between interfaces and implementations of
TNT components. For example, there is a TNT interface for
two-dimensional arrays which describes how individual elements are
accessed and how certain information, such as the array dimensions, can
be used in algorithms; however, there can be several implementations of
such an interface: one that uses expression templates, or one that uses
BLAS kernels, or another that is instrumented to provide debugging
information. By specifying only the interface, applications codes may
utilize such algorithms, while giving library developers the greatest
flexibility in employing optimization or portability strategies.
Description-md5:
Homepage: http://math.nist.gov/tnt/
Tag: devel::lang:c++, devel::library, field::mathematics,
implemented-in::c++, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/libj/libjama/libjama-dev_1.2.4-4_all.deb