Feasibility and Infeasibility in Optimization:: Algorithms and Computational Methods (International Series in Operations Research & Management Science, 118)

Feasibility and Infeasibility in Optimization:: Algorithms and Computational Methods (I...

John W. Chinneck

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Feasibility and Infeasibility in Optimization:: Algorithm...
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    Feasibility and Infeasibility in Optimization:: Algorithms and Computational Methods (International Series in Operations Research & Management Science, 118)

    $123.32 USD
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    Book Details

    Author
    John W. Chinneck
    Publisher
    Springer
    Format
    Hardcover
    Language
    English
    Category
    Econometrics & Statistics
    Condition
    New
    ISBN-13
    9780387749310
    ISBN-10
    0387749314

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    Product description

    ISBN: 0387749314

    Author: Chinneck, John W.

    Condition: New

    Feasibility and Infeasibility in Optimization is an expository book focused on practical algorithms related to feasibility and infeasibility in optimization. Part I addresses algorithms for seeking feasibility quickly, including recent algorithms for the difficult cases of nonlinear and mixed-integer programs. Part II provides algorithms for analyzing infeasibility by isolating minimal infeasible (or maximum feasible) subsets of constraints, or by finding the best repair for the infeasibility. Part III describes surprising applications in areas such as classification, computational biology, and medicine. Connections to constraint programming are shown. A main goal is to impart an understanding of the methods so that practitioners can make immediate use of existing algorithms and software, and so that researchers can extend the state of the art and find new applications. The book is of interest to researchers, students, and practitioners across the applied sciences who are working on optimization problems.

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    Feasibility and Infeasibility in Optimization:: Algorithms and Computational Methods (International Series in Operations Research & Management Science, 118)

    $123.32 USD
     per 

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