Basics of Optimization Theory

Language: English

Published by Springer, Springer Aug 2024, 2024

3031292219 / 9783031292217

Series: Book 58 of 72 - Synthesis Lectures on Mathematics & Statistics

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 152 pp. Englisch.…

Seller Inventory # 9783031292217

Title
Basics of Optimization Theory
Author
Arthur David Snider
Publisher
Springer, Springer Aug 2024
Publication year
2024
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031292219
ISBN 13
9783031292217
Item weight
268 grams
Dimensions
240x168x9 mm
Series
Book 58 of 72: Synthesis Lectures on Mathematics & Statistics

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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