Overview
- 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
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About this book
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.
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Table of contents (8 chapters)
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Bibliographic Information
Book Title: Functional Analysis Tools for Practical Use in Sciences and Engineering
Authors: Carlos A. de Moura
DOI: https://doi.org/10.1007/978-3-031-10598-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-10597-5Published: 14 October 2022
Softcover ISBN: 978-3-031-10600-2Published: 15 October 2023
eBook ISBN: 978-3-031-10598-2Published: 13 October 2022
Edition Number: 1
Number of Pages: XVII, 214
Number of Illustrations: 16 b/w illustrations
Topics: Functional Analysis, Sequences, Series, Summability, Integral Transforms, Operational Calculus