|
Mondays and Thursdays, 14.00 - 16.00
c.t.
|
|
Six sessions, starting November 20th
|
|
at the MPI (Building 46), Room 023 |
Introduction:
The maximum
weight stable set problem
can, on a perfect graph, be solved in polynomial time. This class
of graphs contains, among others, bipartite graphs, comparability
graphs, chordal graphs, Meyniel graphs and many others. Recently,
Chudnovsky, Robertson, Seymour and Thoms proved the famous perfect
graph
conjecture:
"A graph is perfect if and only if it
contains no odd hole and
no odd antihole"
The proof of this
theorem and its pre-proof work are
impressive examples of how deep the field of Combinatorial
Optimization has grown. We will NOT cover the proof in this course.
Instead, we will start to dig into this beautiful theory. The course
follows closely chapters 64-66 of the book Combinatorial Optimization, Polyhedra and
Efficiency by Alexander Schrijver.
Topics:
|
Colouring and Cliques, Complexity
|
|
Basics of Polyhedral Theory
|
|
The (weak) perfect graph theorem
|
|
Examples of perfect graphs
|
|
The Lovasz theta function
|
|
Solving the maximum stable set
problem for perfect graphs
|