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Distributions in the Physical and Engineering Sciences, Volume 1, Saichev


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Цена: 6986.00р.
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Автор: Saichev
Название:  Distributions in the Physical and Engineering Sciences, Volume 1
ISBN: 9783319979571
Издательство: Springer
Классификация:


ISBN-10: 3319979574
Обложка/Формат: Hardcover
Страницы: 331
Вес: 0.70 кг.
Дата издания: 2018
Серия: Applied and Numerical Harmonic Analysis
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 62 illustrations, black and white; xvii, 331 p. 62 illus.
Размер: 239 x 164 x 26
Читательская аудитория: Professional & vocational
Основная тема: Mathematical Modeling and Industrial Mathematics
Подзаголовок: Distributional and Fractal Calculus, Integral Transforms and Wavelets
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Distributions in the Physical and Engineering Sciences is a comprehensive exposition on analytic methods for solving science and engineering problems which is written from the unifying viewpoint of distribution theory and enriched with many modern topics which are important to practitioners and researchers.


Distributions in the Physical and Engineering Sciences, Volume 3

Автор: Alexander I. Saichev; Wojbor A. woyczy?ski
Название: Distributions in the Physical and Engineering Sciences, Volume 3
ISBN: 3030064670 ISBN-13(EAN): 9783030064679
Издательство: Springer
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Цена: 9083.00 р.
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Описание: Continuing the authors’ multivolume project, this text considers the theory of distributions from an applied perspective, demonstrating how effective a combination of analytic and probabilistic methods can be for solving problems in the physical and engineering sciences. Volume 1 covered foundational topics such as distributional and fractional calculus, the integral transform, and wavelets, and Volume 2 explored linear and nonlinear dynamics in continuous media. With this volume, the scope is extended to the use of distributional tools in the theory of generalized stochastic processes and fields, and in anomalous fractional random dynamics.

Chapters cover topics such as probability distributions; generalized stochastic processes, Brownian motion, and the white noise; stochastic differential equations and generalized random fields; Burgers turbulence and passive tracer transport in Burgers flows; and linear, nonlinear, and multiscale anomalous fractional dynamics in continuous media. The needs of the applied-sciences audience are addressed by a careful and rich selection of examples arising in real-life industrial and scientific labs and a thorough discussion of their physical significance. Numerous illustrations generate a better understanding of the core concepts discussed in the text, and a large number of exercises at the end of each chapter expand on these concepts.
Distributions in the Physical and Engineering Sciences is intended to fill a gap in the typical undergraduate engineering/physical sciences curricula, and as such it will be a valuable resource for researchers and graduate students working in these areas. The only prerequisites are a three-four semester calculus sequence (including ordinary differential equations, Fourier series, complex variables, and linear algebra), and some probability theory, but basic definitions and facts are covered as needed. An appendix also provides background material concerning the Dirac-delta and other distributions.

Автор: Alexander I. Saichev; Wojbor A Woyczynski
Название: Distributions in the Physical and Engineering Sciences
ISBN: 3030017923 ISBN-13(EAN): 9783030017927
Издательство: Springer
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Цена: 19564.00 р.
Наличие на складе: Поставка под заказ.

Описание: ?Distributions in the Physical and Engineering Sciences is a comprehensive exposition on analytic methods for solving science and engineering problems which is written from the unifying viewpoint of distribution theory and enriched with many modern topics which are important to practioners and researchers. The goal of the books is to give the reader, specialist and non-specialist usable and modern mathematical tools in their research and analysis.

Volume 1 provides detailed coverage of asymptotic methods, including the stationary phase and steepest descent methods, for Fourier and other integral transforms from an application perspective. Other topics covered include fractional calculus, the uncertainty principle, wavelets, and multiresolution analysis.
Volume 2 contains an analysis of the three basic types of linear PDEs - elliptic, parabolic, and hyperbolic - as well as chapters on first-order nonlinear PDEs and conservation laws. Nonlinear waves, Burger's equations, KdV equations, and the equations of gas dynamics and porous media are also covered.
Volume 3 extends the scope to the use of distributional tools in the theory of generalized stochastic processes and fields, and in anomalous fractional random dynamics. Chapters cover topics such as probability distributions; generalized stochastic processes, Brownian motion, and the white noise; stochastic differential equations and generalized random fields; Burgers turbulence and passive tracer transport in Burgers flows; and linear, nonlinear, and multiscale anomalous fractional dynamics in continuous media.
The careful explanations, accessible writing style, many illustrations/examples and solutions also make it suitable for use as a self-study reference by anyone seeking greater understanding and proficiency in the problem solving methods presented. The book is ideal for a general scientific and engineering audience, yet it is mathematically precise.
Distributions in the Physical and Engineering Sciences, Volume 2

Автор: Alexander I. Saichev; Wojbor A. Woyczynski
Название: Distributions in the Physical and Engineering Sciences, Volume 2
ISBN: 081763942X ISBN-13(EAN): 9780817639426
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Distributions in the Physical and Engineering Sciences, Volume 2

Marshall  Olkin Distributions - Advances in Theory and Applications

Автор: Umberto Cherubini; Fabrizio Durante; Sabrina Mulin
Название: Marshall Olkin Distributions - Advances in Theory and Applications
ISBN: 3319384481 ISBN-13(EAN): 9783319384481
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book presents the latest advances in the theory and practice of Marshall-Olkin distributions.

Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

Financial Modeling Under Non-Gaussian Distributions

Автор: Jondeau
Название: Financial Modeling Under Non-Gaussian Distributions
ISBN: 1846284198 ISBN-13(EAN): 9781846284199
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The use of Gaussian models when the asset return distributions are not normal could lead to a wrong choice of portfolio, the underestimation of extreme losses or mispriced derivative products. This book deals with the non-Gaussian distributions and addresses the consequences of non-normality and time dependency in asset returns and option prices.

Continuous Univariate Distributions

Автор: Johnson, N.L.
Название: Continuous Univariate Distributions
ISBN: 0471584959 ISBN-13(EAN): 9780471584957
Издательство: Wiley
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Цена: 36424.00 р.
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Описание: This volume contains a detailed description of the statistical distributions that are commonly used in various applied areas, such as engineering, business, economics and the behavioural, biological and environmental sciences. It covers general and specific continuous distributions.

Continuous Univariate Distributions

Автор: Johnson, N.L.
Название: Continuous Univariate Distributions
ISBN: 0471584940 ISBN-13(EAN): 9780471584940
Издательство: Wiley
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Цена: 36424.00 р.
Наличие на складе: Поставка под заказ.

Описание: This volume presents a detailed description of the statistical distributions that are commonly applied to such fields as engineering, business, economics and the behavioural, biological and environmental sciences.

Generalized Gamma Convolutions and Related Classes of Distributions and Densities

Автор: Lennart Bondesson
Название: Generalized Gamma Convolutions and Related Classes of Distributions and Densities
ISBN: 0387978666 ISBN-13(EAN): 9780387978666
Издательство: Springer
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Цена: 16070.00 р.
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Описание: This work is an attempt to present the main results on this class of probability distributions and related classes in a rather logical order. Those who do not want to visit a mysterious land situated between the land of probability theory and statistics and the land of classical analysis should not look at this work.


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