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

Last updated: May 16,2024

1. Install "libspectra-dev" package

This guide covers the steps necessary to install libspectra-dev on Kali Linux


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

Please follow the instructions below to uninstall libspectra-dev on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libspectra-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libspectra-dev package on Kali Linux

Package: libspectra-dev
Source: spectra
Version: 1.0.1-3
Installed-Size: 410
Maintainer: Debian Math Team
Architecture: all
Depends: libeigen3-dev
Size: 61760
SHA256: d543ca7d2f174ce93c347d4520d69ebdda9d20a3fd7a883d24fd55ab631344e2
SHA1: 868e969e16a1fccf2a5ab6f5c9f7776ac5d8f251
MD5sum: cc0a34615b77806e52ff35d7496d40c5
Description: library for large scale eigenvalue problems (development files)
Spectra stands for Sparse Eigenvalue Computation Toolkit as a Redesigned
ARPACK. It is a C++ library for large scale eigenvalue problems, built on top
of Eigen, an open source linear algebra library.
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Spectra is implemented as a header-only C++ library, whose only dependency,
Eigen, is also header-only. Hence Spectra can be easily embedded in C++
projects that require calculating eigenvalues of large matrices.
.
Spectra is designed to calculate a specified number of eigenvalues of a large
square matrix. Usually this number of eigenvalues is much smaller than the
size of the matrix, so that only a few eigenvalues and eigenvectors are
computed, which in general is more efficient than calculating the whole
spectral decomposition. Users can choose eigenvalue selection rules to pick
the eigenvalues of interest, such as the largest k eigenvalues, or eigenvalues
with largest real parts, etc.
Description-md5:
Multi-Arch: foreign
Homepage: https://spectralib.org/
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/s/spectra/libspectra-dev_1.0.1-3_all.deb