Radu Curticapean
Saarland University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Radu Curticapean.
foundations of computer science | 2014
Radu Curticapean; Dániel Marx
For a class C of graphs, #Sub(C) is the counting problem that, given a graph H from C and an arbitrary graph G, asks for the number of subgraphs of G isomorphic to H. It is known that if C has bounded vertex-cover number (equivalently, the size of the maximum matching in C is bounded), then #Sub(C) is polynomial-time solvable. We complement this result with a corresponding lower bound: if C is any recursively enumerable class of graphs with unbounded vertexcover number, then #Sub(C) is #W[1]-hard parameterized by the size of H and hence not polynomial-time solvable and not even fixed-parameter tractable, unless FPT is equal to #W[1]. As a first step of the proof, we show that counting kmatchings in bipartite graphs is #W[1]-hard. Recently, Curticapean [ICALP 2013] proved the #W[1]-hardness of counting k-matchings in general graphs; our result strengthens this statement to bipartite graphs with a considerably simpler proof and even shows that, assuming the Exponential Time Hypothesis (ETH), there is no f(k)*n^o(k/log(k)) time algorithm for counting k-matchings in bipartite graphs for any computable function f. As a consequence, we obtain an independent and somewhat simpler proof of the classical result of Flum and Grohe [SICOMP 2004] stating that counting paths of length k is #W[1]-hard, as well as a similar almost-tight ETH-based lower bound on the exponent.
international colloquium on automata languages and programming | 2013
Radu Curticapean
We prove
symposium on the theory of computing | 2017
Radu Curticapean; Holger Dell; Dániel Marx
\sharp
international symposium on parameterized and exact computation | 2012
Markus Bläser; Radu Curticapean
W[1]-hardness of the following parameterized counting problem: Given a simple undirected graph G and a parameter k∈ℕ, compute the number of matchings of size k in G. It is known from [1] that, given an edge-weighted graph G, computing a particular weighted sum over the matchings in G is
international colloquium on automata, languages and programming | 2015
Radu Curticapean
\sharp
foundations of computer science | 2015
Radu Curticapean; Mingji Xia
W[1]-hard. In the present paper, we exhibit a reduction that does not require weights. This solves an open problem from [5] and adds a natural parameterized counting problem to the scarce list of
Discrete and Computational Geometry | 2015
Victor Alvarez; Karl Bringmann; Radu Curticapean; Saurabh Ray
\sharp
mathematical foundations of computer science | 2011
Markus Bläser; Radu Curticapean
W[1]-hard problems. Since the classical version of this problem is well-studied, we believe that our result facilitates future
international symposium on parameterized and exact computation | 2018
Radu Curticapean; Holger Dell; Fedor V. Fomin; Leslie Ann Goldberg; John Lapinskas
\sharp
symposium on theoretical aspects of computer science | 2017
Radu Curticapean; Holger Dell; Marc Roth
W[1]-hardness proofs for other problems.