How to Install and Uninstall r-cran-rlinsolve Package on Kali Linux

Last updated: November 26,2024

1. Install "r-cran-rlinsolve" package

Please follow the guidelines below to install r-cran-rlinsolve on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-rlinsolve
            
                    
    
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2. Uninstall "r-cran-rlinsolve" package

This guide covers the steps necessary to uninstall r-cran-rlinsolve on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-rlinsolve
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-rlinsolve package on Kali Linux

Package: r-cran-rlinsolve
Version: 0.3.2-1
Installed-Size: 1061
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rcpp (>= 0.12.4), r-cran-matrix, r-cran-rdpack, r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Size: 389064
SHA256: 799baab75cae9fa4cc66e6364f1e8ab40ce6b6937df1ccba51d062d03e894c83
SHA1: b5ed1d6282606b81501d63bd8650e75cdef86c36
MD5sum: 0206343e19ec8c0107faf8a5206d6f06
Description: Iterative Solvers for (Sparse) Linear System of Equations
Solving a system of linear equations is one of the most fundamental
computational problems for many fields of mathematical studies, such as
regression problems from statistics or numerical partial differential
equations. Rlinsolve provides basic stationary iterative solvers such as
Jacobi, Gauss-Seidel, Successive Over-Relaxation and SSOR methods.
Nonstationary, also known as Krylov subspace methods are also provided.
Sparse matrix computation is also supported in that solving large and sparse
linear systems can be manageable using Matrix package along with
RcppArmadillo. For a more detailed description, see a book by Saad (2003),
doi:10.1137/1.9780898718003.
Description-md5:
Homepage: https://cran.r-project.org/package=Rlinsolve
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-rlinsolve/r-cran-rlinsolve_0.3.2-1_amd64.deb