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Duality for Nonconvex Approximation and Optimization

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12 February 2010
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The theory of convex optimization has been constantly developing over the past 30 years.  Most recently, many researchers have been studying more complicated classes of problems that still can be studied by means of convex analysis, so-called "anticonvex" and "convex-anticonvex" optimizaton problems.  This manuscript contains an exhaustive presentation of the duality for these classes of problems and some of its generalization in the framework of abstract convexity.  This manuscript will be of great interest for experts in this and related fields.

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    Product Details
    ISBN-13
    9781441921031
    Author
    Ivan Singer
    Publisher
    Springer Nature B.V.
    Published
    12 February 2010
    Format
    Paperback / softback

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    $241.30
    Ships in 3-5 business days

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    Duality for Nonconvex Approximation and Optimization

    $241.30

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    The theory of convex optimization has been constantly developing over the past 30 years.  Most recently, many researchers have been studying more complicated classes of problems that still can be studied by means of convex analysis, so-called "anticonvex" and "convex-anticonvex" optimizaton problems.  This manuscript contains an exhaustive presentation of the duality for these classes of problems and some of its generalization in the framework of abstract convexity.  This manuscript will be of great interest for experts in this and related fields.

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