How to Install and Uninstall libp4est-2.2 Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: November 25,2024

1. Install "libp4est-2.2" package

Please follow the guidance below to install libp4est-2.2 on Ubuntu 22.10 (Kinetic Kudu)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libp4est-2.2
            
                    
    
    Copied

2. Uninstall "libp4est-2.2" package

This is a short guide on how to uninstall libp4est-2.2 on Ubuntu 22.10 (Kinetic Kudu):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libp4est-2.2
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libp4est-2.2 package on Ubuntu 22.10 (Kinetic Kudu)

Package: libp4est-2.2
Architecture: amd64
Version: 2.2-3
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: p4est
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 762
Depends: libc6 (>= 2.29), libopenmpi3, libp4est-sc-2.2 (>= 2.2), zlib1g (>= 1:1.2.2)
Filename: pool/universe/p/p4est/libp4est-2.2_2.2-3_amd64.deb
Size: 290084
MD5sum: 7048b2e3622f3884754b9ff986c58e29
SHA1: 4858201d2f150802cd92e68cbfcbe243d1ea19aa
SHA256: faee24b5b099cbcce9600296127eaaa2763cc4981a942e8d120cc745668b505f
SHA512: 7c5e98fa452b18a032809fe7002bbf569e2a414d53e5d7fbdac2208748a209aab8c4e6a3e3bec0e5016bb435391b05b9f0798ef3661401359682346e33c11e2e
Homepage: http://www.p4est.org/
Description: Algorithms for Parallel Adaptive Mesh Refinement - shared library
Description-md5: e80a50e228ca07830a64dd22d30e1642