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Denumerable Markov Chains, Kemeny



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Цена: 6578р.
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Автор: Kemeny
Название:  Denumerable Markov Chains
Издательство: Springer
Классификация:
Дифферунциально и интегральное исчисление и математический анализ
Вероятность и статистика

ISBN: 0387901779
ISBN-13(EAN): 9780387901770
ISBN: 0-387-90177-9
ISBN-13(EAN): 978-0-387-90177-0
Обложка/Формат: Hardback
Страницы: 500
Вес: 1.93 кг.
Дата издания: 01.09.1976
Серия: Analysis / Graduate Texts in Mathematics
Язык: English
Издание: 2 rev ed
Иллюстрации: 9 black & white illustrations
Размер: 23.39 x 15.60 x 2.69
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: Presents a systematic treatment of denumerable Markov chains, covering both the foundations of the subject and some in topics in potential theory and boundary theory. This textbook discusses relations among what might be called the descriptive quantities associated with Markov chains-probabilities of events and means of random variables.



Markov Chains,

Автор: D. Revuz
Название: Markov Chains,
ISBN: 0444864008 ISBN-13(EAN): 9780444864000
Издательство: Elsevier Science
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Цена: 5742 р.
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Markov Chains - Analytic and Monte Carlo Computations

Автор: Graham
Название: Markov Chains - Analytic and Monte Carlo Computations
ISBN: 1118517075 ISBN-13(EAN): 9781118517079
Издательство: Wiley
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Цена: 8951 р.
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Описание:

Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing the reader to master the main aspects of the classical theory. This book also features:

  • Numerous exercises with solutions as well as extended case studies.
  • A detailed and rigorous presentation of Markov chains with discrete time and state space.
  • An appendix presenting probabilistic notions that are necessary to the reader, as well as giving more advanced measure-theoretic notions.
Discrete-Time Markov Chains / Two-Time-Scale Methods and Applications

Автор: Yin G.George, Zhang Qing
Название: Discrete-Time Markov Chains / Two-Time-Scale Methods and Applications
ISBN: 038721948X ISBN-13(EAN): 9780387219486
Издательство: Springer
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Цена: 8355 р.
Наличие на складе: Поставка под заказ.

Описание: This book focuses on the theory and applications of discrete-time two-time-scale Markov chains. Much effort in this book is devoted to designing system models arising from these applications, analyzing them via analytic and probabilistic techniques, and developing feasible computational algorithms so as to reduce the inherent complexity. This book presents results including asymptotic expansions of probability vectors, structural properties of occupation measures, exponential bounds, aggregation and decomposition and associated limit processes, and interface of discrete-time and continuous-time systems. One of the salient features is that it contains a diverse range of applications on filtering, estimation, control, optimization, and Markov decision processes, and financial engineering. This book will be an important reference for researchers in the areas of applied probability, control theory, operations research, as well as for practitioners who use optimization techniques. Part of the book can also be used in a graduate course of applied probability, stochastic processes, and applications.

Finite Markov Chains and Algorithmic Applications

Автор: Olle H?ggstr?m
Название: Finite Markov Chains and Algorithmic Applications
ISBN: 0521890012 ISBN-13(EAN): 9780521890014
Издательство: Cambridge Academ
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Цена: 3105 р.
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Описание: Based on a lecture course given at Chalmers University of Technology, this book is ideal for advanced undergraduate or beginning graduate students. The author first develops the necessary background in probability theory and Markov chains before applying it to study a range of randomized algorithms with important applications in optimization and other problems in computing. Amongst the algorithms covered are the Markov chain Monte Carlo method, simulated annealing, and the recent Propp-Wilson algorithm. This book will appeal not only to mathematicians, but also to students of statistics and computer science. The subject matter is introduced in a clear and concise fashion and the numerous exercises included will help students to deepen their understanding.

Finite Markov Chains

Автор: Kemeny
Название: Finite Markov Chains
ISBN: 0387901922 ISBN-13(EAN): 9780387901923
Издательство: Springer
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Цена: 6269 р.
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First Course in Probability and Markov Chains

Автор: Modica Giuseppe
Название: First Course in Probability and Markov Chains
ISBN: 1119944872 ISBN-13(EAN): 9781119944874
Издательство: Wiley
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Цена: 7074 р.
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Описание: Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas.

Hamiltonian Cycle Problem and Markov Chains

Автор: Borkar
Название: Hamiltonian Cycle Problem and Markov Chains
ISBN: 1461432316 ISBN-13(EAN): 9781461432319
Издательство: Springer
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Цена: 13584 р.
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Описание: This research monograph summarizes a line of research that maps certain classical problems of discrete mathematics and operations research - such as the Hamiltonian Cycle and the Travelling Salesman Problems - into convex domains where continuum analysis can be carried out. Arguably, the inherent difficulty of these, now classical, problems stems precisely from the discrete nature of domains in which these problems are posed. The convexification of domains underpinning these results is achieved by assigning probabilistic interpretation to key elements of the original deterministic problems. In particular, the approaches summarized here build on a technique that embeds Hamiltonian Cycle and Travelling Salesman Problems in a structured singularly perturbed Markov decision process. The unifying idea is to interpret subgraphs traced out by deterministic policies (including Hamiltonian cycles, if any) as extreme points of a convex polyhedron in a space filled with randomized policies.The above innovative approach has now evolved to the point where there are many, both theoretical and algorithmic, results that exploit the nexus between graph theoretic structures and both probabilistic and algebraic entities of related Markov chains. The latter include moments of first return times, limiting frequencies of visits to nodes, or the spectra of certain matrices traditionally associated with the analysis of Markov chains. However, these results and algorithms are dispersed over many research papers appearing in journals catering to disparate audiences. As a result, the published manuscripts are often written in a very terse manner and use disparate notation, thereby making it difficult  for new researchers to make use of the many reported advances.Hence the main purpose of this book is to present a concise and yet easily accessible synthesis of the majority of the theoretical and algorithmic results obtained so far. In addition, the book discusses numerous open questions and problems that arise from this body of work and which are yet to be fully solved. The approach casts the Hamiltonian Cycle Problem in a mathematical framework that permits analytical concepts and techniques, not used hitherto in this context, to be brought to bear to further clarify both the underlying difficulty of NP-completeness of this problem and the relative exceptionality of truly difficult instances. Finally, the material is arranged in such a manner that the introductory chapters require very little mathematical background and discuss instances of graphs with interesting structures that motivated a lot of the research in this topic. More difficult results are introduced later  and are illustrated with numerous examples.

Large Deviations For Additive Functionals Of Markov Chains (Memo/228/1070)

Автор: De Acosta & Ney
Название: Large Deviations For Additive Functionals Of Markov Chains (Memo/228/1070)
ISBN: 0821890891 ISBN-13(EAN): 9780821890899
Издательство: Eurospan
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Цена: 9957 р.
Наличие на складе: Нет в наличии.

Описание: For a Markov chain {X?} with general state space S and f:S?R ?, the large deviation principle for {n ?1 ? ??=1 f(X?)} is proved under a condition on the chain which is weaker than uniform recurrence but stronger than geometric recurrence and an integrability condition on f , for a broad class of initial distributions. This result is extended to the case when f takes values in a separable Banach space. Assuming only geometric ergodicity and under a non-degeneracy condition, a local large deviation result is proved for bounded f. A central analytical tool is the transform kernel, whose required properties, including new results, are established. The rate function in the large deviation results is expressed in terms of the convergence parameter of the transform kernel.

Topics in the Constructive Theory of Countable Markov Chains

Автор: G. Fayolle , V. A. Malyshev , M. V. Menshikov
Название: Topics in the Constructive Theory of Countable Markov Chains
ISBN: 0521461979 ISBN-13(EAN): 9780521461979
Издательство: Cambridge Academ
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Цена: 10699 р.
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Описание: Provides methods of analysing Markov chains based on Lyapunov functions.

Markov Chains - Theory and Applications

Автор: Sericola
Название: Markov Chains - Theory and Applications
ISBN: 1848214936 ISBN-13(EAN): 9781848214934
Издательство: Wiley
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Цена: 11897 р.
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Описание: This book presents a thorough treatment of the theory of denumerable Markov chains, both in discrete and in continuous time. In continuous time, it carefully examines the explosion phenomenon and the Kolmogorov equations. It then applies these results to birth and death processes.

Introduction to the numerical solution of Markov chains /

Автор: Stewart, William J.,
Название: Introduction to the numerical solution of Markov chains /
ISBN: 0691036993 ISBN-13(EAN): 9780691036991
Издательство: Wiley
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Цена: 12936 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Offers a systematic and detailed treatment of the numerical solution of Markov chains. This book explores various aspects of numerically computing solutions of Markov chains, especially when the state is huge. It examines many different numerical computing methods - direct, single-and multi-vector iterative, and projection methods.

Markov Chains

Автор: Norris
Название: Markov Chains
ISBN: 0521633966 ISBN-13(EAN): 9780521633963
Издательство: Cambridge Academ
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Цена: 4025 р.
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Описание: Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random processes, but also because one can calculate explicitly many quantities of interest. This textbook, aimed at advanced undergraduate or MSc students with some background in basic probability theory, focuses on Markov chains and quickly develops a coherent and rigorous theory whilst showing also how actually to apply it. Both discrete-time and continuous-time chains are studied. A distinguishing feature is an introduction to more advanced topicsch as martingales and potentials in the established context of Markov chains. There are applications to simulation, economics, optimal control, genetics, queues and many other topics, and exercises and examples drawn both from theory and practice. It will therefore be an ideal text either for elementary courses on random processes or those that are more oriented towards applications.


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