MPI-INF Logo
Campus Event Calendar

Event Entry

What and Who

Approximating APSP without Scaling

Karl Bringmann
Max-Planck-Institut für Informatik - D1
AG1 Mittagsseminar (own work)
AG 1, MMCI  
AG Audience
English

Date, Time and Location

Tuesday, 16 April 2019
13:00
30 Minutes
E1 4
024
Saarbrücken

Abstract

Zwick's (1+eps)-approximation algorithm for the All Pairs Shortest Path problem runs in time O(n^omega / eps * log W), where omega <= 2.373 is the exponent of matrix multiplication and W denotes the largest weight. This can be used to approximate several graph characteristics including the diameter, radius, median, minimum-weight triangle, and minimum-weight cycle in the same time bound.


We study whether the factor log W can be avoided, that is, whether APSP and related problems admit "strongly polynomial" approximation schemes, whose running time is independent of W. For APSP on undirected graph as well as for several graph characteristics on directed or undirected graphs we remove the log W-factor from Zwick's running time. For APSP on directed graphs, we design a strongly polynomial approximation scheme in time O(n^{(omega + 3)/2} / eps). We also explain why this has a worse exponent than omega: Any improvement over our exponent (omega + 3)/2 would improve the best known algorithm for MinMaxProduct. In fact, we prove that approximating directed APSP and exactly computing the MinMaxProduct are equivalent.

Joint work with Marvin Künnemann and Karol Wegrzycki.

Contact

Karl Bringmann
--email hidden
passcode not visible
logged in users only

Karl Bringmann, 04/15/2019 18:39 -- Created document.