E Book

Practical Mathematical Optimization

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Line Search Descent Methods for Unconstrained Minimization -- Standard Methods for Constrained Optimization -- New Gradient-Based Trajectory and Approximation Methods -- Example Problems -- Some Theorems.This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form without neglecting rigour. The work should enable the professional to apply optimization theory and algorithms to his own particular practical field of interest, be it engineering, physics, chemistry, or business economics. Most importantly, for the first time in a relatively brief and introductory work, due attention is paid to the difficulties—such as noise, discontinuities, expense of function evaluations, and the existence of multiple minima—that often unnecessarily inhibit the use of gradient-based methods. In a separate chapter on new gradient-based methods developed by the author and his coworkers, it is shown how these difficulties may be overcome without losing the desirable features of classical gradient-based methods. Audience It is intended that this book be used in senior- to graduate-level semester courses in optimization, as offered in mathematics, engineering, computer science, and operations research departments, and also to be useful to practising professionals in the workplace.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

Boston : Springer., 2005

Deskripsi Fisik

XX, 258 p.online resource.

Bahasa

English

ISBN/ISSN

9780387243498

Klasifikasi

519.6

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

1st ed. 2005.

Subjek

Mathematical optimization.
Optimization.
Algorithms.
Management science.
Numerical analysis.
Operations research.
Operations Research, Management Science.

Info Detail Spesifik

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Pernyataan Tanggungjawab

Jan Snyman.

Versi lain/terkait

Lampiran Berkas

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