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Numerical Solutions of Three Classes of Nonlinear Parabolic Integ, T Jangveladze


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Цена: 17517.00р.
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Ориентировочная дата поставки: Август-начало Сентября
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Автор: T Jangveladze
Название:  Numerical Solutions of Three Classes of Nonlinear Parabolic Integ
ISBN: 9780128046289
Издательство: Elsevier Science
Классификация:
ISBN-10: 0128046287
Обложка/Формат: Hardback
Страницы: 312
Вес: 0.54 кг.
Дата издания: 01.11.2015
Язык: English
Размер: 159 x 239 x 16
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание: This book describes three classes of nonlinear partial integro-differential equations. These models arise in electromagnetic diffusion processes and heat flow in materials with memory. Mathematical modeling of these processes is briefly described in the first chapter of the book. Investigations of the described equations include theoretical as well as approximation properties. Qualitative and quantitative properties of solutions of initial-boundary value problems are performed therafter. All statements are given with easy understandable proofs. For approximate solution of problems different varieties of numerical methods are investigated. Comparison analyses of those methods are carried out. For theoretical results the corresponding graphical illustrations are included in the book. At the end of each chapter topical bibliographies are provided.


Three Classes of Nonlinear Stochastic Partial Differential E

Автор: Xiong Jie
Название: Three Classes of Nonlinear Stochastic Partial Differential E
ISBN: 9814452351 ISBN-13(EAN): 9789814452359
Издательство: World Scientific Publishing
Цена: 10296.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The study of measure-valued processes in random environments has seen some intensive research activities in recent years whereby interesting nonlinear stochastic partial differential equations (SPDEs) were derived. Due to the nonlinearity and the non-Lipschitz continuity of their coefficients, new techniques and concepts have recently been developed for the study of such SPDEs. These include the conditional Laplace transform technique, the conditional mild solution, and the bridge between SPDEs and some kind of backward stochastic differential equations. This volume provides an introduction to these topics with the aim of attracting more researchers into this exciting and young area of research. It can be considered as the first book of its kind. The tools introduced and developed for the study of measure-valued processes in random environments can be used in a much broader area of nonlinear SPDEs.


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