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Computer Science with MATHEMATICA ®

Computer Science with MATHEMATICA ®
Theory and Practice for Science, Mathematics, and Engineering

  • Date Published: May 2000
  • availability: Available
  • format: Paperback
  • isbn: 9780521663953


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About the Authors
  • 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
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    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

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    Product details

    • Date Published: May 2000
    • format: Paperback
    • isbn: 9780521663953
    • length: 412 pages
    • dimensions: 245 x 188 x 20 mm
    • weight: 0.713kg
    • contains: 116 b/w illus.
    • availability: Available
  • Table of Contents

    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

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    Computer Science with MATHEMATICA ®

    Roman E. Maeder

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  • Author

    Roman E. Maeder

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