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Probability in Complex Physical Systems : In Honour of Erwin Bolthausen and Jürgen Gärtner / edited by Jean-Dominique Deuschel, Barbara Gentz, Wolfgang König, Max von Renesse, Michael Scheutzow, Uwe Schmock
(Springer Proceedings in Mathematics. ISSN:21905622 ; 11)

1st ed. 2012.
出版者 (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年 2012
本文言語 英語
大きさ XX, 512 p : online resource
著者標目 Deuschel, Jean-Dominique editor
Gentz, Barbara editor
König, Wolfgang editor
von Renesse, Max editor
Scheutzow, Michael editor
Schmock, Uwe editor
SpringerLink (Online service)
件 名 LCSH:Probabilities
LCSH:Statistics 
FREE:Probability Theory
FREE:Statistics
一般注記 Laudatio - The Mathematical Work of Jürgen Gärtner – Hollander -- Part I The Parabolic Anderson Model -- Part II Self-interacting Random Walks and Polymers -- Part III Branching Processes.-Part IV Miscellaneous Topics in Statistical Mechanics
Probabilistic approaches have played a prominent role in the study of complex physical systems for more than thirty years. This volume collects twenty articles on various topics in this field, including self-interacting random walks and polymer models in random and non-random environments, branching processes, Parisi formulas and metastability in spin glasses, and hydrodynamic limits for gradient Gibbs models. The majority of these articles contain original results at the forefront of contemporary research; some of them include review aspects and summarize the state-of-the-art on topical issues – one focal point is the parabolic Anderson model, which is considered with various novel aspects including moving catalysts, acceleration and deceleration and fron propagation, for both time-dependent and time-independent potentials. The authors are among the world’s leading experts. This Festschrift honours two eminent researchers, Erwin Bolthausen and Jürgen Gärtner, whose scientific work has profoundly influenced the field and all of the present contributions
HTTP:URL=https://doi.org/10.1007/978-3-642-23811-6
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Springer eBooks 9783642238116
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データ種別 電子ブック
分 類 LCC:QA273.A1-274.9
DC23:519.2
書誌ID 4000117291
ISBN 9783642238116

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