How to Install and Uninstall libjama-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: December 23,2024

1. Install "libjama-dev" package

This guide covers the steps necessary to install libjama-dev on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install libjama-dev

2. Uninstall "libjama-dev" package

This guide let you learn how to uninstall libjama-dev on Ubuntu 16.04 LTS (Xenial Xerus):

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

3. Information about the libjama-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libjama-dev
Priority: optional
Section: universe/libdevel
Installed-Size: 156
Maintainer: Ubuntu MOTU Developers
Original-Maintainer: Juan Esteban Monsalve Tobon
Architecture: all
Source: libjama
Version: 1.2.4-2
Depends: libtnt-dev
Filename: pool/universe/libj/libjama/libjama-dev_1.2.4-2_all.deb
Size: 54260
MD5sum: 360fb93dcade5060bf45498dcece5451
SHA1: 785056916a78c6452b49252ab7b61f7fa6953567
SHA256: aa3fd3b3a0068ad5f7db87c790dd9ad80a0a3d6e805a20e14f924a5078057adc
Description-en: 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.
.
Homepage: http://math.nist.gov/tnt/
Description-md5: 72d61ecb9e413f88c0c8edaa9bc63689
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu