Heuristics: intelligent search strategies for computer problem solving
Heuristics: intelligent search strategies for computer problem solving
Covering edges by cliques with regard to keyword conflicts and intersection graphs
Communications of the ACM
Computers and Intractability; A Guide to the Theory of NP-Completeness
Computers and Intractability; A Guide to the Theory of NP-Completeness
NP-Completeness: A Retrospective
ICALP '97 Proceedings of the 24th International Colloquium on Automata, Languages and Programming
How to Solve It: Modern Heuristics
How to Solve It: Modern Heuristics
Editorial: Special Issue on Statistical Algorithms and Software
Computational Statistics & Data Analysis
Data reduction and exact algorithms for clique cover
Journal of Experimental Algorithmics (JEA)
Assignment-minimum clique coverings
Journal of Experimental Algorithmics (JEA)
Clique cover and graph separation: new incompressibility results
ICALP'12 Proceedings of the 39th international colloquium conference on Automata, Languages, and Programming - Volume Part I
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Multiple pairwise comparisons are one of the most frequent tasks in applied statistics. In this context, letter displays may be used for a compact presentation of results of multiple comparisons. A heuristic previously proposed for this task is compared with two new algorithmic approaches. The latter rely on the equivalence of computing compact letter displays to computing clique covers in graphs, a problem that is well-studied in theoretical computer science. A thorough discussion of the three approaches aims to give a comparison of the algorithms' advantages and disadvantages. The three algorithms are compared in a series of experiments on simulated and real data, e.g., using data from wheat and triticale yield trials.