How to Install and Uninstall python-bumps-doc Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 14,2024

1. Install "python-bumps-doc" package

Please follow the steps below to install python-bumps-doc on Ubuntu 21.10 (Impish Indri)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-bumps-doc
            
                    
    
    Copied

2. Uninstall "python-bumps-doc" package

Learn how to uninstall python-bumps-doc on Ubuntu 21.10 (Impish Indri):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-bumps-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-bumps-doc package on Ubuntu 21.10 (Impish Indri)

Package: python-bumps-doc
Architecture: all
Version: 0.8.0-1
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: python-bumps
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 7917
Depends: libjs-jquery, libjs-mathjax, libjs-sphinxdoc (>= 2.4.3-5~)
Filename: pool/universe/p/python-bumps/python-bumps-doc_0.8.0-1_all.deb
Size: 2829848
MD5sum: 96608f692c4daf7711f12322c6eb35fc
SHA1: 4fac233a2e1bcdf3242db6ea109132312cdb38c6
SHA256: ffbb537ade251c457f7b63073b812d593fc2bbe5a680cdef5da089a29f988fb5
SHA512: ed64ecc8d5a876826771971b23791e210017df2048f619546a2c4ba496f96566424a03944138431333221b7476801318ec7e8eeb9e30a0de3ce15b78742106e2
Homepage: https://github.com/bumps/bumps
Description-en: data fitting and Bayesian uncertainty modeling for inverse problems (docs)
Bumps is a set of routines for curve fitting and uncertainty analysis
from a Bayesian perspective. In addition to traditional optimizers
which search for the best minimum they can find in the search space,
bumps provides uncertainty analysis which explores all viable minima
and finds confidence intervals on the parameters based on uncertainty
in the measured values. Bumps has been used for systems of up to 100
parameters with tight constraints on the parameters. Full uncertainty
analysis requires hundreds of thousands of function evaluations,
which is only feasible for cheap functions, systems with many
processors, or lots of patience.
.
Bumps includes several traditional local optimizers such as
Nelder-Mead simplex, BFGS and differential evolution. Bumps
uncertainty analysis uses Markov chain Monte Carlo to explore the
parameter space. Although it was created for curve fitting problems,
Bumps can explore any probability density function, such as those
defined by PyMC. In particular, the bumps uncertainty analysis works
well with correlated parameters.
.
Bumps can be used as a library within your own applications, or as a
framework for fitting, complete with a graphical user interface to
manage your models.
.
This is the common documentation package.
Description-md5: 5702af68b4795b287caa20016881e74b