How to Install and Uninstall python3-amgcl Package on Kali Linux

Last updated: May 18,2024

1. Install "python3-amgcl" package

This tutorial shows how to install python3-amgcl on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-amgcl
            
                    
    
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2. Uninstall "python3-amgcl" package

Please follow the steps below to uninstall python3-amgcl on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-amgcl
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-amgcl package on Kali Linux

Package: python3-amgcl
Source: amgcl
Version: 1.4.3-5
Installed-Size: 564
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libc6 (>= 2.32), libgcc-s1 (>= 3.3.1), libgomp1 (>= 4.9), libstdc++6 (>= 12.2.0-12), python3 (<< 3.12), python3 (>= 3.11~), python3:any
Size: 207532
SHA256: d2314c28bd2fcbfbfaa1f7ad2c39496b5b6cc5f4605539440dd29c1a2f638e32
SHA1: 5d3984beb044fea87ba7b0de253eb5665fce0afc
MD5sum: 720457eafb5a08b259758ba4d939cd0f
Description: Solves large sparse linear systems with algebraic multigrid method
AMG is one of the most effective iterative methods for solution of equation
systems arising, for example, from discretizing PDEs on unstructured grids. The
method can be used as a black-box solver for various computational problems,
since it does not require any information about the underlying geometry. AMG is
often used not as a standalone solver but as a preconditioner within an
iterative solver (e.g. Conjugate Gradients, BiCGStab, or GMRES).
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AMGCL builds the AMG hierarchy on a CPU and then transfers it to one of the
provided backends. This allows for transparent acceleration of the solution
phase with help of OpenCL, CUDA, or OpenMP technologies. Users may provide
their own backends which enables tight integration between AMGCL and the user
code.
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This package provides the Python interface
Description-md5:
Multi-Arch: same
Homepage: https://github.com/ddemidov/amgcl
Section: contrib/python
Priority: optional
Filename: pool/contrib/a/amgcl/python3-amgcl_1.4.3-5_amd64.deb