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Computer Science with MATHEMATICA ®

Computer Science with MATHEMATICA ®

Computer Science with MATHEMATICA ®

Theory and Practice for Science, Mathematics, and Engineering
Roman E. Maeder
July 2000
Paperback
9780521663953
AUD$96.95
inc GST
Paperback

    Computer algebra systems have revolutionized the use of computers within mathematics research, and are currently extending that revolution to the undergraduate mathematics curriculum. But the power of such systems goes beyond simple algebraic or numerical manipulation. This book shows how computer-aided mathematics has reached a level where it can support effectively many of the computations in science and engineering. In addition to treating traditional computer science topics, an introductory course should show scientists and engineers how these computer-based tools can be used to do scientific computations. A valuable text for computer science courses for scientists and engineers, this book should also prove useful to Mathematica users at all levels. Covering the latest release of Mathematica, the book includes useful tips and techniques to help even seasoned users.

    • Well-known Mathematica author
    • Valuable textbook for computing courses for scientists and engineers, showing how to use Mathematica instead of traditional programming languages
    • Contains tips and techniques useful for even seasoned users
    • Covers Version 4, the latest release of Mathematica

    Reviews & endorsements

    'This is an excellent introductory textbook in computer science via Mathematica. I recommend it for use in computer science classes for science and engineering students.' T. E. Simos, Computing Reviews

    See more reviews

    Product details

    July 2000
    Paperback
    9780521663953
    412 pages
    245 × 188 × 20 mm
    0.713kg
    116 b/w illus.
    Available

    Table of Contents

    • Preface
    • 1. About this book
    • 2. Computers and science
    • 3. Mathematica's programming language
    • 4. Iteration and recursion
    • 5. Structure of programs
    • 6. Abstract data types
    • 7. Algorithms for searching and sorting
    • 8. Complexity of algorithms
    • 9. Operations on vectors and matrices
    • 10. List processing and recursion
    • 11. Rule-based programming
    • 12. Functions
    • 13. Theory of computation
    • 14. Databases
    • 15. Object-oriented programming
    • Appendix A. Further reading
    • Appendix B. More information about Mathematica
    • Index.
    Resources for
    Type
    Author's website