Last edited by Vudozahn
Wednesday, May 20, 2020 | History

4 edition of Mathematical modelling found in the catalog.

Mathematical modelling

a source book of case studies

  • 218 Want to read
  • 6 Currently reading

Published by Oxford University Press in Oxford [England], New York .
Written in English

    Subjects:
  • Mathematical models

  • Edition Notes

    Includes bibliographical references.

    Statementedited by I.D. Huntley and D.J.G. James.
    SeriesOxford science publications
    ContributionsHuntley, Ian., James, D. J. G.
    Classifications
    LC ClassificationsQA401 .M3936 1990
    The Physical Object
    Paginationxiv, 462 p. :
    Number of Pages462
    ID Numbers
    Open LibraryOL1885699M
    ISBN 100198536577
    LC Control Number90046757

    Good book for mathematical modeling. Ask Question Asked 5 years, 8 months ago. Active 5 years, 8 months ago. Viewed 3k times 5. 8 $\begingroup$ Could you recommend/suggest a good book about mathematical modeling (Not advanced) with examples about classical mechanics, dynamics, aerodynamics, chemistry, electronics and etc? reference. Mathematical Modeling I – preliminary is designed for undergraduate students. Two other followup books, Mathematical Modeling II – advanced and Mathematical Modeling III – case studies in biology, will be published. II and III will be designed for both graduate students and undergraduate students/5(30).

    The design and manufacturing of pop-up books are mainly manual at present, but a number of the processes therein can benefit from computerization and automation. This paper studies one aspect of. Mathematical Modelling in Systems Biology: An Introduction by mathematical models, and such models may soon become requisites for describing the behaviour that interested researchers at all levels will find the book useful for self-study. The mathematical prerequisite for this text is a working knowledge of the derivative; this isFile Size: 5MB.

    Mathematical Modeling for Business Analytics is written for decision makers at all levels. This book presents the latest tools and techniques available to help in the decision process. The interpretation and explanation of the results are crucial to understanding the strengths and limitations of mod. In addition, it covers some areas which are outside the scope of mainstream financial mathematics textbooks. For example, it presents marginal account setting by the CCP and systemic risk, and a brief overview of the model risk. Inline exercises and examples are included to help students prepare for exams on this book. No ratings (0 reviews.


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