Stochastic Methods In Experimental Sciences

Stochastic Methods In Experimental Sciences
Author: Waclaw Kasprzak
Publisher: World Scientific
Total Pages: 490
Release: 1990-08-23
Genre:
ISBN: 9814611948

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This volume, containing selected papers presented during the COSMEX '89 meeting, provides readers with integrative and innovative articles on many aspects on many aspects of stochastic methods and their applications to experimental sciences. Offering an interdisciplinary presentation on the uses of stochastic methods, this publication discusses the practical applications of stochastic methods to such diverse areas as biology, chemistry, physics, mechanics and engineering. It also discusses computer implementation of theoretically derived algorithms especially for experimental designs.


Stochastic Methods In Experimental Sciences
Language: en
Pages: 490
Authors: Waclaw Kasprzak
Categories:
Type: BOOK - Published: 1990-08-23 - Publisher: World Scientific

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This volume, containing selected papers presented during the COSMEX '89 meeting, provides readers with integrative and innovative articles on many aspects on ma
Stochastic Methods in Experimental Sciences
Language: en
Pages: 490
Authors: Waclaw Kasprzak
Categories: MATHEMATICS
Type: BOOK - Published: 1990 - Publisher:

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Stochastic Processes
Language: en
Pages: 255
Authors: Peter Watts Jones
Categories: Mathematics
Type: BOOK - Published: 2017-10-30 - Publisher: CRC Press

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Based on a well-established and popular course taught by the authors over many years, Stochastic Processes: An Introduction, Third Edition, discusses the modell
Handbook of Stochastic Methods
Language: en
Pages: 442
Authors: Crispin W. Gardiner
Categories: Processus stochastiques
Type: BOOK - Published: 1983 - Publisher:

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Stochastic Methods for Parameter Estimation and Design of Experiments in Systems Biology
Language: en
Pages: 164
Authors: Andrei Kramer
Categories: Computers
Type: BOOK - Published: 2016-02-11 - Publisher: Logos Verlag Berlin GmbH

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Markov Chain Monte Carlo (MCMC) methods are sampling based techniques, which use random numbers to approximate deterministic but unknown values. They can be use