Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Ewald Speckenmeyer is active.

Publication


Featured researches published by Ewald Speckenmeyer.


Acta Informatica | 1985

Ramsey numbers and an approximation algorithm for the vertex cover problem

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

A fast parallel SAT-solver - efficient workload balancing

Max Böhm; Ewald Speckenmeyer


Discrete Applied Mathematics | 2002

On enumerating all minimal solutions of feedback problems

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

On Feedback Problems in Diagraphs

Ewald Speckenmeyer


Journal of Graph Theory | 1988

On feedback vertex sets and nonseparating independent sets in cubic graphs

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

Superlinear Speedup for Parallel Backtracking

Ewald Speckenmeyer; Burkhard Monien; Oliver Vornberger


Electronic Notes in Discrete Mathematics | 2001

A Satisfiability Formulation of Problems on Level Graphs

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

Linear CNF formulas and satisfiability

Stefan Porschen; Ewald Speckenmeyer; Xishun Zhao


Discrete Applied Mathematics | 1999

An algorithm for the class of pure implicational formulas

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

On linear CNF formulas

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).

Collaboration


Dive into the Ewald Speckenmeyer's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Oliver Ullrich

Florida International University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Max Böhm

University of Düsseldorf

View shared research outputs
Top Co-Authors

Avatar

John V. Franco

University of Cincinnati

View shared research outputs
Top Co-Authors

Avatar

Naphtali Rishe

Florida International University

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge