CS 684 Spring 2012
Graph Algorithms
This is an advanced course in the design and analysis of efficient algorithms. The emphasis is on algorithms for standard graph problems, such as minimum spanning trees, shortest paths, network flow, and maximum matching. We will also study advanced data structures, which are crucial for the more advanced topics. Randomized algorithms will also be discussed.
Prerequisites:
CS 583. Please contact with the instructor if you are not sure.
Combinatorial Optimization, Theory and Algorithms by Bernhard Korte and Jen Vygen, Springer, 4th Edition (2008). (GMU's libraries have online versions of this book.)
Networks, Crowds, and Markets: Reasoning about a Highly Connected World by David Easley and Jon Kleinberg, Cambridge University Press, (2010).
Introduction to Graph Theory by Douglas B. West, 2nd Edition (2000). The 3rd Edition is coming. You may want to wait for the 3rd Edition.
More General Reference Books:
Combinatorial Optimization: Algorithms and Complexity by C. H. Papadimitriou and K. Steiglitz, Englewood Cliffs, Prentice Hall, c1982, Reprinted by Dover Books, (1998).
Algorithm Design by Jon Kleinberg and Eva Tardos, Pearson Education, Inc. (2006). (You can find the sample chapters on the webpage.)
Introduction to Algorithms by T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein, The McGrawHill Companies, 2nd Edition (2001).
Some handouts.
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Lecture
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01/23/2012

Tentative Grading:
Midterm Exam (30%)
Final Exam (30%)
Assignments (40%)
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