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Functional Analysis Tools for Practical Use in Sciences and Engineering
Buch von Carlos A. De Moura
Sprache: Englisch

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Beschreibung
This textbook describes selected topics in functional analysis as powerful tools of immediate use in many fields within applied mathematics, physics and engineering. It follows a very reader-friendly structure, with the presentation and the level of exposition especially tailored to those who need functional analysis but don¿t have a strong background in this branch of mathematics. For every tool, this work emphasizes the motivation, the justification for the choices made, and the right way to employ the techniques. Proofs appear only when necessary for the safe use of the results.
The book gently starts with a road map to guide reading. A subsequent chapter recalls definitions and notation for abstract spaces and some function spaces, while Chapter 3 enters dual spaces. Tools from Chapters 2 and 3 find use in Chapter 4, which introduces distributions. The Linear Functional Analysis basic triplet makes up Chapter 5, followed by Chapter 6, whichintroduces the concept of compactness. Chapter 7 brings a generalization of the concept of derivative for functions defined in normed spaces, while Chapter 8 discusses basic results about Hilbert spaces that are paramount to numerical approximations. The last chapter brings remarks to recent bibliographical items. Elementary examples included throughout the chapters foster understanding and self-study.
By making key, complex topics more accessible, this book serves as a valuable resource for researchers, students, and practitioners alike that need to rely on solid functional analysis but don¿t need to delve deep into the underlying theory.
This textbook describes selected topics in functional analysis as powerful tools of immediate use in many fields within applied mathematics, physics and engineering. It follows a very reader-friendly structure, with the presentation and the level of exposition especially tailored to those who need functional analysis but don¿t have a strong background in this branch of mathematics. For every tool, this work emphasizes the motivation, the justification for the choices made, and the right way to employ the techniques. Proofs appear only when necessary for the safe use of the results.
The book gently starts with a road map to guide reading. A subsequent chapter recalls definitions and notation for abstract spaces and some function spaces, while Chapter 3 enters dual spaces. Tools from Chapters 2 and 3 find use in Chapter 4, which introduces distributions. The Linear Functional Analysis basic triplet makes up Chapter 5, followed by Chapter 6, whichintroduces the concept of compactness. Chapter 7 brings a generalization of the concept of derivative for functions defined in normed spaces, while Chapter 8 discusses basic results about Hilbert spaces that are paramount to numerical approximations. The last chapter brings remarks to recent bibliographical items. Elementary examples included throughout the chapters foster understanding and self-study.
By making key, complex topics more accessible, this book serves as a valuable resource for researchers, students, and practitioners alike that need to rely on solid functional analysis but don¿t need to delve deep into the underlying theory.
Über den Autor
Carlos A. de Moura is a retired, now Visiting Professor for the State University of Rio de Janeiro-UERJ, Brazil, at the graduate programs of Computational Sciences and Mechanical Engineering. He got a PhD in Applied Mathematics from the New York University-Courant Institute, USA (1976), under the supervision of Peter D. Lax and Jerome A. Goldstein, with a Master's degree from IMPA (1969), besides post-doc studies in France at the INRIA (1990-92) and the Collège de France (1992). Dr. de Moura has supervised Master and PhD Students in Mathematics, Computer Sciences, Engineering and Geosciences.
Zusammenfassung

Covers topics on functional analysis of immediate use in applied sciences

Designed for science and engineering students who need functional analysis as a tool

Includes key examples in every chapter, promoting understanding and encouraging self-study

Inhaltsverzeichnis
Road Map.- Basic Concepts.- Dual of a Normed Space.- Sobolev Spaces, Distributions.- The Three Basic Principles.- Compactness.- Function Derivatives in Normed Spaces.- Hilbert Bases and Approximations.
Details
Erscheinungsjahr: 2022
Fachbereich: Analysis
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 232
Inhalt: xvii
214 S.
16 s/w Illustr.
214 p. 16 illus.
ISBN-13: 9783031105975
ISBN-10: 3031105974
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: De Moura, Carlos A.
Auflage: 1st ed. 2022
Hersteller: Springer International Publishing
Springer International Publishing AG
Maße: 241 x 160 x 19 mm
Von/Mit: Carlos A. De Moura
Erscheinungsdatum: 14.10.2022
Gewicht: 0,518 kg
preigu-id: 121977810
Über den Autor
Carlos A. de Moura is a retired, now Visiting Professor for the State University of Rio de Janeiro-UERJ, Brazil, at the graduate programs of Computational Sciences and Mechanical Engineering. He got a PhD in Applied Mathematics from the New York University-Courant Institute, USA (1976), under the supervision of Peter D. Lax and Jerome A. Goldstein, with a Master's degree from IMPA (1969), besides post-doc studies in France at the INRIA (1990-92) and the Collège de France (1992). Dr. de Moura has supervised Master and PhD Students in Mathematics, Computer Sciences, Engineering and Geosciences.
Zusammenfassung

Covers topics on functional analysis of immediate use in applied sciences

Designed for science and engineering students who need functional analysis as a tool

Includes key examples in every chapter, promoting understanding and encouraging self-study

Inhaltsverzeichnis
Road Map.- Basic Concepts.- Dual of a Normed Space.- Sobolev Spaces, Distributions.- The Three Basic Principles.- Compactness.- Function Derivatives in Normed Spaces.- Hilbert Bases and Approximations.
Details
Erscheinungsjahr: 2022
Fachbereich: Analysis
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 232
Inhalt: xvii
214 S.
16 s/w Illustr.
214 p. 16 illus.
ISBN-13: 9783031105975
ISBN-10: 3031105974
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: De Moura, Carlos A.
Auflage: 1st ed. 2022
Hersteller: Springer International Publishing
Springer International Publishing AG
Maße: 241 x 160 x 19 mm
Von/Mit: Carlos A. De Moura
Erscheinungsdatum: 14.10.2022
Gewicht: 0,518 kg
preigu-id: 121977810
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