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Pouzyry: a novel class of algorithms for restoring a function from a random sample

โœ Scribed by F.V. Tkachov

Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
199 KB
Volume
534
Category
Article
ISSN
0168-9002

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โœฆ Synopsis

A novel class of algorithms for restoring a function from a random sample is based on the concept of weak convergence, borrows algorithmic solutions from the Optimal Jet Finder (hep-ph/0301185), offers a considerable algorithmic flexibility, is applicable to non-positive functions, is insensitive to the choice of coordinate axes. A first implementation demonstrates feasibility of the approach.

๐Ÿ“œ SIMILAR VOLUMES

A class of N-dimensional probability den
A class of N-dimensional probability density functions suitable for random generation
โœ A. De Angelis ๐Ÿ“‚ Article ๐Ÿ“… 1988 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 315 KB

The class of N-dimensional probability density functions such that the generation of a random vector can be reconducted through a linear transformation to the generation of N independent random numbers is described. Instances in physics when such functions can be used for parametrization in a Monte