Department of Computer Science | Institute of Theoretical Computer Science | CADMO

Theory of Combinatorial Algorithms

Prof. Emo Welzl and Prof. Bernd Gärtner

Mittagsseminar (in cooperation with M. Ghaffari, A. Steger and B. Sudakov)

Mittagsseminar Talk Information

Date and Time: Tuesday, September 23, 2003, 12:15 pm

Duration: This information is not available in the database

Location: This information is not available in the database

Speaker: Vinayak Pandit (IBM India)

Local Search Heuristics for k-median, and facility location problems

The local search heuristics are very popular among practitioners in the area of operations research, pattern recognitions, and related areas. Some of the famous problems for which local search is a method of choice include travelling salesman problem, k-median problem, and k-means clustering. Unfortunately, most local search heuristics are not easy to analyse, and prove properties about optimality, or worst case analysis. In this talk, we present an analysis of the local search heuristics for the k-median problem.

Significantly, this analysis yields the best known approximation ratio for k-median problem. In my talk, I will consider a simple local search heuristic for the k-median problem, and prove that its local optimal is at most 5 times more than the global optimal. Our analysis also works for facility location problems.

Upcoming talks     |     All previous talks     |     Talks by speaker     |     Upcoming talks in iCal format (beta version!)

Previous talks by year:   2018  2017  2016  2015  2014  2013  2012  2011  2010  2009  2008  2007  2006  2005  2004  2003  2002  2001  2000  1999  1998  1997  1996  

Information for students and suggested topics for student talks

Automatic MiSe System Software Version 1.4803M   |   admin login