How to Install and Uninstall libranlip1c2 Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 22,2024

1. Install "libranlip1c2" package

Please follow the guidelines below to install libranlip1c2 on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libranlip1c2
            
                    
    
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2. Uninstall "libranlip1c2" package

Please follow the instructions below to uninstall libranlip1c2 on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libranlip1c2
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libranlip1c2 package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libranlip1c2
Priority: optional
Section: universe/libs
Installed-Size: 130
Maintainer: Ubuntu Developers
Original-Maintainer: Juan Esteban Monsalve Tobon
Architecture: amd64
Source: libranlip
Version: 1.0-4.2
Depends: libc6 (>= 2.4), libstdc++6 (>= 4.1.1)
Conflicts: libranlip1
Filename: pool/universe/libr/libranlip/libranlip1c2_1.0-4.2_amd64.deb
Size: 104954
MD5sum: 43379c5c46f2d0de473c85244fd22194
SHA1: 647e4d4ac0353be165dcb12c8289c325f338c35d
SHA256: 3bd95fcf6c2edeb31efb6074e28d0b0cd7158e6e224fc2c9b954bded3d27cdf5
Description-en: generates random variates with multivariate Lipschitz density
RanLip generates random variates with an arbitrary multivariate
Lipschitz density.
.
While generation of random numbers from a variety of distributions is
implemented in many packages (like GSL library
http://www.gnu.org/software/gsl/ and UNURAN library
http://statistik.wu-wien.ac.at/unuran/), generation of random variate
with an arbitrary distribution, especially in the multivariate case, is
a very challenging task. RanLip is a method of generation of random
variates with arbitrary Lipschitz-continuous densities, which works in
the univariate and multivariate cases, if the dimension is not very
large (say 3-10 variables).
.
Lipschitz condition implies that the rate of change of the function (in
this case, probability density p(x)) is bounded:
.
|p(x)-p(y)| .
From this condition, we can build an overestimate of the density, so
called hat function h(x)>=p(x), using a number of values of p(x) at some
points. The more values we use, the better is the hat function. The
method of acceptance/rejection then works as follows: generatea random
variate X with density h(x); generate an independent uniform on (0,1)
random number Z; if p(X)<=Z h(X), then return X, otherwise repeat all
the above steps.
.
RanLip constructs a piecewise constant hat function of the required
density p(x) by subdividing the domain of p (an n-dimensional rectangle)
into many smaller rectangles, and computes the upper bound on p(x)
within each of these rectangles, and uses this upper bound as the value
of the hat function.
Description-md5: 16e6dead1c9f1967dcaf2f4e023985e2
Homepage: http://www.deakin.edu.au/~gleb/ranlip.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu