2004-2005 seminars

Apr
19
2005

Computer Science/Discrete Mathematics Seminar II

Additive Approximation for Edge-Deletion Problems
10:30am|S-101

I will sketch a proof that for any monotone graph property P and any $\epsilon >0$ one can approximate efficiently the minimum number of edges that have to be deleted from an n-vertex input graph to get a graph that satisfies P, up to an additive...

Apr
18
2005

Computer Science/Discrete Mathematics Seminar I

Towards Strong Inapproximability Results in the Lovasz-Schrijver Hierarchy
Iannis Tourlakis
11:15am|S-101

Lovasz and Schrijver described a generic method of tightening the LP and SDP relaxation for any 0-1 optimization problem. These tightened relaxations were the basis of several celebrated approximation algorithms (such as for MAX-CUT, MAX-3SAT, and...

Apr
13
2005

Special Computer Science/Discrete Mathematics Seminar III

Linear-Degree Extractors and the NP-Completeness of Approximating Clique and Chromatic Number
11:15am|S-101

A randomness extractor is an algorithm which extracts randomness from a low-quality random source, using some additional truly random bits. Extractors have proved useful in a variety of seemingly unrelated areas. We construct new extractors which...

Apr
12
2005

Computer Science/Discrete Mathematics Seminar II

Cuts, Quadratic Programs and in Between
Muli Safra
10:30am|S-101

We study the following problem regarding quadratic programs: Given a quadratic polynomial \sum a_{xy} xy, where all a_{xx} = 0, find a -1,+1 assignment to its variables that maximizes it. This problem recently attracted attention due to its...

Apr
11
2005

Computer Science/Discrete Mathematics Seminar I

Aggregating Inconsistent Information: Ranking and Custering
11:15am|S-101

A ranking of n web pages is to be chosen from outputs of k search engines. How do we choose one ranking minimizing the "disagreement" with the k rankings? A clustering of n genes is to be chosen from outputs of k clustering algorithms. How do we...

Apr
05
2005

Computer Science/Discrete Mathematics Seminar II

Even Hole Free Graphs
10:30am|S-101

A graph is called {\em even-hole-free} if no induced subgraph of it is a cycle with an even number of vertices. A vertex of a graph is {\em bisimplicial} if the vertex set of its neighborhood can be partitioned into two cliques. Bruce Reed...

Apr
04
2005

Computer Science/Discrete Mathematics Seminar I

Conflict-Free Colorings
Shakhar Smorodinsky
11:15am|S-101

Given a hypergraph H=(V,E), its conflict-free chromatic number (CF-chromatic number) is the minimum number of colors needed to color the vertex set V such that, for every hyperedge S, there is at least one element v \in S whose color is unique (in S...

Mar
29
2005

Computer Science/Discrete Mathematics Seminar II

Controlled Linear Programming and Linear Complementarity for Some Infinite Games in NP $\cap$ coNP
Sergei Vorobyov
10:30am|S-101

We present the Controlled Linear Programming Problem (CLPP), a new combinatorial optimization problem nicely merging linear programming with games. In a system of linear monotone constraints of the form $x_i\leq p_i^j(\bar x)+w_i^j$, where $p_i^j$...

Mar
28
2005

Computer Science/Discrete Mathematics Seminar I

Max Cut - A Combinatorial Perspective
Benny Sudakov
11:15am|S-101

The well-known Max Cut problem asks for the largest bipartite subgraph of a graph G. This problem has been the subject of extensive research, both from the algorithmic perspective in computer science and the extremal perspective in combinatorics...

Mar
22
2005

Computer Science/Discrete Mathematics Seminar III

Information Theory and Probability Estimation
Alon Orlitsky
11:30am|S-101

Standard information-theoretic results show that data over small, typically binary, alphabets can be compressed to Shannon's entropy limit. Yet most practical sources, such as text, audio, or video, have essentially infinite support. Compressing...