How to Install and Uninstall libtrilinos-ml-13.2 Package on Kali Linux

Last updated: May 20,2024

1. Install "libtrilinos-ml-13.2" package

This is a short guide on how to install libtrilinos-ml-13.2 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libtrilinos-ml-13.2
            
                    
    
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2. Uninstall "libtrilinos-ml-13.2" package

This tutorial shows how to uninstall libtrilinos-ml-13.2 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libtrilinos-ml-13.2
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libtrilinos-ml-13.2 package on Kali Linux

Package: libtrilinos-ml-13.2
Source: trilinos (13.2.0-5)
Version: 13.2.0-5+b1
Installed-Size: 3147
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libopenmpi3 (>= 4.1.6), libscotch-7.0 (>= 7.0.4), libstdc++6 (>= 13.1), libtrilinos-amesos-13.2 (>= 13.2.0), libtrilinos-aztecoo-13.2 (>= 13.2.0), libtrilinos-epetra-13.2 (>= 13.2.0), libtrilinos-epetraext-13.2 (>= 13.2.0), libtrilinos-galeri-13.2 (>= 13.2.0), libtrilinos-ifpack-13.2 (>= 13.2.0), libtrilinos-teuchos-13.2 (>= 13.2.0), libtrilinos-zoltan-13.2 (>= 13.2.0)
Size: 1008760
SHA256: cf6d30ee9e0092cf13747d9f4b0bc9fa6eb4f50976bc619034b545ea8a383310
SHA1: b91db4387d1f652eb176db33fb8b66094f85144e
MD5sum: 16df4302833201ca8bd1707a1b9528dc
Description: multigrid preconditioning - runtime files
ML is Sandia's main multigrid preconditioning package. ML is designed to solve
large sparse linear systems of equations arising primarily from elliptic PDE
discretizations. ML is used to define and build multigrid solvers and
preconditioners, and it contains black-box classes to construct
highly-scalable smoothed aggregation preconditioners. ML preconditioners have
been used on thousands of processors for a variety of problems, including the
incompressible Navier-Stokes equations with heat and mass transfer, linear and
nonlinear elasticity equations, the Maxwell equations, semiconductor
equations, and more.
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This package contains the dynamic libraries.
Description-md5:
Multi-Arch: same
Homepage: https://trilinos.github.io/
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/t/trilinos/libtrilinos-ml-13.2_13.2.0-5+b1_amd64.deb