Home

Topology and Data Analysis

Time

Sep 28 2009 - 4:30pm - 5:30 pm

Location

CH 240

Speaker

Dan Burghelea (OSU)

Abstract

In these days both engineering and experimental sciences collect and store an enormous amount of data whose magnitude makes more and more difficult to reveal the qualitative (and even some quantitative) features. Topology and geometry seems to provide help.

I will explain:

  • Why and how Data Analysis might benefit from topology .
  • What sort new concepts and new invariants in topology were inspired by data Analysis.

The concept of "persistence" will be the key illustration.

Notes

This lecture is part of Invitation to Mathematics.
Pre-candidacy students can sign up for this lecture series by registering for one credit hour of Math 693, Call # 27103 (with Prof H. Moscovici).
calendar | printer friendly version
Last updated by kerler.2 on 09/23/09