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Dynamic Graph Algorithms: What We Know and What We Don’t | Richard M. Karp Distinguished Lecture

Computer Science and Mathematics seminar by Monika Henzinger, Institute of Science and Technology Austria (ISTA)

Hosted by Simons Institute for the Theory of Computing, UC Berkeley

Tuesday 15:30 Los Angeles (GMT-7)

Recording available

Berkeley, United States

Recording

1 h 12 min

Abstract

Monika Henzinger surveys algorithms that maintain graph information as vertices and edges change. The lecture explains major algorithmic techniques and open problems, and shows how dynamic data structures support applications such as clustering and recent breakthroughs in static maximum-flow and minimum-cost-flow algorithms.

Topics

graph informationverticesedgesdynamic data structuresclusteringminimum-cost-flow algorithmsalgorithmic techniquesopen problems

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