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Foundations of Abstract Analysis

Foundations of Abstract Analysis
Author: Jewgeni H. Dshalalow
Publisher: Springer Science & Business Media
Total Pages: 756
Release: 2012-11-09
Genre: Mathematics
ISBN: 1461459621

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Foundations of Abstract Analysis is the first of a two book series offered as the second (expanded) edition to the previously published text Real Analysis. It is written for a graduate-level course on real analysis and presented in a self-contained way suitable both for classroom use and for self-study. While this book carries the rigor of advanced modern analysis texts, it elaborates the material in much greater details and therefore fills a gap between introductory level texts (with topics developed in Euclidean spaces) and advanced level texts (exclusively dealing with abstract spaces) making it accessible for a much wider interested audience. To relieve the reader of the potential overload of new words, definitions, and concepts, the book (in its unique feature) provides lists of new terms at the end of each section, in a chronological order. Difficult to understand abstract notions are preceded by informal discussions and blueprints followed by thorough details and supported by examples and figures. To further reinforce the text, hints and solutions to almost a half of more than 580 problems are provided at the end of the book, still leaving ample exercises for assignments. This volume covers topics in point-set topology and measure and integration. Prerequisites include advanced calculus, linear algebra, complex variables, and calculus based probability.


Foundations of Real and Abstract Analysis

Foundations of Real and Abstract Analysis
Author: Douglas S. Bridges
Publisher: Springer Science & Business Media
Total Pages: 328
Release: 1998
Genre: Business & Economics
ISBN: 0387982396

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A complete course on metric, normed, and Hilbert spaces, including many results and exercises seldom found in texts on analysis at this level. The author covers an unusually wide range of material in a clear and concise format, including elementary real analysis, Lebesgue integration on R, and an introduction to functional analysis. The book begins with a fast-paced course on real analysis, followed by an introduction to the Lebesgue integral. This provides a reference for later chapters as well as a preparation for students with only the typical sequence of undergraduate calculus courses as prerequisites. Other features include a chapter introducing functional analysis, the Hahn-Banach theorem and duality, separation theorems, the Baire Category Theorem, the Open Mapping Theorem and their consequences, and unusual applications. Of special interest are the 750 exercises, many with guidelines for their solutions, applications and extensions of the main propositions and theorems, pointers to new branches of the subject, and difficult challenges for the very best students.


Foundations of Abstract Analysis

Foundations of Abstract Analysis
Author: Springer
Publisher:
Total Pages: 764
Release: 2012-11-10
Genre:
ISBN: 9781461459637

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Foundations of Abstract Analysis

Foundations of Abstract Analysis
Author: Jewgeni H. Dshalalow
Publisher: Springer
Total Pages: 764
Release: 2016-05-01
Genre:
ISBN: 9781493943883

Download Foundations of Abstract Analysis Book in PDF, ePub and Kindle

The first of a two book series which comprises the expanded second edition of the previously published text Real Analysis, this volume covers topics in point-set topology and measure and integration. Includes examples and figures, and some 580 problems.


Foundations of Real and Abstract Analysis

Foundations of Real and Abstract Analysis
Author: Douglas S. Bridges
Publisher: Springer Science & Business Media
Total Pages: 328
Release: 2006-04-06
Genre: Mathematics
ISBN: 0387226206

Download Foundations of Real and Abstract Analysis Book in PDF, ePub and Kindle

A complete course on metric, normed, and Hilbert spaces, including many results and exercises seldom found in texts on analysis at this level. The author covers an unusually wide range of material in a clear and concise format, including elementary real analysis, Lebesgue integration on R, and an introduction to functional analysis. The book begins with a fast-paced course on real analysis, followed by an introduction to the Lebesgue integral. This provides a reference for later chapters as well as a preparation for students with only the typical sequence of undergraduate calculus courses as prerequisites. Other features include a chapter introducing functional analysis, the Hahn-Banach theorem and duality, separation theorems, the Baire Category Theorem, the Open Mapping Theorem and their consequences, and unusual applications. Of special interest are the 750 exercises, many with guidelines for their solutions, applications and extensions of the main propositions and theorems, pointers to new branches of the subject, and difficult challenges for the very best students.


Fundamentals of Abstract Analysis

Fundamentals of Abstract Analysis
Author: Andrew Gleason
Publisher: A K Peters/CRC Press
Total Pages: 440
Release: 1991
Genre: Mathematics
ISBN: 9780867202090

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This classic is an ideal introduction for students into the methodology and thinking of higher mathematics. It covers material not usually taught in the more technically-oriented introductory classes and will give students a well-rounded foundation for future studies.


Introduction to Abstract Analysis

Introduction to Abstract Analysis
Author: Marvin E. Goldstein
Publisher: Courier Corporation
Total Pages: 257
Release: 2014-10-27
Genre: Mathematics
ISBN: 0486799913

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Concise text prepares readers to pursue abstract analysis in the literature of pure mathematics. Detailed, easy-to-follow proofs and examples illustrate topics including real numbers, vector and metric spaces, infinite series, and other concepts. 1969 edition.


Mathematical Foundations for Data Analysis

Mathematical Foundations for Data Analysis
Author: Jeff M. Phillips
Publisher: Springer Nature
Total Pages: 299
Release: 2021-03-29
Genre: Mathematics
ISBN: 3030623416

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This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds, cross validation, gradient descent, and principal component analysis. It also surveys basic techniques in supervised (regression and classification) and unsupervised learning (dimensionality reduction and clustering) through an accessible, simplified presentation. Students are recommended to have some background in calculus, probability, and linear algebra. Some familiarity with programming and algorithms is useful to understand advanced topics on computational techniques.


Analysis I

Analysis I
Author: Herbert Amann
Publisher: Springer Science & Business Media
Total Pages: 436
Release: 2006-03-14
Genre: Mathematics
ISBN: 3764373237

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"This textbook provides an outstanding introduction to analysis. It is distinguished by its high level of presentation and its focus on the essential.'' (Zeitschrift für Analysis und ihre Anwendung 18, No. 4 - G. Berger, review of the first German edition) "One advantage of this presentation is that the power of the abstract concepts are convincingly demonstrated using concrete applications.'' (W. Grölz, review of the first German edition)


Foundations of Analysis

Foundations of Analysis
Author: Joseph L. Taylor
Publisher: American Mathematical Soc.
Total Pages: 411
Release: 2012
Genre: Mathematics
ISBN: 0821889842

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Foundations of Analysis has two main goals. The first is to develop in students the mathematical maturity and sophistication they will need as they move through the upper division curriculum. The second is to present a rigorous development of both single and several variable calculus, beginning with a study of the properties of the real number system. The presentation is both thorough and concise, with simple, straightforward explanations. The exercises differ widely in level of abstraction and level of difficulty. They vary from the simple to the quite difficult and from the computational to the theoretical. Each section contains a number of examples designed to illustrate the material in the section and to teach students how to approach the exercises for that section. --Book cover.