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Stochastic Modeling: Analysis and Simulation

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Цена: 1564р.
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Автор: Nelson Barry L.
Название:  Stochastic Modeling: Analysis and Simulation   (Барри Л. Нельсон: Вероятностное моделирование. Изучение и моделирование)
Издательство: Dover
Классификация:
Алгебра
Вероятность и статистика
Прикладная математика

ISBN: 0486477703
ISBN-13(EAN): 9780486477701
ISBN: 0-486-47770-3
ISBN-13(EAN): 978-0-486-47770-1
Обложка/Формат: Paperback
Страницы: 336
Вес: 0.428 кг.
Дата издания: 21.04.2010
Серия: Dover books on mathematics
Язык: ENG
Иллюстрации: Illustrations
Размер: 6 1/8 x 9 1/4 inch
Читательская аудитория: General (us: trade)
Подзаголовок: Analysis & simulation
Рейтинг:
Поставляется из: США
Описание: A coherent introduction to the techniques for modeling dynamic stochastic systems, this volume also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Suitable for advanced undergraduates and graduate-level industrial engineers and management science majors, it proposes modeling systems in terms of their simulation, regardless of whether simulation is employed for analysis.
Beginning with a view of the conditions that permit a mathematical-numerical analysis, the text explores Poisson and renewal processes, Markov chains in discrete and continuous time, semi-Markov processes, and queuing processes. Each chapter opens with an illustrative case study, and comprehensive presentations include formulation of models, determination of parameters, analysis, and interpretation of results. Programming language-independent algorithms appear for all simulation and numerical procedures. Solutions to the exercises are available upon request from the publisher at editors@doverpublications.com.




Stationary and Related Stochastic Processes: Sample Function Properties and Their Applications

Автор: Cram?r Harald
Название: Stationary and Related Stochastic Processes: Sample Function Properties and Their Applications
ISBN: 0486438279 ISBN-13(EAN): 9780486438276
Издательство: Dover
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Цена: 1720 р.
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Introduction to Stochastic Control Theory

Автор: Astrom Karl
Название: Introduction to Stochastic Control Theory
ISBN: 0486445313 ISBN-13(EAN): 9780486445311
Издательство: Dover
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Цена: 1407 р.
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Описание: This text for upper-level undergraduates and graduate students explores stochastic control theory in terms of analysis, parametric optimization, and optimal stochastic control. Limited to linear systems with quadratic criteria, it covers discrete time as well as continuous time systems. 1970 edition.

Stochastic Models in Operations Research, Vol. II: Stochastic Optimization

Автор: Heyman Daniel P.
Название: Stochastic Models in Operations Research, Vol. II: Stochastic Optimization
ISBN: 0486432602 ISBN-13(EAN): 9780486432601
Издательство: Dover
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Цена: 2347 р.
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Описание: The first of a two-volume set begins with discussions of stochastic processes, including posterity analysis, birth-and-death processes, renewal theory, renewal-reward and regenerative processes, Markov chains, continuous-time Markov chains, Markov processes, and stationery processes and ergodic theory. Its coverage of operating characteristics of stochastic systems examines system properties, networks of queues, and bounds and approximations.
This two-volume set of texts explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. They demonstrate the interdependence of three areas of study that usually receive separate treatments: stochastic processes, operating characteristics of stochastic systems, and stochastic optimization.
Comprehensive in its scope, this work emphasizes the practical importance, intellectual stimulation, and mathematical elegance of stochastic models. It is intended primarily as a graduate-level text for studies in operations research, management science, computer science, and all branches of engineering, applied mathematics, statistics, and economics.

Selected Papers on Noise and Stochastic Processes

Автор: Wax, Nelson
Название: Selected Papers on Noise and Stochastic Processes
ISBN: 0486602621 ISBN-13(EAN): 9780486602622
Издательство: Dover
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Цена: 1485 р.
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Описание: These six classic papers on stochastic process were selected to meet the needs of professionals and advanced undergraduates and graduate students in physics, applied mathematics, and engineering. Contents include:
"Stochastic Problems in Physics and Astronomy" by S. Chandrasekhar from Reviews of Modern Physics, Vol. 15, No. 1
"On the Theory of Brownian Motion" by G. E. Uhlenbeck and L. S. Ornstein from Physical Review, Vol. 36, No. 3
"On the Theory of the Brownian Motion II" by Ming Chen Wang and G. E. Uhlenbeck from Reviews of Modern Physics, Vol. 17, Nos. 2 and 3
"Mathematical Analysis of Random Noise" by S. O. Rice from Bell System Technical Journal, Vols. 23 and 24
"Random Walk and the Theory of Brownian Motion" by Mark Kac from American Mathematical Monthly, Vol. 54, No. 7
"The Brownian Movement and Stochastic Equations" by J. L. Doob from Annals of Mathematics, Vol. 43, No. 2

Communication Nets: Stochastic Message Flow and Delay

Автор: Kleinrock Leonard
Название: Communication Nets: Stochastic Message Flow and Delay
ISBN: 0486458806 ISBN-13(EAN): 9780486458809
Издательство: Dover
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Цена: 1172 р.
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Описание: Considerable research has been devoted to the formulation and solution of problems involving flow within connected networks. Independent of these surveys, an extensive body of knowledge has accumulated on the subject of queues, particularly in regard to stochastic flow through single-node servicing facilities. This text combines studies of connected networks with those of stochastic flow, providing a basis for understanding the general behavior and operation of communication networks in realistic situations.
Author Leonard Kleinrock of the Computer Science Department at UCLA created the basic principle of packet switching, the technology underpinning the Internet. In this text, he develops a queuing theory model of communications nets. Its networks are channel-capacity limited; consequently, the measure of performance is taken to be the average delay encountered by a message in passing through the net. Topics include questions pertaining to optimal channel capacity assignment, effect of priority and other queue disciplines, choice of routine procedure, fixed-cost restraint, and design of topological structures. Many separate facets are brought into focus in the concluding discussion of the simulation of communication nets, and six appendices offer valuable supplementary information.

Stochastic Tools in Turbulence

Автор: Lumley John
Название: Stochastic Tools in Turbulence
ISBN: 0486462706 ISBN-13(EAN): 9780486462707
Издательство: Dover
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Цена: 1015 р.
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Описание: This accessible treatment offers the mathematical tools for describing and solving problems related to stochastic vector fields. Advanced undergraduates and graduate students will find its use of generalized functions a relatively simple method of resolving mathematical questions. It will prove a valuable reference for applied mathematicians and professionals in the fields of aerospace, chemical, civil, and nuclear engineering.
The author, Professor Emeritus of Engineering at Cornell University, starts with a survey of probability distributions and densities and proceeds to examinations of moments, characteristic functions, and the Gaussian distribution; random functions; and random processes in more dimensions. Extensive appendixes--which include information on Fourier transforms, tensors, generalized functions, and invariant theory--contribute toward making this volume mathematically self-contained.

Introduction to Stochastic Models: Second Edition

Автор: Goodman Roe
Название: Introduction to Stochastic Models: Second Edition
ISBN: 0486450376 ISBN-13(EAN): 9780486450377
Издательство: Dover
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Цена: 1720 р.
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Описание: Newly revised by the author, this undergraduate-level text introduces the mathematical theory of probability and stochastic processes. Using both computer simulations and mathematical models of random events, it comprises numerous applications to the physical and biological sciences, engineering, and computer science. Subjects include sample spaces, probabilities distributions and expectations of random variables, conditional expectations, Markov chains, and the Poisson process. Additional topics encompass continuous-time stochastic processes, birth and death processes, steady-state probabilities, general queuing systems, and renewal processes. Each section features worked examples, and exercises appear at the end of each chapter, with numerical solutions at the back of the book. Suggestions for further reading in stochastic processes, simulation, and various applications also appear at the end.

Nonlinear Filtering and Smoothing: An Introduction to Martingales, Stochastic Integrals and Estimation

Автор: Krishnan Venkatarama
Название: Nonlinear Filtering and Smoothing: An Introduction to Martingales, Stochastic Integrals and Estimation
ISBN: 0486441644 ISBN-13(EAN): 9780486441641
Издательство: Dover
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Цена: 1564 р.
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Stochastic Modeling: Analysis & Simulation

Автор: Barry L. Nelson
Название: Stochastic Modeling: Analysis & Simulation
ISBN: 048642569X ISBN-13(EAN): 9780486425696
Издательство: Dover
Цена: 1642 р.
Наличие на складе: Поставка под заказ.

Introduction to Simulation and Risk Analysis, Second Edition

Автор: Evans, James
Название: Introduction to Simulation and Risk Analysis, Second Edition
ISBN: 0486779890 ISBN-13(EAN): 9780486779898
Издательство: Dover
Цена: 1955 р.
Наличие на складе: Поставка под заказ.

Nonstandard Methods in Stochastic Analysis and Mathematical Physics

Автор: Albeverio Sergio
Название: Nonstandard Methods in Stochastic Analysis and Mathematical Physics
ISBN: 0486468992 ISBN-13(EAN): 9780486468990
Издательство: Dover
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Цена: 2347 р.
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Описание: Two-part treatment begins with a self-contained introduction to the subject, followed by applications to stochastic analysis and mathematical physics. "A welcome addition." - Bulletin of the American Mathematical Society. 1986 edition.

Foundations of Stochastic Analysis

Автор: Rao M.
Название: Foundations of Stochastic Analysis
ISBN: 0486481220 ISBN-13(EAN): 9780486481227
Издательство: Dover
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Цена: 1799 р.
Наличие на складе: Поставка под заказ.

Описание: Stochastic analysis involves the study of a process involving a randomly determined sequence of observations, each of which represents a sample of one element of probability distribution. This volume considers fundamental theories and contrasts the natural interplay between real and abstract methods.
Starting with the introduction of the basic Kolmogorov-Bochner existence theorem, the text explores conditional expectations and probabilities as well as projective and direct limits. Subsequent chapters examine several aspects of discrete martingale theory, including applications to ergodic theory, likelihood ratios, and the Gaussian dichotomy theorem. Prerequisites include a standard measure theory course. No prior knowledge of probability is assumed; therefore, most of the results are proved in detail. Each chapter concludes with a problem section that features many hints and facts, including the most important results in information theory.


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