
A First Course in Combinatorial Optimization
Jon Lee(Author)
Cambridge University Press
Published on 9. February 2004
Book
Hardback
228 pages
978-0-521-81151-4 (ISBN)
Description
A First Course in Combinatorial Optimization is a text for a one-semester introductory graduate-level course for students of operations research, mathematics, and computer science. It is a self-contained treatment of the subject, requiring only some mathematical maturity. Topics include: linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Central to the exposition is the polyhedral viewpoint, which is the key principle underlying the successful integer-programming approach to combinatorial-optimization problems. Another key unifying topic is matroids. The author does not dwell on data structures and implementation details, preferring to focus on the key mathematical ideas that lead to useful models and algorithms. Problems and exercises are included throughout as well as references for further study.
Reviews / Votes
'The author, with his light but rigorous mathematical writing style, takes delight in revealing the stars of combinatorial optimization. This is an excellent teaching book; I recommend it highly.' International Statistical InstituteMore details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 18 mm
Weight
527 gr
ISBN-13
978-0-521-81151-4 (9780521811514)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
05/2006
1st Edition
Cambridge University Press
€43.99
Available for download
Person
Jon Lee is a passionate outdoorsman with 20 years of guiding experience, helping novices and experts alike thrive in the realm of angling and hunting. From the vast landscapes of Alaska to the picturesque waters of Key West, he's tackled it all: fly fishing and big game archery being his specialties. Based in Michigan, Jon is perpetually on the hunt for the next great adventure, channeling his experiences into captivating short stories that resonate with readers far and wide.
Content
Introduction; Polytopes and linear programming; 1. Matroids and the greedy algorithm; 2. Minimum-weight dipaths; 3. Matroid intersection; 4. Matching; 5. Flows and cuts; 6. Cutting planes; 7. Branch-&-bound; 8. Optimizing submodular functions; Appendix.