Описание: Combines linear algebra and multivariable mathematics in a rigorous approach. This book contains integrated material to emphasize the recurring theme of implicit versus explicit that persists in linear algebra and analysis.
Автор: COLOMBINI; MARINO; MODICA; SPAGNOLA Название: Partial Differential Equations and the Calculus of Variations ISBN: 1461598338 ISBN-13(EAN): 9781461598336 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Stochastic calculus provides a powerful description of a specific class of stochastic processes in physics and finance. However, many econophysicists struggle to understand it. This book presents the subject simply and systematically, giving graduate students and practitioners a better understanding and enabling them to apply the methods in practice.
Автор: Luigi Ambrosio; Bernard Dacorogna; E. Mascolo; Pao Название: Calculus of Variations and Nonlinear Partial Differential Equations ISBN: 3540759131 ISBN-13(EAN): 9783540759133 Издательство: Springer Рейтинг: Цена: 6282.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discusses topics such as transport equations for nonsmooth vector fields, homogenization, viscosity methods for the infinite Laplacian, and weak KAM theory and geometrical aspects of symmetrization.
Автор: COLOMBINI; MARINO; MODICA; SPAGNOLA Название: Partial Differential Equations and the Calculus of Variations ISBN: 1461598303 ISBN-13(EAN): 9781461598305 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Tijana Levajkovi?; Hermann Mena Название: Equations Involving Malliavin Calculus Operators ISBN: 3319656775 ISBN-13(EAN): 9783319656779 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A major contribution of the book is the development of generalized Malliavin calculus in the framework of white noise analysis, based on chaos expansion representation of stochastic processes and its application for solving several classes of stochastic differential equations with singular data involving the main operators of Malliavin calculus.
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