Applied methods of the theory of random functions

by A. A. Sveshnikov

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Published 1966 by Pergamon in Oxford .
Written in English

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Edition Notes

Translation of: Prikladnye metody teorii sluchainykh funktsii, Sudpromgiz, 1961.

Statement	translated [from the Russian] by J. Berry ; translation edited by L. Haller.
Series	International series of monographs in pure and applied mathematics -- 89
The Physical Object
Pagination	317p.,ill.,23cm
Number of Pages	317
ID Numbers
Open Library	OL20679407M

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Iterated random functions are used to draw pictures or simulate large Ising models, among other applications. They offer a method for studying the steady state distribution of a Markov chain, and give useful bounds on rates of convergence in a variety of examples. The present paper surveys the field and presents some new examples. There is a simple unifying idea: the iterates of random Cited by: This book is meant to provide an introduction to vectors, matrices, and least squares methods, basic topics in applied linear algebra. Our goal is to give the beginning student, with little or no prior exposure to linear algebra, a good ground-ing in the basic ideas, as well .

  Open Library is an open, editable library catalog, building towards a web page for every book ever published. Methods and programs for mathematical functions by Stephen Lloyd Baluk Moshier, , E. Horwood, Halsted Press edition, in EnglishCited by: Applied Stochastic Processes in Science and Engineering by Matt Scott. Publisher: University of Waterloo Number of pages: Description: This book is designed as an introduction to the ideas and methods used to formulate mathematical models of physical processes in terms of random functions. This is the first work in English to provide a comprehensive and rigorous account of an area of active recent research, in which a number of fundamental results have been obtained – and applied – not only by pure mathematicians but also by theoretical physicists investigating the quantum field. Heretofore, these results have been scattered piecemeal in periodicals, and the subject has been.

Quadratic Forms in Random Variables: Theory and Applications Chapter (PDF Available) in Journal of the American Statistical Association 87() December with 5, Reads How we measure 'reads'. Lectures on stochastic programming: modeling and theory / Alexander Shapiro, Darinka Dentcheva, Andrzej Ruszczynski. p. cm. -- (MPS-SIAM series on optimization ; 9). The theory of random functions is a very important and advanced part of modem probability theory, which is very interesting from the mathematical point of view and has many practical applications. In applications, one has to deal particularly often with the special case of stationary random functions.