Elementary Linear Programming with Applications (Computer Science & Scientific Computing Series)

Elementary Linear Programming with Applications (Computer Science & Scientific Computin...

Bernard Kolman

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Elementary Linear Programming with Applications (Computer...
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    Elementary Linear Programming with Applications (Computer Science & Scientific Computing Series)

    £72.00 GBP
     per 
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    Book Details

    Author
    Bernard Kolman
    Publisher
    Academic Press
    Format
    Paperback
    Language
    English
    Category
    Business & Money
    Condition
    New
    ISBN-13
    9780124179103
    ISBN-10
    012417910X

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    Product description

    ISBN: 012417910X

    Author: Kolman, Bernard

    Condition: New

    Linear programming finds the least expensive way to meet given needs with available resources. Its results are used in every area of engineering and commerce: agriculture, oil refining, banking, and air transport. Authors Kolman and Beck present the basic notions of linear programming and illustrate how they are used to solve important common problems. The software on the included disk leads students step-by-step through the calculations.The Second Edition is completely revised and provides additional review material on linear algebra as well as complete coverage of elementary linear programming. Other topics covered include: the Duality Theorem; transportation problems; the assignment problem; and the maximal flow problem. New figures and exercises are provided and the authors have updated all computer applications. More review material on linear algebra Elementary linear programming covered more efficiently Presentation improved, especially for the duality theorem, transportation problems, the assignment problem, and the maximal flow problem New figures and exercises Computer applications updated New guide to inexpensive linear programming software for personal computers

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    Elementary Linear Programming with Applications (Computer Science & Scientific Computing Series)

    £72.00 GBP
     per 

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