Introduction to mathematical optimization

By: Fischetti, Matteo
Material type: TextTextPublisher: Monee Independently published 2019Description: viii, 220 p.: ill. Includes bibliographical referencesISBN: 9781692792022Subject(s): Mathematical optimization | Linear programming | Graph theoryDDC classification: 519.6 Summary: This book is intended to be a teaching aid for students of the courses in Operations Research and Mathematical Optimization for scientific faculties. Some of the basic topics of Operations Research and Optimization are considered: Linear Programming, Integer Linear Programming, Computational Complexity, and Graph Theory. Particular emphasis is given to Integer Linear Programming, with an exposition of the most recent resolution techniques, and in particular of the branch-and-cut method. The work is accompanied by numerous examples and exercises.
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Slot 1680 (2 Floor, East Wing) Non-fiction 519.6 F4I6 (Browse shelf) Available 203091

Table of content

1 Mathematical Programming
2 Linear (Integer) Programming Models
3 Advanced Models
4 Simplex Algorithm
5 Duality in Linear Programming
6 Integer Linear Programming
7 Graph Theory
8 Some NP-hard Problems
9 Exercises

This book is intended to be a teaching aid for students of the courses in Operations Research and Mathematical Optimization for scientific faculties. Some of the basic topics of Operations Research and Optimization are considered: Linear Programming, Integer Linear Programming, Computational Complexity, and Graph Theory. Particular emphasis is given to Integer Linear Programming, with an exposition of the most recent resolution techniques, and in particular of the branch-and-cut method. The work is accompanied by numerous examples and exercises.

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