How to Install and Uninstall libgtsam4 Package on Ubuntu 24.04 LTS (Noble Numbat)

Last updated: May 18,2024

1. Install "libgtsam4" package

Here is a brief guide to show you how to install libgtsam4 on Ubuntu 24.04 LTS (Noble Numbat)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libgtsam4
            
                    
    
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2. Uninstall "libgtsam4" package

Please follow the step by step instructions below to uninstall libgtsam4 on Ubuntu 24.04 LTS (Noble Numbat):


    
        
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                sudo apt remove
            
                        
                libgtsam4
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libgtsam4 package on Ubuntu 24.04 LTS (Noble Numbat)

Package: libgtsam4
Architecture: amd64
Version: 4.2.0+dfsg-1build1
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: gtsam
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4243
Depends: libboost-filesystem1.83.0 (>= 1.83.0), libboost-serialization1.83.0 (>= 1.83.0), libboost-timer1.83.0 (>= 1.83.0), libc6 (>= 2.29), libccolamd3 (>= 1:7.0.1), libgcc-s1 (>= 4.0), libmetis5 (>= 5.1.0.dfsg), libstdc++6 (>= 13.1), libtbb12 (>= 2021.4.0), libtbbmalloc2 (>= 2017~U7)
Filename: pool/universe/g/gtsam/libgtsam4_4.2.0+dfsg-1build1_amd64.deb
Size: 1318214
MD5sum: 44b350b6459fcead138e7e2b1b2c9023
SHA1: cf76ba8151945e1954ebcfee6faa02f8c46dc91d
SHA256: 5ba30c186c05e2d7ff39d4b2a2e90690ffdac014a1a4cb98d332a8ce38eff226
SHA512: e15fd2ed1109604a4ff3172c9d5bee72a259cb1146d4b5bc0766ed27fd7c1c66cf2c590220eb31c29da1b42bc460e6da420edac1b9cc5a86d84deeba6ab4483d
Homepage: http://www.gtsam.org
Description: Factor graphs for sensor fusion in robotics
Description-md5: 65b87756940d8ce134a9dff916ba336b