Ewald Speckenmeyer
University of Cologne
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Featured researches published by Ewald Speckenmeyer.
Acta Informatica | 1985
Burkhard Monien; Ewald Speckenmeyer
SummaryWe show two results. First we derive an upper bound for the special Ramsey numbers rk(q) where rk(q) is the largest number of nodes a graph without odd cycles of length bounded by 2k+1 and without an independent set of size q+1 can have. We prove
Annals of Mathematics and Artificial Intelligence | 1996
Max Böhm; Ewald Speckenmeyer
Discrete Applied Mathematics | 2002
Benno Schwikowski; Ewald Speckenmeyer
r_k (q) \leqq \frac{k}{{k + {\text{1}}}}q^{\frac{{k + {\text{1}}}}{k}} + \frac{{k + {\text{2}}}}{{k + {\text{1}}}}q
workshop on graph theoretic concepts in computer science | 1989
Ewald Speckenmeyer
Journal of Graph Theory | 1988
Ewald Speckenmeyer
The proof is constructive and yields an algorithm for computing an independent set of that size. Using this algorithm we secondly describe an O(¦V¦·¦E¦) time bounded approximation algorithm for the vertex cover problem, whose worst case ratio is
international conference on supercomputing | 1987
Ewald Speckenmeyer; Burkhard Monien; Oliver Vornberger
Electronic Notes in Discrete Mathematics | 2001
Bert Randerath; Ewald Speckenmeyer; Endre Boros; Peter L. Hammer; Alexander Kogan; Kazuhisa Makino; Bruno Simeone; Ondrej Cepek
\Delta \leqq {\text{2 - }}\frac{{\text{1}}}{{k + {\text{1}}}}
Discrete Applied Mathematics | 2009
Stefan Porschen; Ewald Speckenmeyer; Xishun Zhao
Discrete Applied Mathematics | 1999
John V. Franco; Judy Goldsmith; John S. Schlipf; Ewald Speckenmeyer; Ramjee P. Swaminathan
, for all graphs with at most (2k+3)k(2k+2) nodes (e.g. Δ≦1.8, if ¦V¦≦146000).
theory and applications of satisfiability testing | 2006
Stefan Porschen; Ewald Speckenmeyer; Bert Randerath
We present a fast parallel SAT-solver on a message based MIMD machine. The input formula is dynamically divided into disjoint subformulas. Small subformulas are solved by a fast sequential SAT-solver running on every processor, which is based on the Davis-Putnam procedure with a special heuristic for variable selection. The algorithm uses optimized data structures to modify Boolean formulas. Additionally efficient workload balancing algorithms are used, to achieve a uniform distribution of workload among the processors. We consider the communication network topologiesd-dimensional processor grid and linear processor array. Tests with up to 256 processors have shown very good efficiency-values (>0.95).