Overview
- Contains a number of examples as well as section-by section problems, ranging from simple to complex
- Problems illustrate the application of concepts introduced as well as further developments
- Extensive hints and solutions are provided
- Full chapter on extrema, including examples when the Lagrange method appears to "fail"
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Table of contents (9 chapters)
Keywords
About this book
Reviews
From the reviews:
“This is a textbook for a rigorous multivariable analysis course, intended for an undergraduate audience of juniors and seniors … . The book also includes some material not easily found in the existing literature. … also contains detailed solutions to many of its exercise; in fact, almost one-quarter of the book is devoted to solutions. … the book very attractive to people interested in self-study, as well as to instructors using different books who are looking for a source of additional problems for their classes.” (Mark Hunacek, The Mathematical Association of America, November, 2011)
Authors and Affiliations
Bibliographic Information
Book Title: Multivariable Analysis
Authors: Satish Shirali, Harkrishan Lal Vasudeva
DOI: https://doi.org/10.1007/978-0-85729-192-9
Publisher: Springer London
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag London Limited 2011
Softcover ISBN: 978-0-85729-191-2Published: 20 December 2010
eBook ISBN: 978-0-85729-192-9Published: 13 December 2010
Edition Number: 1
Number of Pages: X, 394
Number of Illustrations: 18 b/w illustrations
Topics: Real Functions