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

Last updated: May 05,2024

1. Install "libtnt-dev" package

Please follow the guidelines below to install libtnt-dev on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libtnt-dev
            
                    
    
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2. Uninstall "libtnt-dev" package

Please follow the step by step instructions below to uninstall libtnt-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libtnt-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libtnt-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libtnt-dev
Priority: optional
Section: universe/libdevel
Installed-Size: 228
Maintainer: Juan Esteban Monsalve Tobon
Architecture: all
Source: libtnt
Version: 1.2.6-1
Filename: pool/universe/libt/libtnt/libtnt-dev_1.2.6-1_all.deb
Size: 62260
MD5sum: 7d50675d34899d48f9d2af0848036569
SHA1: 4c6f40c6a610063e22c87737b2f9d2d94bba9f29
SHA256: 853ce5af9125eea16f9e0c09158ead5ec3db3fdec742169b499c59c1f3562693
Description-en: interface for scientific computing in C++
The Template Numerical Toolkit (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.
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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: 9a3aff3c02a70e01c89860676d5952dd
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu