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Stochastic PDE`s and Kolmogorov Equations in Infinite Dimensions, N.V. Krylov; G. Da Prato; M. R?ckner; J. Zabczyk


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Автор: N.V. Krylov; G. Da Prato; M. R?ckner; J. Zabczyk
Название:  Stochastic PDE`s and Kolmogorov Equations in Infinite Dimensions
ISBN: 9783540665458
Издательство: Springer
Классификация:
ISBN-10: 3540665455
Обложка/Формат: Paperback
Страницы: 244
Вес: 0.36 кг.
Дата издания: 19.10.1999
Серия: C.I.M.E. Foundation Subseries
Язык: English
Размер: 234 x 156 x 14
Основная тема: Mathematics
Подзаголовок: Lectures given at the 2nd Session of the Centro Internazionale Matematico Estivo (C.I.M.E.)held in Cetraro, Italy, August 24 - September 1, 1998
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Kolmogorov equations are second order parabolic equations with a finite or an infinite number of variables, connected with stochastic differential equations in finite or infinite dimensional spaces. These equations can be studied both by probabilistic and by analytic methods.


An Introduction to Computational Stochastic PDEs

Автор: Lord
Название: An Introduction to Computational Stochastic PDEs
ISBN: 0521728525 ISBN-13(EAN): 9780521728522
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: This comprehensive introduction to stochastic partial differential equations incorporates the effects of randomness into real-world models, offering graduate students and researchers powerful tools for understanding uncertainty quantification for risk analysis. MATLAB (R) codes are included, so that readers can perform computations themselves and solve the test problems discussed.

An Introduction to Kolmogorov Complexity and Its Applications

Автор: Ming Li; Paul M.B. Vit?nyi
Название: An Introduction to Kolmogorov Complexity and Its Applications
ISBN: 1489984453 ISBN-13(EAN): 9781489984456
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Written by two experts in the field, this is the only comprehensive and unified treatment of the central ideas and applications of Kolmogorov complexity. The book presents a thorough treatment of the subject with a wide range of illustrative applications.

Mathematics of the 19th Century

Автор: Andrei N. Kolmogorov; Adolf-Andrei P. Yushkevich
Название: Mathematics of the 19th Century
ISBN: 3034899335 ISBN-13(EAN): 9783034899338
Издательство: Springer
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Цена: 12571.00 р.
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Описание: The general principles by which the editors and authors of the present edition have been guided were explained in the preface to the first volume of Mathemat- ics of the 19th Century, which contains chapters on the history of mathematical logic, algebra, number theory, and probability theory (Nauka, Moscow 1978;

The Kolmogorov-Obukhov Theory of Turbulence

Автор: Bjorn Birnir
Название: The Kolmogorov-Obukhov Theory of Turbulence
ISBN: 1461462614 ISBN-13(EAN): 9781461462613
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The Kolmogorov-Obukhov Theory of Turbulence develops a statistical theory of turbulence from the stochastic Navier-Stokes equation and the physical theory, that was proposed by Kolmogorov and Obukhov in 1941.

Chebyshev Splines and Kolmogorov Inequalities

Автор: Sergey Bagdasarov
Название: Chebyshev Splines and Kolmogorov Inequalities
ISBN: 3034897812 ISBN-13(EAN): 9783034897815
Издательство: Springer
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Цена: 6986.00 р.
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Stochastic Equations in Infinite Dimensions

Автор: Da Prato
Название: Stochastic Equations in Infinite Dimensions
ISBN: 1107055849 ISBN-13(EAN): 9781107055841
Издательство: Cambridge Academ
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Цена: 21384.00 р.
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Описание: Now in its second edition, this book gives a systematic and self-contained presentation of basic results on stochastic evolution equations in infinite dimensional, typically Hilbert and Banach, spaces. Thoroughly updated, it also includes two brand new chapters surveying recent developments in the area.

Yosida Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications

Автор: Govindan
Название: Yosida Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications
ISBN: 3319456822 ISBN-13(EAN): 9783319456829
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This research monograph brings together, for the first time, the varied literature on Yosida approximations of stochastic differential equations (SDEs) in infinite dimensions and their applications into a single cohesive work. The author provides a clear and systematic introduction to the Yosida approximation method and justifies its power by presenting its applications in some practical topics such as stochastic stability and stochastic optimal control. The theory assimilated spans more than 35 years of mathematics, but is developed slowly and methodically in digestible pieces.The book begins with a motivational chapter that introduces the reader to several different models that play recurring roles throughout the book as the theory is unfolded, and invites readers from different disciplines to see immediately that the effort required to work through the theory that follows is worthwhile. From there, the author presents the necessary prerequisite material, and then launches the reader into the main discussion of the monograph, namely, Yosida approximations of SDEs, Yosida approximations of SDEs with Poisson jumps, and their applications. Most of the results considered in the main chapters appear for the first time in a book form, and contain illustrative examples on stochastic partial differential equations. The key steps are included in all proofs, especially the various estimates, which help the reader to get a true feel for the theory of Yosida approximations and their use.This work is intended for researchers and graduate students in mathematics specializing in probability theory and will appeal to numerical analysts, engineers, physicists and practitioners in finance who want to apply the theory of stochastic evolution equations. Since the approach is based mainly in semigroup theory, it is amenable to a wide audience including non-specialists in stochastic processes.

Stochastic differential equations in infinite dimensions

Автор: Gawarecki, Leszek Mandrekar, Vidyadhar
Название: Stochastic differential equations in infinite dimensions
ISBN: 3642266347 ISBN-13(EAN): 9783642266348
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This volume offers comprehensive coverage of modern techniques used for solving problems in infinite dimensional stochastic differential equations. It presents major methods, including compactness, coercivity, monotonicity, in different set-ups.

General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions

Автор: Qi L?; Xu Zhang
Название: General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions
ISBN: 3319066315 ISBN-13(EAN): 9783319066318
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The classical Pontryagin maximum principle (addressed to deterministic finite dimensional control systems) is one of the three milestones in modern control theory.

An Introduction to Computational Stochastic PDEs

Автор: Lord
Название: An Introduction to Computational Stochastic PDEs
ISBN: 0521899907 ISBN-13(EAN): 9780521899901
Издательство: Cambridge Academ
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Цена: 18216.00 р.
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Описание: This comprehensive introduction to stochastic partial differential equations incorporates the effects of randomness into real-world models, offering graduate students and researchers powerful tools for understanding uncertainty quantification for risk analysis. MATLAB (R) codes are included, so that readers can perform computations themselves and solve the test problems discussed.

Nonlinear Stochastic PDEs

Автор: Tadahisa Funaki; Wojbor Woyczynski
Название: Nonlinear Stochastic PDEs
ISBN: 1461384702 ISBN-13(EAN): 9781461384700
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This IMA Volume in Mathematics and its Applications NONLINEAR STOCHASTIC PDEs: HYDRODYNAMIC LIMIT AND BURGERS` TURBULENCE is based on the proceedings of the period of concentration on Stochas- tic Methods for Nonlinear PDEs which was an integral part of the 1993- 94 IMA program on "Emerging Applications of Probability."


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