| Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| E-Books | Biblioteca da FCTUNL Online | Não Ficção | T57.74.SPR FCT 95169 (Browse shelf) | 1 | Available |
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| T57.74.SPR FCT 94391 Stochastic linear programming | T57.74.SPR FCT 94645 Linear optimization problems with inexact data | T57.74.SPR FCT 94769 Optimization theory and methods | T57.74.SPR FCT 95169 Understanding and using linear programming | T57.74.SPR FCT 95764 Linear and nonlinear programming | T57.79.SPR FCT 81311 Introduction to stochastic programming | T57.79.SPR FCT 82803 Stability, approximation, and decomposition in two- and multistage stochastic programming |
Colocação: Online
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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