activity
20142019
most citedWhy walking the dog takes time: Frechet distance has no strongly subquadratic algorithms unless SETH fails

29 citations · 40 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CG2019

Walking the Dog Fast in Practice: Algorithm Engineering of the Fréchet Distance

Karl Bringmann, Marvin Künnemann, André Nusser

The Fréchet distance provides a natural and intuitive measure for the popular task of computing the similarity of two (polygonal) curves. While a simple algorithm computes it in ne…

cs.SI20165 cited

Greedy Routing and the Algorithmic Small-World Phenomenom

Karl Bringmann, Ralph Keusch, Johannes Lengler +2

The algorithmic small-world phenomenon, empirically established by Milgram's letter forwarding experiments from the 60s, was theoretically explained by Kleinberg in 2000. However,…

cs.DS20164 cited

A Dichotomy for Regular Expression Membership Testing

Karl Bringmann, Allan Grønlund, Kasper Green Larsen

We study regular expression membership testing: Given a regular expression of size and a string of size , decide whether the string is in the language described by the regul…

cs.DS20161 cited

A Near-Linear Pseudopolynomial Time Algorithm for Subset Sum

Karl Bringmann

Given a set of positive integers and a target value , the Subset Sum problem asks whether any subset of sums to . A textbook pseudopolynomial time algorithm by Be…

cs.DS20141 cited

Parameterized Complexity Dichotomy for Steiner Multicut

Karl Bringmann, Danny Hermelin, Matthias Mnich +1

The Steiner Multicut problem asks, given an undirected graph G, terminals sets T1,...,Tt V(G) of size at most p, and an integer k, whether there is a set S of at most k…

cs.CG201429 cited

Why walking the dog takes time: Frechet distance has no strongly subquadratic algorithms unless SETH fails

Karl Bringmann

The Frechet distance is a well-studied and very popular measure of similarity of two curves. Many variants and extensions have been studied since Alt and Godau introduced this meas…