Principles Of Real Analysis, Junghenn

Автор: Ok, E.
Название: Real analysis with economic applications
ISBN: 0691117683 ISBN-13(EAN): 9780691117683
Издательство: Wiley
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Цена: 17266.00 р.
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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.

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: Rudin
Название: Principles of Mathematical Analysis
ISBN: 0070856133 ISBN-13(EAN): 9780070856134
Издательство: McGraw-Hill
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Цена: 10123.00 р.
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Описание: Provides tools to design and implement network-orientated applications in .NET. Written in two languages C# and VB.NET, this book covers information on Telephony in .NET and packet-level networking. It also addresses real-world issues facing professional developers, such as using third-party components as opposed in-house development.

Автор: Howell
Название: Principles Of Fourier Analysis 2E
ISBN: 149873409X ISBN-13(EAN): 9781498734097
Издательство: Taylor&Francis
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Цена: 14086.00 р.
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Описание: Strikingly different from typical presentations, Principles of Fourier Analysis provides an introduction to and comprehensive overview of the mathematical theory of Fourier analysis as it is used in applications in engineering, science, and mathematics.

Автор: Bevington; Robinson
Название: Data Reduction And Error Analysis For The Physical Sciences
ISBN: 0071199268 ISBN-13(EAN): 9780071199261
Издательство: McGraw-Hill
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Цена: 7377.00 р.
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Описание: Provides an introduction to the concepts of statistical analysis of data for students at undergraduate and graduate level. This text also provides tools for data reduction and error analysis commonly required in the physical sciences. It features a variety of numerical and graphical techniques, and emphasizes methods of handling data than theory.