Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing - Proceedings of a conference at the University of Nevada, Las Vegas, Nevada, USA, June 23-25, 1994 (Paperback, Softcover reprint of the original 1st ed. 1995)

Scientists and engineers are increasingly making use of simulation methods to solve problems which are insoluble by analytical techniques. Monte Carlo methods which make use of probabilistic simulations are frequently used in areas such as numerical integration, complex scheduling, queueing networks, and large-dimensional simulations. This collection of papers arises from a conference held at the University of Nevada, Las Vegas, in 1994. The conference brought together researchers across a range of disciplines whose interests include the theory and application of these methods. This volume provides a timely survey of this field and the new directions in which the field is moving.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Lecture Notes in Statistics, 106
Release date:	September 1995
First published:	1995
Editors:	Harald Niederreiter • Peter J. Shiue
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Paperback
Pages:	372
Edition:	Softcover reprint of the original 1st ed. 1995
ISBN-13:	978-0-387-94577-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	0-387-94577-6
Barcode:	9780387945774

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