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Stochastic Modelling of Reaction–Diffusion Processes, Radek Erban, S. Jonathan Chapman


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Цена: 17424.00р.
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Автор: Radek Erban, S. Jonathan Chapman
Название:  Stochastic Modelling of Reaction–Diffusion Processes
ISBN: 9781108498128
Издательство: Cambridge Academ
Классификация:


ISBN-10: 1108498124
Обложка/Формат: Hardcover
Страницы: 319
Вес: 0.60 кг.
Дата издания: 30.01.2020
Серия: Cambridge texts in applied mathematics
Язык: English
Иллюстрации: Worked examples or exercises; 3 tables, black and white; 43 plates, color; 26 halftones, color; 8 halftones, black and white; 17 line drawings, color
Размер: 159 x 235 x 20
Читательская аудитория: Professional and scholarly
Ключевые слова: Mathematical modelling,Probability & statistics, MATHEMATICS / General
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: This practical introduction covers mathematical methods for the analysis of stochastic models and their biological applications. Based on courses taught at the University of Oxford, the book can be used for self-study or as a supporting text for advanced undergraduate or beginning graduate-level courses in applied mathematics.


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 processes

Автор: Doob J.l.
Название: Stochastic processes
ISBN: 0471523690 ISBN-13(EAN): 9780471523697
Издательство: Wiley
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Цена: 19398.00 р. 27712.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: A systematic account of the development of stochastic processes over the last 20 years. A supplement contained within the text includes a treatment of the various aspects of measure theory. There is also a chapter on the specialized problem of prediction theory.

Modelling and Application of Stochastic Processes

Автор: Uday B. Desai
Название: Modelling and Application of Stochastic Processes
ISBN: 1461294002 ISBN-13(EAN): 9781461294009
Издательство: Springer
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Цена: 29209.00 р.
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Описание: (i) the state variables are orthogonal, and (ii) the system matrices for the (n + l)st order realization contain as their "upper" n-th order blocks the system matrices from the n-th order realization (nesting property).

Stochastic Modelling of Reaction-Diffusion Processes

Автор: Erban Radek
Название: Stochastic Modelling of Reaction-Diffusion Processes
ISBN: 1108703003 ISBN-13(EAN): 9781108703000
Издательство: Cambridge Academ
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Цена: 6493.00 р.
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Описание: This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors discuss the essence of mathematical methods which appear (under different names) in a number of interdisciplinary scientific fields bridging mathematics and computations with biology and chemistry. The book can be used both for self-study and as a supporting text for advanced undergraduate or beginning graduate-level courses in applied mathematics. New mathematical approaches are explained using simple examples of biological models, which range in size from simulations of small biomolecules to groups of animals. The book starts with stochastic modelling of chemical reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio-temporal models are then studied, including models of diffusion and stochastic reaction-diffusion modelling. The methods covered include molecular dynamics, Brownian dynamics, velocity jump processes and compartment-based (lattice-based) models.

A First Course in Stochastic Processes,

Автор: Samuel Karlin
Название: A First Course in Stochastic Processes,
ISBN: 0123985528 ISBN-13(EAN): 9780123985521
Издательство: Elsevier Science
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Цена: 16842.00 р.
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Описание:

The purpose, level, and style of this new edition conform to the tenets set forth in the original preface. The authors continue with their tack of developing simultaneously theory and applications, intertwined so that they refurbish and elucidate each other.

The authors have made three main kinds of changes. First, they have enlarged on the topics treated in the first edition. Second, they have added many exercises and problems at the end of each chapter. Third, and most important, they have supplied, in new chapters, broad introductory discussions of several classes of stochastic processes not dealt with in the first edition, notably martingales, renewal and fluctuation phenomena associated with random sums, stationary stochastic processes, and diffusion theory.

A Second Course in Stochastic Processes,

Автор: Samuel Karlin
Название: A Second Course in Stochastic Processes,
ISBN: 0123986508 ISBN-13(EAN): 9780123986504
Издательство: Elsevier Science
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Цена: 15999.00 р.
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Описание: China`s new initiative of One Belt One Road (OBOR) is attracting global attention for its grand scale of potentially connecting Asia, Africa, Europe (and South America) through the much needed infrastructure projects. This volume explores the major ideas, initiatives, programmes and components of the OBOR, and examines the responses and perceptions of various countries to the OBOR initiative.

Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance

Автор: Chung K. L., AitSahlia Farid
Название: Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance
ISBN: 038795578X ISBN-13(EAN): 9780387955780
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Provides an introduction to probability theory and its applications.

Mathematics for economics and  finance: methods and modelling

Автор: Anthony, M, , Biggs N.
Название: Mathematics for economics and finance: methods and modelling
ISBN: 0521559138 ISBN-13(EAN): 9780521559133
Издательство: Cambridge Academ
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Цена: 7126.00 р.
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Описание: An introduction to mathematical modelling in economics and finance for students of both economics and mathematics. Throughout, the stress is firmly on how the mathematics relates to economics, illustrated with copious examples and exercises that will foster depth of understanding.

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.

Nonlinear Reaction-Diffusion Processes for Nanocomposites: Anomalous Improved Homogenization

Автор: Jesus Ildefonso Diaz, David Gomez-Castro, Tatiana A. Shaposhnikova
Название: Nonlinear Reaction-Diffusion Processes for Nanocomposites: Anomalous Improved Homogenization
ISBN: 3110647273 ISBN-13(EAN): 9783110647273
Издательство: Walter de Gruyter
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Цена: 18214.00 р.
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Описание: The series is devoted to the publication of high-level monographs which cover the whole spectrum of current nonlinear analysis and applications in various fields, such as optimization, control theory, systems theory, mechanics, engineering, and other sciences. One of its main objectives is to make available to the professional community expositions of results and foundations of methods that play an important role in both the theory and applications of nonlinear analysis. Contributions which are on the borderline of nonlinear analysis and related fields and which stimulate further research at the crossroads of these areas are particularly welcome. Editor-in-Chief Jurgen Appell, Wurzburg, Germany Honorary and Advisory Editors Catherine Bandle, Basel, Switzerland Alain Bensoussan, Richardson, Texas, USA Avner Friedman, Columbus, Ohio, USA Umberto Mosco, Worcester, Massachusetts, USA Louis Nirenberg, New York, USA Alfonso Vignoli, Rome, Italy Editorial Board Manuel del Pino, Bath, UK, and Santiago, Chile Mikio Kato, Nagano, Japan Wojciech Kryszewski, Torun, Poland Vicentiu D. Radulescu, Krakow, Poland Simeon Reich, Haifa, Israel Please submit book proposals to Jurgen Appell . Titles in planning include Lucio Damascelli and Filomena Pacella, Morse Index of Solutions of Nonlinear Elliptic Equations (2019) Tomasz W. Dlotko and Yejuan Wang, Critical Parabolic-Type Problems (2019) Rafael Ortega, Periodic Differential Equations in the Plane: A Topological Perspective (2019) Ireneo Peral Alonso and Fernando Soria, Elliptic and Parabolic Equations Involving the Hardy–Leray Potential (2020) Cyril Tintarev, Profile Decompositions and Cocompactness: Functional-Analytic Theory of Concentration Compactness (2020) Takashi Suzuki, Semilinear Elliptic Equations: Classical and Modern Theories (2021)

Analysis for Diffusion Processes on Riemannian Manifolds

Автор: Wang Feng Yu
Название: Analysis for Diffusion Processes on Riemannian Manifolds
ISBN: 9814452645 ISBN-13(EAN): 9789814452649
Издательство: World Scientific Publishing
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Цена: 19800.00 р.
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Описание: Stochastic analysis on Riemannian manifolds without boundary has been well established. However, the analysis for reflecting diffusion processes and sub-elliptic diffusion processes is far from complete. This book contains recent advances in this direction along with new ideas and efficient arguments, which are crucial for further developments. Many results contained here (for example, the formula of the curvature using derivatives of the semigroup) are new among existing monographs even in the case without boundary.

Modeling Anomalous Diffusion: From Statistics To Mathematics

Автор: Deng Weihua
Название: Modeling Anomalous Diffusion: From Statistics To Mathematics
ISBN: 9811212996 ISBN-13(EAN): 9789811212994
Издательство: World Scientific Publishing
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Цена: 14256.00 р.
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Описание:

This book focuses on modeling the anomalous diffusion phenomena, being ubiquitous in the natural world. Both the microscopic models (stochastic processes) and macroscopic models (partial differential equations) have been built up. The relationships between the two kinds of models are clarified, and based on these models, some statistical observables are analyzed. From statistics to mathematics, the built models show their power with their associated applications.

This book is important for students to develop basic skills to be able to succeed in their future research. In addition to introducing the related models or methods, it also provides the corresponding applications and simulation results, which will attract more readers ranging from mathematicians to physicists or chemists, to name a few.


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