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                <identifier>oai:data.mendeley.com/2ygysdsfgx.1</identifier>
                <datestamp>2005-07-15T11:00:00Z</datestamp>
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    <dc:creator>CPC, Mendeley</dc:creator>
    <dc:title>Class library ranlip for multivariate nonuniform random variate generation </dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Abstract 
 This paper describes generation of nonuniform random variates from Lipschitz-continuous densities using acceptance/rejection, and the class library ranlip which implements this method. It is assumed that the required distribution has Lipschitz-continuous density, which is either given analytically or as a black box. The algorithm builds a piecewise constant upper approximation to the density (the hat function), using a large number of its values and subdivision of the domain into hyperrectang...
 
 Title of program: Ranlip
 Catalogue Id: ADVP_v1_0
 
 Nature of problem 
 This program allows one to generate nonuniform random vectors from a variety of distributions (especially multimodal), using acceptance/rejection approach. Suitable for non-standard distributions for up to five variables.
 
 Versions of this program held in the CPC repository in Mendeley Data
 ADVP_v1_0; Ranlip; 10.1016/j.cpc.2005.03.105
 
 This program has been imported from the CPC Program Library held at Queen&apos;s University Belfast (1969-2018)</dc:description>
    <dc:subject>Computational Physics</dc:subject>
    <dc:subject>Computational Method</dc:subject>
    <dc:contributor>Beliakov, Gleb</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/2ygysdsfgx.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/2ygysdsfgx.1</dc:identifier>
    <dc:rights>Computer Physics Communications Journal Licence</dc:rights>
    <dc:rights>https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/2ygysdsfgx</dc:relation>
    <dc:date>2005-07-15T11:00:00Z</dc:date>
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