Name: Basics of Optimization Theory
SKU: 64791252
Price: 1562.00 TWD
Availability: InStock
Author: Arthur David Snider
ISBN: 9783031292217

Type

Physical Book

Publisher

Springer International Publishing AG

Author

Arthur David Snider

Collection

Synthesis Lectures on Mathematics & Statistics

Year

2024

Pages

143

Format

Paperback

Dimensions

24x16.8 cm

ISBN13

9783031292217

Basics of Optimization Theory

Arthur David Snider (Author) · Springer International Publishing AG · Paperback

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Synopsis "Basics of Optimization Theory"

This book presents a short introduction to the main tools of optimization methodology including linear programming, steepest descent, conjugate gradients, and the Karush-Kuhn-Tucker-John conditions. Each topic is developed in terms of a specific physical model, so that the strategy behind every step is motivated by a logical, concrete, easily visualized objective. A quick perusal of the Fibonacci search algorithm provides a simple and tantalizing first encounter with optimization theory, and a review of the max-min exposition of one-dimensional calculus prepares readers for the more sophisticated topics found later in the book. Notable features are the innovative perspectives on the simplex algorithm and Karush-Kuhn-Tucker-John conditions as well as a wealth of helpful diagrams. The author provides pointers to references for readers who would like to learn more about rigorous definitions, proofs, elegant reformulations and extensions, and case studies. However, the book is sufficiently self-contained to serve as a reliable resource for readers who wish to exploit commercially available optimization software without investing the time to develop expertise in its aspects. This book also:Features innovative perspectives on the simplex algorithm and Krushal-Kuhn-Tucker-John conditionsServes as a resource for readers to use the tools of optimization without needing to acquire expertise in the theoryFeatures plentiful resources that focus on rigorous definitions, proofs, and case studies