Introduction to Model Spaces and their Operators, Garcia

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 27712.00 р.
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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: Young, N.
Название: An Introduction to hilbert spaces
ISBN: 0521337178 ISBN-13(EAN): 9780521337175
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: This textbook is an introduction to the theory of Hilbert space and its applications. The notion of Hilbert space is central in functional analysis and is used in numerous branches of pure and applied mathematics. Some basic familiarity with real analysis, linear algebra and metric spaces is assumed, but otherwise the book is self-contained.

Название: Introduction to Pseudo-differential Operators
ISBN: 9814583081 ISBN-13(EAN): 9789814583084
Издательство: World Scientific Publishing
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Описание: The aim of this third edition is to give an accessible and essentially self-contained account of pseudo-differential operators based on the previous edition. New chapters notwithstanding, the elementary and detailed style of earlier editions is maintained in order to appeal to the largest possible group of readers. The focus of this book is on the global theory of elliptic pseudo-differential operators on Lp(Rn).The main prerequisite for a complete understanding of the book is a basic course in functional analysis up to the level of compact operators. It is an ideal introduction for graduate students in mathematics and mathematicians who aspire to do research in pseudo-differential operators and related topics.

Автор: Paulsen
Название: An Introduction to the Theory of Reproducing Kernel Hilbert Spaces
ISBN: 1107104092 ISBN-13(EAN): 9781107104099
Издательство: Cambridge Academ
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Цена: 9979.00 р.
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Описание: Covering the fundamental underlying theory as well as a range of applications, this unique text provides a unified overview of reproducing kernel Hilbert spaces. It offers an unrivalled and accessible introduction to the field, ideal for graduate students and researchers working in functional analysis or its applications.