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Stochastic Evolution Systems, Boris L. Rozovsky; Sergey V. Lototsky


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Автор: Boris L. Rozovsky; Sergey V. Lototsky
Название:  Stochastic Evolution Systems
ISBN: 9783030069339
Издательство: Springer
Классификация:





ISBN-10: 3030069338
Обложка/Формат: Soft cover
Страницы: 330
Вес: 0.53 кг.
Дата издания: 2018
Серия: Probability Theory and Stochastic Modelling
Язык: English
Издание: Softcover reprint of
Иллюстрации: 2 illustrations, black and white; xvi, 330 p. 2 illus.
Размер: 234 x 156 x 18
Читательская аудитория: General (us: trade)
Основная тема: Mathematics
Подзаголовок: Linear Theory and Applications to Non-Linear Filtering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This monograph, now in a thoroughly revised second edition, develops the theory of stochastic calculus in Hilbert spaces and applies the results to the study of generalized solutions of stochastic parabolic equations.The emphasis lies on second-order stochastic parabolic equations and their connection to random dynamical systems. The authors further explore applications to the theory of optimal non-linear filtering, prediction, and smoothing of partially observed diffusion processes. The new edition now also includes a chapter on chaos expansion for linear stochastic evolution systems.This book will appeal to anyone working in disciplines that require tools from stochastic analysis and PDEs, including pure mathematics, financial mathematics, engineering and physics.
Дополнительное описание: 1 Examples and Auxiliary Results.- 2 Stochastic Integration in a Hilbert Space.- 3 Linear Stochastic Evolution Systems in Hilbert Spaces.- 4 Ito's Second Order Parabolic Equations.- 5 Ito's Partial Differential Equations and Diffusion Processes.- 6 Filter



Stochastic Calculus for Finance I

Автор: Shreve
Название: Stochastic Calculus for Finance I
ISBN: 0387401008 ISBN-13(EAN): 9780387401003
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Developed for the professional Master`s program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several yearsExercises conclude every chapter;

Stochastic Evolution Systems

Автор: B.L. Rozovskii
Название: Stochastic Evolution Systems
ISBN: 0792300378 ISBN-13(EAN): 9780792300373
Издательство: Springer
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Цена: 15372.00 р.
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Описание: 'Et moi, "'J si j'avait su comment en revcnir, One seMcc mathematics has rendered the je n'y semis point aile.' human race. It has put common sense back Jules Verne where it belongs, on the topmost shclf next to the dusty canister labelled 'discarded non- sense'. The series is divergent; therefore we may be able to do something with it. Eric T. Bell O. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and non- linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathematical physics .. .'; 'One service logic has rendered com- puter science .. .'; 'One service category theory has rendered mathematics .. .'. All arguably true. And all statements obtainable this way form part of the raison d'etre of this series.

Stochastic Interacting Systems: Contact, Voter and Exclusion Processes

Автор: Thomas M. Liggett
Название: Stochastic Interacting Systems: Contact, Voter and Exclusion Processes
ISBN: 3642085296 ISBN-13(EAN): 9783642085291
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Interactive Particle Systems is a branch of Probability Theory with close connections to Mathematical Physics and Mathematical Biology. In 1985, the author wrote a book (T. Liggett, Interacting Particle System, ISBN 3-540-96069) that treated the subject as it was at that time. The present book takes three of the most important models in the area, and traces advances in our understanding of them since 1985. In so doing, many of the most useful techniques in the field are explained and developed, so that they can be applied to other models and in other contexts. Extensive Notes and References sections discuss other work on these and related models. Readers are expected to be familiar with analysis and probability at the graduate level, but it is not assumed that they have mastered the material in the 1985 book. This book is intended for graduate students and researchers in Probability Theory, and in related areas of Mathematics, Biology and Physics.

Performance analysis and synthesis for discrete-time stochastic systems with network-enhanced complexities

Автор: Ding, Derui (department Of Control Science And Eng
Название: Performance analysis and synthesis for discrete-time stochastic systems with network-enhanced complexities
ISBN: 1138610011 ISBN-13(EAN): 9781138610019
Издательство: Taylor&Francis
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Цена: 28327.00 р.
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Описание: This book aims to provide a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics.

Markov Decision Processes: Discrete Stochastic Dynamic Programming

Автор: Martin L. Puterman
Название: Markov Decision Processes: Discrete Stochastic Dynamic Programming
ISBN: 0471727822 ISBN-13(EAN): 9780471727828
Издательство: Wiley
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Цена: 20584.00 р.
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Описание: This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models.

Strong and Weak Approximation of Semilinear Stochastic Evolution Equations

Автор: Raphael Kruse
Название: Strong and Weak Approximation of Semilinear Stochastic Evolution Equations
ISBN: 331902230X ISBN-13(EAN): 9783319022307
Издательство: Springer
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Цена: 4890.00 р.
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Описание:

Introduction.- Stochastic Evolution Equations in Hilbert Spaces.- Optimal Strong Error Estimates for Galerkin Finite Element Methods.- A Short Review of the Malliavin Calculus in Hilbert Spaces.- A Malliavin Calculus Approach to Weak Convergence.- Numerical Experiments.- Some Useful Variations of Gronwall's Lemma.- Results on Semigroups and their Infinitesimal Generators.- A Generalized Version of Lebesgue's Theorem.- References.- Index.

Stochastic Evolution Systems

Автор: Rozovsky
Название: Stochastic Evolution Systems
ISBN: 331994892X ISBN-13(EAN): 9783319948928
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Covering the general theory of linear stochastic evolution systems with unbounded drift and diffusion operators, this book sureys Ito`s second-order parabolic equations and explores filtering problems for processes whose trajectories can be described by them.

Brownian Motion: An Introduction to Stochastic Processes

Автор: Rene L. Schilling, Lothar Partzsch
Название: Brownian Motion: An Introduction to Stochastic Processes
ISBN: 3110307294 ISBN-13(EAN): 9783110307290
Издательство: Walter de Gruyter
Цена: 6368.00 р.
Наличие на складе: Нет в наличии.

Описание: Brownian motion is one of the most important stochastic processes in continuous time and with continuous state space. Within the realm of stochastic processes, Brownian motion is at the intersection of Gaussian processes, martingales, Markov processes, diffusions and random fractals, and it has influenced the study of these topics. Its central position within mathematics is matched by numerous applications in science, engineering and mathematical finance. Often textbooks on probability theory cover, if at all, Brownian motion only briefly. On the other hand, there is a considerable gap to more specialized texts on Brownian motion which is not so easy to overcome for the novice. The authors’ aim was to write a book which can be used as an introduction to Brownian motion and stochastic calculus, and as a first course in continuous-time and continuous-state Markov processes. They also wanted to have a text which would be both a readily accessible mathematical back-up for contemporary applications (such as mathematical finance) and a foundation to get easy access to advanced monographs. This textbook, tailored to the needs of graduate and advanced undergraduate students, covers Brownian motion, starting from its elementary properties, certain distributional aspects, path properties, and leading to stochastic calculus based on Brownian motion. It also includes numerical recipes for the simulation of Brownian motion.

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.

Nonlinear Stochastic Evolution Problems in Applied Sciences

Автор: N. Bellomo; Zdzislaw Brzezniak; L.M. de Socio
Название: Nonlinear Stochastic Evolution Problems in Applied Sciences
ISBN: 0792320425 ISBN-13(EAN): 9780792320425
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Deals with the analysis of nonlinear evolution problems described by partial differential equations having random or stochastic parameters. This book emphasises on the actual determination of solutions.

Two-Scale Stochastic Systems / Asymptotic Analysis and Control

Автор: Kabanov Yuri, Pergamenshchikov Sergei
Название: Two-Scale Stochastic Systems / Asymptotic Analysis and Control
ISBN: 3540653325 ISBN-13(EAN): 9783540653325
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Two-scale systems described by singularly perturbed SDEs have been the subject of ample literature. However, this new monograph develops subjects that were rarely addressed and could be given the collective description "Stochastic Tikhonov-Levinson theory and its applications." The book provides a mathematical apparatus designed to analyze the dynamic behaviour of a randomly perturbed system with fast and slow variables. In contrast to the deterministic Tikhonov-Levinson theory, the basic model is described in a more realistic way by stochastic differential equations. This leads to a number of new theoretical questions but simultaneously allows us to treat in a unified way a surprisingly wide spectrum of applications like fast modulations, approximate filtering, and stochastic approximation.


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