Deterministic Operations Research
models and methods in linear optimization
$382.92
- Hardcover
632 pages
- Release Date
8 July 2010
Summary
Mastering Deterministic Operations Research: A Practical Guide to Modeling and Algorithm Design
Optimization modeling and algorithms are key components to problem-solving across various fields of research, from operations research and mathematics to computer science and engineering. Addressing the importance of the algorithm design process, Deterministic Operations Research focuses on the design of solution methods for both continuous and discrete linear optimization proble…
Book Details
| ISBN-13: | 9780470484517 |
|---|---|
| ISBN-10: | 0470484519 |
| Author: | David J. Rader |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Hardcover |
| Number of Pages: | 632 |
| Edition: | 1st |
| Release Date: | 8 July 2010 |
| Weight: | 1.07kg |
| Dimensions: | 239mm x 165mm x 38mm |
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What They're Saying
Critics Review
“Dr. Phillips has used other texts, but he is especially enthused with this book, influenced by student feedback. He says, “Algorithmic ideas are introduced at a pace that emphasizes and encourages intuitive understanding.” (Informs Journal on Computing, 1 June 2012)
“The book is aimed at serving upper-undergraduate and graduate students of all fields as a comprehensive textbook or as a reference for studies on the subject.” (Zentralblatt MATH, 2011)
“The result is a clear-cut resource for understanding three cornerstones of deterministic operations research: modeling real-world problems as linear optimization problems; designing the necessary algorithms to solve these problems; and using mathematical theory to justify algorithmic development.” (InfoTECH Spotlight - TMCnet, 8 February 2011)
About The Author
David J. Rader
David J. Rader Jr., PhD, is Associate Professor of Mathematics at Rose-Hulman Institute of Technology, where he is also the editor of the Rose-Hulman Institute of Technology Undergraduate Mathematics Journal. Dr. Rader currently focuses his research in the areas of nonlinear 0-1 optimization, computational integer programming, and exam time timetabling.
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