Numerical Modelling of Random Processes and Fields

Numerical Modelling of Random Processes and Fields
Author: V. A. Ogorodnikov
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 252
Release: 2018-11-05
Genre: Mathematics
ISBN: 3110941996
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Numerical Modelling of Random Processes and Fields
Language: en
Pages: 252

Numerical Modelling of Random Processes and Fields

Authors: V. A. Ogorodnikov
Categories: Mathematics
Type: BOOK - Published: 2018-11-05 - Publisher: Walter de Gruyter GmbH & Co KG

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No detailed description available for "Numerical Modelling of Random Processes and Fields".
Models of Random Processes
Language: en
Pages: 456

Models of Random Processes

Authors: Igor N. Kovalenko
Categories: Mathematics
Type: BOOK - Published: 1996-07-08 - Publisher: CRC Press

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Devising and investigating random processes that describe mathematical models of phenomena is a major aspect of probability theory applications. Stochastic meth
Spectral Models of Random Fields in Monte Carlo Methods
Language: en
Pages: 220

Spectral Models of Random Fields in Monte Carlo Methods

Authors: Serge M. Prigarin
Categories: Science
Type: BOOK - Published: 2001 - Publisher: VSP

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Spectral models were developed in the 1970s and have appeared to be very promising for various applications. Nowadays, spectral models are extensively used for
Stochastic Simulation and Monte Carlo Methods
Language: en
Pages: 264

Stochastic Simulation and Monte Carlo Methods

Authors: Carl Graham
Categories: Mathematics
Type: BOOK - Published: 2013-07-16 - Publisher: Springer Science & Business Media

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In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practit
Stochastic Processes: Modeling and Simulation
Language: en
Pages: 1028

Stochastic Processes: Modeling and Simulation

Authors: D N Shanbhag
Categories: Mathematics
Type: BOOK - Published: 2003-02-24 - Publisher: Gulf Professional Publishing

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This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme of reviewing and, in som