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Methods of Dynamic and Nonsmooth Optimization

Methods of Dynamic and Nonsmooth Optimization

£34.99

Part of CBMS-NSF Regional Conference Series in Applied Mathematics

  • Date Published: November 1989
  • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • format: Paperback
  • isbn: 9780898712414

£ 34.99
Paperback

This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
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  • 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.

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    Product details

    • Date Published: November 1989
    • format: Paperback
    • isbn: 9780898712414
    • length: 96 pages
    • dimensions: 251 x 172 x 6 mm
    • weight: 0.175kg
    • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • Table of Contents

    Nonsmooth Analysis and Geometry
    The Basic Problem in the Calculus of Variations
    Verification Functions and Dynamic Programming
    Optimal Control
    References.

  • Author

    Frank H. Clarke, Université de Montréal

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