Автор: T. W. Anderson Название: An Introduction to Multivariate Statistical Analysis, Third Edition ISBN: 0471360910 ISBN-13(EAN): 9780471360919 Издательство: Wiley Рейтинг: Цена: 184750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Автор: Guillermo Sapiro Название: Geometric Partial Differential Equations and Image Analysis ISBN: 0521685079 ISBN-13(EAN): 9780521685078 Издательство: Cambridge Academ Цена: 53850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Researchers and practitioners will be able to achieve state-of-the-art practical results in a large number of real problems with the techniques described here. Applications covered include image segmentation, shape analysis, image enhancement, and tracking.
Автор: Ball Название: Convex Geometric Analysis ISBN: 0521155649 ISBN-13(EAN): 9780521155649 Издательство: Cambridge Academ Рейтинг: Цена: 40130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This 1999 book is a collection of research and expository articles on convex geometry and probability, suitable for researchers and graduate students in several branches of mathematics coming under the broad heading of `Geometric Functional Analysis`. It arises arises from an MSRI program held in the spring of 1996.
Автор: Travaglini Название: Number Theory, Fourier Analysis and Geometric Discrepancy ISBN: 1107619858 ISBN-13(EAN): 9781107619852 Издательство: Cambridge Academ Рейтинг: Цена: 40130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Geometric discrepancy theory is a rapidly growing modern field. This book provides a complete introduction to the topic with exposition based on classical number theory and Fourier analysis, but assuming no prior knowledge of either. Ideal as a guide to the subject for advanced undergraduate or beginning graduate students.
Автор: Travaglini Название: Number Theory, Fourier Analysis and Geometric Discrepancy ISBN: 1107044030 ISBN-13(EAN): 9781107044036 Издательство: Cambridge Academ Рейтинг: Цена: 135170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Geometric discrepancy theory is a rapidly growing modern field. This book provides a complete introduction to the topic with exposition based on classical number theory and Fourier analysis, but assuming no prior knowledge of either. Ideal as a guide to the subject for advanced undergraduate or beginning graduate students.
Автор: Lin I-Hsiung Название: Classical Complex Analysis: A Geometric Approach (Volume 1) ISBN: 981426122X ISBN-13(EAN): 9789814261227 Издательство: World Scientific Publishing Рейтинг: Цена: 200640.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents an introduction to one of the remarkable branches of exact science, with an emphasis on the geometric aspects of analytic functions. This book presents a geometric description of what a complex number is, followed by a detailed account of algebraic, analytic and geometric properties of standard complex-valued functions.
Автор: Lin I-Hsiung Название: Classical Complex Analysis: A Geometric Approach (Volume 2) ISBN: 9814271284 ISBN-13(EAN): 9789814271288 Издательство: World Scientific Publishing Рейтинг: Цена: 139390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Riemann mapping theorem is proved and used in solving Dirichlet`s problem for an open disk and, hence, a class of general domains via Perron`s method. Finally, proof of the uniformization theorem of Riemann surfaces is given. This book emphasizes geometric aspects of analytic functions.
Автор: Ok, E. Название: Real analysis with economic applications ISBN: 0691117683 ISBN-13(EAN): 9780691117683 Издательство: Wiley Рейтинг: Цена: 115110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Addressing the topics of real analysis, this book discusses the elements of order theory, convex analysis, optimization, correspondences, linear and nonlinear functional analysis, fixed-point theory, dynamic programming, and calculus of variations. It includes fixed point theorems and applications to functional equations and optimization theory.
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