Previous Conferences & Workshops

Feb
01
2005

Computer Science/Discrete Mathematics Seminar II

Geometric symmetrizations in high dimension
10:30am|S-101

A classical method for proving geometric inequalities in which the Euclidean ball is the extremal case, is that of symmetrization. The idea is basically to perform a simple operation on a given convex body in n-dimensional space, which makes it more...

Jan
31
2005

Members’ Seminar

Approximation algorithms and Grothendieck type inequalities
4:00pm|S-101

I will describe a connection between a classical inequality of Grothendieck and approximation algorithms based on semi-definite programming. The investigation of this connection suggests the definition of a new graph parameter, called the...

Jan
31
2005

Computer Science/Discrete Mathematics Seminar I

Extremal graphs, recursive functions and a separation theorem in property testing
Asaf Shapira
11:15am|S-10

A graph property P is said to be uniformly-testable if there is a property-tester for P that receives the error parameter \epsilon as part of the input, and whose query complexity is a function of \epsilon only. P is said to be non-uniformly...

Jan
27
2005

Algebraic Groups and Convexity Seminar

Equivariant localization and quot schemes
8:00pm|S-101

Equivariant localization provides a powerful method for explicitly computing equivariant and ordinary cohomology rings of spaces with large symmetry groups. One of the most useful localization formulas, due to Goresky-Kottwitz-MacPherson, describes...

Jan
25
2005

Computer Science/Discrete Mathematics Seminar II

The Tic-Tac-Toe Theory
Jozsef Beck
10:30am|S-101

I want to show proofs for two things: (1) what kind of complicated structures can a player build in a "generalized Tic-Tac-Toe game", and (2) how to get the "exact solutions" of infinitely many games. I'll try to illustrate the ideas on simple...

Jan
24
2005

Computer Science/Discrete Mathematics Seminar I

Shorter and Simpler PCPs
Madhu Sudan
11:15am|S-101

We present new PCPs for NP-complete languages. The PCPs are only n poly log n bits long, when proving satisfiability of formulae of length n. However, the probabilistic verifier needs to query poly log n bits of the proof to verify it. In contrast...