Understanding and using linear programming
Material type: TextPublication details: New York Springer 2007Description: viii, 222pISBN:- 9783540306979 (pbk)
- 519.72 MAT
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | Plaksha University Library | Mathematics | 519.72 MAT (Browse shelf(Opens below)) | Available | 004643 | ||
Book | Plaksha University Library | Mathematics | 519.72 MAT (Browse shelf(Opens below)) | Available | 004644 | ||
Book | Plaksha University Library | Mathematics | 519.72 MAT (Browse shelf(Opens below)) | Available | 004645 | ||
Book | Plaksha University Library | Mathematics | 519.72 MAT (Browse shelf(Opens below)) | Available | 004646 |
Browsing Plaksha University Library shelves, Collection: Mathematics Close shelf browser (Hides shelf browser)
519.703 POW Approximate dynamic programming : solving the curses of dimensionality | 519.72 BER Introduction to linear optimization | 519.72 MAT Understanding and using linear programming | 519.72 MAT Understanding and using linear programming | 519.72 MAT Understanding and using linear programming | 519.72 MAT Understanding and using linear programming | 519.8 KLE Queueing systems, Volume 1: theory |
https://link.springer.com/book/10.1007/978-3-540-30717-4#about-this-book
This is an introductory textbook of linear programming, written mainly for students of computer science and mathematics. Our guiding phrase is, "what every theoretical computer scientist should know about linear programming". The book is relatively concise, in order to allow the reader to focus on the basic ideas. For a number of topics commonly appearing in thicker books on the subject, we were seriously tempted to add them to the main text, but we decided to present them only very brie?y in a separate glossary. At the same time, we aim at covering the main results with complete proofs and in su?cient detail, in a way ready for presentation in class. One of the main focuses is applications of linear programming, both in practice and in theory. Linear programming has become an extremely ?- ible tool in theoretical computer science and in mathematics. While many of the ?nest modern applications are much too complicated to be included in an introductory text, we hope to communicate some of the ?avor (and excitement) of such applications on simpler examples.
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