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Basics Of Practical Optimization The(Siam) 1905 Edition at Meripustak

Basics Of Practical Optimization The(Siam) 1905 Edition by Adam B. Levy, ORIENT BLACKSWAN

Books from same Author: Adam B. Levy

Books from same Publisher: ORIENT BLACKSWAN

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  • General Information  
    Author(s)Adam B. Levy
    PublisherORIENT BLACKSWAN
    ISBN9789386235435
    Pages168
    BindingSoftbound
    LanguageEnglish
    Publish YearJuly 1905

    Description

    ORIENT BLACKSWAN Basics Of Practical Optimization The(Siam) 1905 Edition by Adam B. Levy

    This textbook provides undergraduate students with an introduction to optimization and its uses for relevant and realistic problems. The only prerequisite for readers is a basic understanding of multivariable calculus because additional materials, such as explanations of matrix tools, are provided in a series of Asides both throughout the text at relevant points and in a handy appendix.The book presentsstep-by-step solutions for five prototypical examples that fit the general optimization model,instruction on using numerical methods to solve models and making informed use of the results,information on how to optimize while adjusting the method to accommodate various practical concerns,three fundamentally different approaches to optimizing functions under constraints, andways to handle the special case when the variables are integers.The author provides four types of learn-by-doing activities throughout the book:Exercises meant to be attempted as they are encountered and that are short enough for in-class useProblems for lengthier in-class work or homeworkComputational Problems for homework or a computer lab sessionImplementations usable as collaborative activities in the computer lab over extended periods of timeThis textbook is appropriate for undergraduate students who have taken a multivariable calculus course. Keywords: optimization; linear programming; applied mathematics; modelling; numerical methods. List of Figures; List of Tables; Preface; 1 Modeling; 2 Impractical Optimization; 3 Basic Practical Optimization; 4 Some Practical Modifications; 5 How Methods Are Ranked; 6 Constraints; 7 More Practical Modifications; 8 Integer Variables; 9 Other Methods; Appendix of Asides; Bibliography; Index



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