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An Introduction To Unconstrained Optimisation: A Computer Illustrated Text at Meripustak

An Introduction To Unconstrained Optimisation: A Computer Illustrated Text by J McKeown   D Meegan   D Sprevak, Taylor & Francis Ltd

Books from same Author: J McKeown   D Meegan   D Sprevak

Books from same Publisher: Taylor & Francis Ltd

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  • General Information  
    Author(s)J McKeown   D Meegan   D Sprevak
    PublisherTaylor & Francis Ltd
    Edition..
    ISBN9780750300254
    Pages160
    BindingPaperback
    LanguageEnglish
    Publish YearJanuary 1990

    Description

    Taylor & Francis Ltd An Introduction To Unconstrained Optimisation: A Computer Illustrated Text by J McKeown   D Meegan   D Sprevak

    Integrating computer graphics and computer-based exercises with the text An Introduction to Unconstrained Optimisation illustrates key methods with many examples and exercises using the computer. The book takes an elementary approach to this advanced topic allowing readers to concentrate on learning and understanding the concepts of numerical optimization without unnecessary involvement in the intricacies of the subject. In addition the modular approach of the software provides the opportunity to explore the algorithms used and to develop them further or try alternative approaches. Most of the algorithms are based upon a "hill-climbing" concept which in two dimensions is illustrated dynamically on the computer screen in the form of contour plots and search directions. The text is not specific to any particular microcomputer. Software is available for the BBC series of machines (40/80 track disc formats) and PC-compatible machines. The software is not available from your local bookstore but is easily obtainable using the order form in the book. Keeping proofs and lists of methods to a minimum the book is at a level suitable for a first course in numerical analysis with a basic knowledge of calculus and vector algebra assumed. This book/software package will be of interest to professionals teachers and undergraduate students in mathematics operational research science and engineering as well as economics and management courses that deal with quantitative methods.



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