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| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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250225b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783031292187 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
519.6 |
| Item number |
SNI |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Snider, Arthur David |
| 245 ## - TITLE STATEMENT |
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| Title |
Basics of optimization theory |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
2023 |
| Place of publication, distribution, etc |
Cham : |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
viii, 143 p. ; |
| Other physical details |
ill., (some col.), |
| Dimensions |
25 cm |
| 365 ## - TRADE PRICE |
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| Price amount |
39.99 |
| Price type code |
€ |
| Unit of pricing |
93.20 |
| 490 ## - SERIES STATEMENT |
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| Series statement |
Synthesis Lectures on Mathematics & Statistics |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibiographical references. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
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 conditions Serves as a resource for readers to use the tools of optimization without needing to acquire expertise in the theory Features plentiful resources that focus on rigorous definitions, proofs, and case studies. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Mathematical optimization |
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| Topical term or geographic name as entry element |
Augmented matrix |
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| Topical term or geographic name as entry element |
C-row |
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| Topical term or geographic name as entry element |
Convex polygon |
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| Topical term or geographic name as entry element |
Fibonacci search |
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| Topical term or geographic name as entry element |
Global minimum; |
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| Topical term or geographic name as entry element |
Lagrange multiplier |
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| Topical term or geographic name as entry element |
Objective function |
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| Topical term or geographic name as entry element |
Simplex algorithm |
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| Topical term or geographic name as entry element |
Slack variables |
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| Topical term or geographic name as entry element |
Steepest descent |
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| Topical term or geographic name as entry element |
Unimodal function |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
|
| Item type |
Books |