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Modern Mathematical Methods for Physicists and Engineers

Modern Mathematical Methods for Physicists and Engineers

$119.99

textbook
  • Date Published: October 2000
  • availability: Temporarily unavailable - no date available
  • format: Paperback
  • isbn: 9780521598279

$119.99
Paperback

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About the Authors
  • The advent of powerful desktop computers has revolutionized scientific analysis and engineering design in fields as disparate as particle physics and telecommunications. This up-to-date volume provides the essential mathematical and computational education for students, researchers, and practicing engineers. The author begins with a review of computation, and then deals with a range of key concepts including sets, fields, matrix theory, and vector spaces. He then goes on to cover more advanced subjects such as linear mappings, group theory, and special functions. He concentrates exclusively on the most important topics for the working physical scientist or engineer with the aim of helping them to make intelligent use of the latest computational and analytical methods. The book contains well over 400 homework problems and covers many topics not dealt with in other textbooks. It will be ideal for senior undergraduate and graduate students in the physical sciences and engineering, as well as a valuable reference for working engineers.

    • Covers many topics not dealt with in other textbooks on mathematical methods
    • Distinguished author: Fellow of APS, IEEE, and OSA
    •  Uses a few simple but powerful concepts to enable the reader to organize and comprehend many topics that are important in applications
    • Contains well over 400 homework problems
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    Product details

    • Date Published: October 2000
    • format: Paperback
    • isbn: 9780521598279
    • length: 768 pages
    • dimensions: 255 x 179 x 36 mm
    • weight: 1.35kg
    • contains: 97 b/w illus. 19 tables 436 exercises
    • availability: Temporarily unavailable - no date available
  • Table of Contents

    Preface
    1. Foundations of computation
    2. Sets and mappings
    3. Evaluation of functions
    4. Groups, rings and fields
    5. Vector spaces
    6. Linear mappings I
    7. Linear functionals
    8. Inner products and norms
    9. Linear mappings II
    10. Convergence in normed vector spaces
    11. Group representations
    12. Special functions
    Appendices.

  • Author

    C. D. Cantrell, Erik Jonsson School of Engineering and Computer Science, University of Texas, Dallas

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