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Wednesday, July 8, 2020 | History

5 edition of Numerical methods and scientific computing found in the catalog.

Numerical methods and scientific computing

using software libraries for problem solving

by Norbert KoМ€ckler

  • 348 Want to read
  • 19 Currently reading

Published by Clarendon Press, Oxford University Press in Oxford, New York .
Written in English

    Subjects:
  • Engineering mathematics -- Data processing.,
  • Numerical analysis -- Data processing.

  • Edition Notes

    Includes bibliographical references (p. 309-314) and index.

    StatementNorbert Köckler.
    SeriesOxford science publications
    Classifications
    LC ClassificationsTA345 .K653 1994
    The Physical Object
    Paginationxviii, 328 p. :
    Number of Pages328
    ID Numbers
    Open LibraryOL1084346M
    ISBN 100198596987
    LC Control Number94008064

    Numerical Methods for Scientific Computing is an introducion to numerical methods and analysis techniques that can be used to solve a variety of complicated engineering and scientific problems. The material is suitable for upper level college undergraduates or beginning graduate students. There is more than enough material for a two semester course in numerical methods and analysis for. Numerical Methods in Scientific Computing. Pub Date: Bibcode: .D Keywords: Fourier analysis; numerical analysis; numerical integration; orthogonal systems; polynomial and rational approximation; power series methods; scientific computing; No Sources Found Cited by:

    Numerical Methods in Scientific Computing, Volume I enriches the traditional content of interpolation, approximation, Fourier analysis, quadrature, and root-finding with other material that is. Numerical analysis is the study of algorithms that use numerical approximation (as opposed to symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics).Numerical analysis naturally finds application in all fields of engineering and the physical sciences, but in the 21st century also the life sciences, social sciences, medicine, business and.

    Written for an introductory graduate course in numerical analysis, as well as for researchers who use numerical methods in science and engineering, Numerical Methods in Scientific Computing provides comprehensive coverage of numerical methods in scientific computing. While the book deals with traditional and well-developed topics, it also emphasizes concepts such as the design of accurate and. Numerical Analysis in Modern Scientific Computing. An Introduction "The book is remarkable for its outstanding didactic style and good readability. It has been printed accurately. Exercises, many examples, pictures, and a list of software help the student. The authors have been very careful to demonstrate efficient algorithms and their.


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