Searching for authors named "Thomas Hofmeister" – sorted by Relevance.
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Approximating Maximum Independent Sets in Uniform Hypergraphs
- We consider the problem of approximating the independence number and the chromatic number of k-uniform hypergraphs on n vertices. For fixed integers k 2, we obtain for both problems that one can achieve in polynomial time approximation ratios of at most O(n=(log (k\Gamma1) n) 2 ). This exte
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A Comparison of Approximation Algorithms for the MaxCut-Problem
- In this paper we compare, from a practical point of view, approximation algorithms for the problem MaxCut. For this problem, we are given an undirected graph G = (V, E) with vertex set V and edge set E, and we are looking for a partition V = V1 [ V2 with V1 \ V2 = � of the vertex set which maximize
- Cited by 3 (0 self) – Add To MetaCart
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An algorithm for Heilbronn's problem
- Abstract Heilbronn conjectured that given arbitrary n points from R 2,located in the unit square (or circle), there must be three points which form a triangle of area at most O(1=n 2). This conjecture was proved false by a nonconstructive argument of Komlos, Pintz and Szemeredi [KPS] who showed that
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Sparse 0-1-Matrices and Forbidden Hypergraphs
- We consider the problem of determining the maximal number N (m; k; r) of columns of a 01 -matrix with m rows and exactly r ones in each column such that every k columns are linearly independent over Z 2 . For fixed integers k 4 and r 2 where k is even and gcd(k\Gamma1; r) = 1, we shall prove the p
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A Geometric Framework for Solving Subsequence Problems in Computational Biology Efficiently
- In this paper, we introduce the notion of a constrained Minkowski sum which for two (finite) point-sets P,Q ⊆ R 2 and a set of k inequalities Ax � b is defined as the pointset (P ⊕ Q)Ax�b = {x = p+ q | p ∈ P, q ∈ Q, Ax � b}. We show that typical subsequence problems from computational biology can be
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A probabilistic 3{SAT algorithm further improved
- In [Sch99], Schoning proposed a simple yet ecient randomized algorithm for solving the k- SAT problem. In the case of 3-SAT, the algorithm has an expected running time of poly(n) (4=3) O(1:3334 ) when given a formula F on n variables. This was the up to now best running time known for an alg
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26. Workshop uber Komplexitätstheorie, Datenstrukturen und effiziente Algorithmen, TU-Berlin
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6= 1UL 18.05 Ende Universal hashing and k-wise independent random variables via integer arithmetic without primes Martin Dietzfelbinger Fachbereich Informatik, Universitat Dortmund, Germany email: dietzf@ls2.informatik.uni-dortmund.de Let u; m 1 be arbitrary integers and let r um be a - Add To MetaCart

