Integral Measure And Derivative

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Integral, Measure and Derivative

Author	: G. E. Shilov
Publisher	: Courier Corporation
Total Pages	: 258
Release	: 2013-05-13
ISBN-10	: 9780486165615
ISBN-13	: 0486165612
Rating	: 4/5 (612 Downloads)

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Book Synopsis Integral, Measure and Derivative by : G. E. Shilov

Download or read book Integral, Measure and Derivative written by G. E. Shilov and published by Courier Corporation. This book was released on 2013-05-13 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This treatment examines the general theory of the integral, Lebesque integral in n-space, the Riemann-Stieltjes integral, and more. "The exposition is fresh and sophisticated, and will engage the interest of accomplished mathematicians." — Sci-Tech Book News. 1966 edition.

Integral, Measure and Derivative Related Books

Language: en
Pages: 258

Integral, Measure and Derivative

Authors: G. E. Shilov

Categories: Mathematics

Type: BOOK - Published: 2013-05-13 - Publisher: Courier Corporation

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This treatment examines the general theory of the integral, Lebesque integral in n-space, the Riemann-Stieltjes integral, and more. "The exposition is fresh and

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Categories: Mathematics

Type: BOOK - Published: 2014-07-08 - Publisher: Springer Science & Business Media

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This classroom-tested text is intended for a one-semester course in Lebesgue’s theory. With over 180 exercises, the text takes an elementary approach, making

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Derivatives and Integrals of Multivariable Functions

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Categories: Mathematics

Type: BOOK - Published: 2003-08-22 - Publisher: Springer Science & Business Media

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This work provides a systematic examination of derivatives and integrals of multivariable functions. The approach taken here is similar to that of the author’

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Categories: Mathematics

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This textbook introduces geometric measure theory through the notion of currents. Currents, continuous linear functionals on spaces of differential forms, are a

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Authors: Marek Capinski

Categories: Mathematics

Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media

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This very well written and accessible book emphasizes the reasons for studying measure theory, which is the foundation of much of probability. By focusing on me