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| 037 |
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|a com.springer.onix.9783030470913
|b Springer Nature
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4 |
|a QA274.2
|b .C48 2020
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Chueshov, Igor,
|d 1951-2016,
|e author.
|1 https://id.oclc.org/worldcat/entity/E39PBJtcBMfgwgQJDhhVpYFqcP
|
| 245 |
1 |
0 |
|a Synchronization in infinite-dimensional deterministic and stochastic systems /
|c Igor Chueshov, Björn Schmalfuß.
|
| 264 |
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1 |
|a Cham, Switzerland :
|b Springer,
|c [2020]
|
| 300 |
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|a 1 online resource (xix, 329 pages)
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
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| 347 |
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|b PDF
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| 490 |
1 |
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|a Applied mathematical sciences,
|x 0066-5452 ;
|v volume 204
|
| 504 |
|
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|a Includes bibliographical references and index.
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| 505 |
0 |
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|a Introduction -- Part I: Deterministic Systems -- Synchronization of global attractors and individual trajectories -- Master-slave synchronization via invariant manifolds -- Part II: Stochastic Systems -- Stochastic Synchronization of Random Pullback Attractors -- Master-slave synchronization in random systems.
|
| 520 |
|
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|a The main goal of this book is to systematically address the mathematical methods that are applied in the study of synchronization of infinite-dimensional evolutionary dissipative or partially dissipative systems. It bases its unique monograph presentation on both general and abstract models and covers several important classes of coupled nonlinear deterministic and stochastic PDEs which generate infinite-dimensional dissipative systems. This text, which adapts readily to advanced graduate coursework in dissipative dynamics, requires some background knowledge in evolutionary equations and introductory functional analysis as well as a basic understanding of PDEs and the theory of random processes. Suitable for researchers in synchronization theory, the book is also relevant to physicists and engineers interested in both the mathematical background and the methods for the asymptotic analysis of coupled infinite-dimensional dissipative systems that arise in continuum mechanics.
|
| 588 |
0 |
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|a Online resource; title from digital title page (viewed on September 08, 2020).
|
| 650 |
|
0 |
|a Stochastic systems.
|
| 650 |
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0 |
|a Stochastic systems
|x Mathematical models.
|
| 650 |
|
0 |
|a System analysis.
|
| 650 |
|
7 |
|a systems analysis.
|2 aat
|
| 650 |
|
7 |
|a Stochastic systems
|2 fast
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| 650 |
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7 |
|a Stochastic systems
|x Mathematical models
|2 fast
|
| 650 |
|
7 |
|a System analysis
|2 fast
|
| 700 |
1 |
|
|a Schmalfuss, Björn,
|e author.
|
| 776 |
0 |
8 |
|i Print version:
|a Chueshov, Igor.
|t Synchronization in Infinite-Dimensional Deterministic and Stochastic Systems.
|d Cham : Springer International Publishing AG, ©2020
|z 9783030470906
|
| 830 |
|
0 |
|a Applied mathematical sciences (Springer-Verlag New York Inc.) ;
|v v. 204.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-47091-3
|y Click for online access
|
| 903 |
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|a SPRING-MATH2020
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| 994 |
|
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|a 92
|b HCD
|