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    Title
    Methods of Dynamic and Nonsmooth Optimization
    Authors and contributors
    By (author) Frank H. Clarke, Series edited by Ron Rozier
    Physical properties
    Format: Paperback
    Number of pages: 96
    Width: 152 mm
    Height: 228 mm
    Thickness: 6 mm
    Weight: 175 g
    Audience
    Professional and scholarly
    College/higher education
    Language
    English
    ISBN
    ISBN 13: 9780898712414
    ISBN 10: 0898712416
    Classifications
    Dewey: 519.3
    LC classification: QA402.5 .C52 1989
    Nielsen BookScan Product Class: S7.8
    BICMainSubject: PBU
    Dewey: 519.3
    BISAC category code: MAT000000
    BISAC category code: MAT011000
    BISAC category code: MAT017000
    BICMainSubject: PBW
    Publisher
    Society for Industrial & Applied Mathematics,U.S.
    Imprint name
    Society for Industrial & Applied Mathematics,U.S.
    Publication date
    01 July 1989
    Publication City/Country
    New York/US
    Description for bookstore
    Presents the elements of a unified approach to optimization based on 'nonsmooth analysis', a term introduced in the 1970s by the author, who is a pioneer in the field. This volume presents its subjects in a self-contained and accessible manner.
    Description for library
    Presents the elements of a unified approach to optimization based on 'nonsmooth analysis', a term introduced in the 1970s by the author, who is a pioneer in the field. This volume presents its subjects in a self-contained and accessible manner.
    Main description
    Presents the elements of a unified approach to optimization based on 'nonsmooth analysis', a term introduced in the 1970's by the author, who is a pioneer in the field. Based on a series of lectures given at a conference at Emory University in 1986, this volume presents its subjects in a self-contained and accessible manner. The topics treated here have been in an active state of development. Focuses mainly on deterministic optimal control, the calculus of variations, and mathematical programming. In addition, it features a tutorial in nonsmooth analysis and geometry and demonstrates that the method of value function analysis via proximal normals is a powerful tool in the study of necessary conditions, sufficient conditions, controllability, and sensitivity analysis. The distinction between inductive and deductive methods, the use of Hamiltonians, the verification technique, and penalization are also emphasized.
    Table of contents
    Nonsmooth Analysis and Geometry; The Basic Problem in the Calculus of Variations; Verification Functions and Dynamic Programming; Optimal Control; References.