Graduiertenkolleg: Methods for Discrete Structures

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Monday Lecture and Colloquium


Monday, May 23, 2015

Freie Universität Berlin
Takustr. 9
14195 Berlin
room 005



Lecture - 14:15

Friedrich Eisenbrand - EPFL Lausanne

Max-sum diversity via convex programming

Abstract:
Diversity maximization is an important concept in information retrieval, computational geometry and operations research. Usually, it is a variant of the following problem: Given a ground set, constraints, and a function $f(\cdot)$ that measures diversity of a subset, the task is to select a feasible subset $S$ such that $f(S)$ is maximized. The \emph{sum-dispersion} function $f(S) = \sum_{x,y \in S} d(x,y)$, which is the sum of the pairwise distances in $S$, is in this context a prominent diversification measure. The corresponding diversity maximization is the \emph{max-sum} or \emph{sum-sum diversification}. Many recent results deal with the design of constant-factor approximation algorithms of diversification problems involving sum-dispersion function under a matroid constraint. In this paper, we present a PTAS for the max-sum diversification problem under a matroid constraint for distances $d(\cdot,\cdot)$ of \emph{negative type}. Distances of negative type are, for example, metric distances stemming from the $\ell_2$ and $\ell_1$ norm, as well as the cosine or spherical, or Jacquard distance which are popular similarity metrics in web and image search.

Joint work with A. Cevallos and R. Zenklusen




Colloquium - 16:00

Bartosz Walczak - Jagiellonian University in Kraków

Coloring geometric intersection graphs and related problems

Abstract:
Colorings of graphs represented by geometric objects have been studied since the 1960s for purely aesthetic as well as practical reasons. In particular, geometric representations provide natural examples of classes of graphs that are X-bounded (near-perfect), which means that their chromatic number is bounded by a function of their clique number. It was conjectured for many years that all classes of geometric intersection graphs in the plane are X-bounded. However, in 2012, Pawlik et al. disproved this conjecture presenting a construction of triangle-free segment intersection graphs with arbitrarily large chromatic number. This result stimulated further research aimed at understanding how the chromatic number of geometric intersection graphs behaves under the assumption that the clique number is bounded.

After introducing basic problems and results on colorings of geometric intersection graphs, I will briefly discuss methods applied to obtain lower and upper bounds on their chromatic number, and connections to other combinatorial problems of not necessarily geometric nature. I will also report on a very recent result, joint with Alexandre Rok (Ben-Gurion University of the Negev): the class of intersection graphs of curves in the plane each crossing a fixed line at least once and at most t times is X-bounded, for every t.



Letzte Aktualisierung: 17.05.2016