Linear optimization - Info and Reading Options
the simplex workbook
By Glenn H. Hurlbert
"Linear optimization" was published by Springer in 2010 - New York, it has 272 pages and the language of the book is English.
“Linear optimization” Metadata:
- Title: Linear optimization
- Author: Glenn H. Hurlbert
- Language: English
- Number of Pages: 272
- Publisher: Springer
- Publish Date: 2010
- Publish Location: New York
“Linear optimization” Subjects and Themes:
- Subjects: ➤ Lineare Optimierung - Mathematical optimization - Linear programming - Simplexes (Mathematics) - Mathematics - Algorithms - Combinatorics - Operations research
Edition Specifications:
- Pagination: xvii, 272 p. :
Edition Identifiers:
- The Open Library ID: OL25000762M - OL16112901W
- Online Computer Library Center (OCLC) ID: 233932335
- Library of Congress Control Number (LCCN): 2009936080
- ISBN-13: 9780387791470 - 9780387791487
- ISBN-10: 0387791477 - 0387791485
- All ISBNs: 0387791477 - 0387791485 - 9780387791470 - 9780387791487
AI-generated Review of “Linear optimization”:
"Linear optimization" Table Of Contents:
- 1- 1. Introduction
- 2- 2. The Simplex Algorithm
- 3- 3. Geometry
- 4- 4. The duality theorem
- 5- 5. Matrix environment
- 6- 6. General form
- 7- 7. Unsolvable systems
- 8- 8. Geometry revisited
- 9- 9. Game theory
- 10- Network environment
- 11- 11. Combinatorics
- 12- 12. Economics
- 13- 13. Integer optimization
- 14- A. Linear algebra review
- 15- B. Equivalence of auxiliary and shortcut methods
- 16- C. Complexity
- 17- D. Software.
"Linear optimization" Description:
The Open Library:
This undergraduate textbook is written for a junior/senior level course on linear optimization. Unlike other texts, the treatment allows the use of the "modified Moore method" approach by working examples and proof opportunities into the text in order to encourage students to develop some of the content through their own experiments and arguments while reading the text. Additionally, the focus is on the mathematics underlying the ideas of optimizing linear functions under linear constraints and the algorithms used to solve them. In particular, the author uses the Simplex Algorithm to motivate these concepts. The text progresses at a gentle and inviting pace. The presentation is driven by numerous examples and illustrations. Ample exercises are provided at the end of each chapter for mastering the material. Opportunities for integrating Maple (or similar) software are included in the book. The author’s own WebSim software can be freely downloaded from his website for pedagogical use. The teacher's version of the text contains solutions embedded within the text, rather than in an appendix. It also has extra material and suggestions for the teacher’s benefit. Junior/senior level undergraduate students will benefit from the book, as will beginning graduate students. Future secondary school mathematics teachers will also find this book useful. Arizona State University Professor Glenn H. Hurlbert has published nearly 50 articles in graph theory, combinatorics, and optimization, and has been the recipient of numerous teaching and mentoring awards from ASU, the ASU Parents Association, the School of Mathematical and Statistical Sciences, and the Mathematical Association of America.
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