Description

A comprehensive introduction to convexity and optimization inRn

This book presents the mathematics of finite dimensionalconstrained optimization problems. It provides a basis for thefurther mathematical study of convexity, of more generaloptimization problems, and of numerical algorithms for the solutionof finite dimensional optimization problems. For readers who do nothave the requisite background in real analysis, the author providesa chapter covering this material. The text features abundantexercises and problems designed to lead the reader to a fundamentalunderstanding of the material.

Convexity and Optimization in Rn provides detailed discussionof:
* Requisite topics in real analysis
* Convex sets
* Convex functions
* Optimization problems
* Convex programming and duality
* The simplex method

A detailed bibliography is included for further study and an indexoffers quick reference. Suitable as a text for both graduate andundergraduate students in mathematics and engineering, thisaccessible text is written from extensively class-tested notes.

Convexity and Optimization in Rn

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£156.95

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Hardback by Leonard D. Berkovitz

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Short Description:

A comprehensive introduction to convexity and optimization inRn This book presents the mathematics of finite dimensionalconstrained optimization problems. It provides... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 29/01/2002
    ISBN13: 9780471352815, 978-0471352815
    ISBN10: 0471352810

    Number of Pages: 280

    Non Fiction , Mathematics & Science , Education

    Description

    A comprehensive introduction to convexity and optimization inRn

    This book presents the mathematics of finite dimensionalconstrained optimization problems. It provides a basis for thefurther mathematical study of convexity, of more generaloptimization problems, and of numerical algorithms for the solutionof finite dimensional optimization problems. For readers who do nothave the requisite background in real analysis, the author providesa chapter covering this material. The text features abundantexercises and problems designed to lead the reader to a fundamentalunderstanding of the material.

    Convexity and Optimization in Rn provides detailed discussionof:
    * Requisite topics in real analysis
    * Convex sets
    * Convex functions
    * Optimization problems
    * Convex programming and duality
    * The simplex method

    A detailed bibliography is included for further study and an indexoffers quick reference. Suitable as a text for both graduate andundergraduate students in mathematics and engineering, thisaccessible text is written from extensively class-tested notes.

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