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Titlebook: Combinatorial Pattern Matching; 23rd Annual Symposiu Juha Kärkkäinen,Jens Stoye Conference proceedings 2012 Springer-Verlag Berlin Heidelbe

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Smart Control of Turbulent Combustion.Joint work with Igor Ulitsky, Ofer Lavi, Yaron Orenstein, Richard M. Karp, Gideon Dror, Akshay Krishnamurthy, Michal Ozery-Flato, Chaim Linhart, Luba Trakhtenbrot, Shai Izraeli, Annelyse Thevenin and Liat Ein-Dor.
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Challenge Framing and Causal Analysis,it leaves a small chance for false positives, i.e., Parikh vectors might be reported which are not actually present in the string. No false negative is possible. However, we can tune the parameters of the algorithm so that we can strictly control such a chance of error while still guaranteeing strong sub-quadratic running time.
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Pattern Matching in Multiple Streams of space. In all three cases we also give space lower bounds which show our methods are optimal up to a single logarithmic factor. Finally we set out a number of open problems related to this new model for pattern matching.
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Faster and Simpler Minimal Conflicting Set Identificationroving the current .(.... (. + .). log(. + .)) fastest algorithm of [Blin ., CSR 2011]. The new algorithm is based on an alternative approach considering minimal forbidden induced subgraphs of interval graphs instead of Tucker matrices.
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Partitioning into Colorful Components by Minimum Edge Deletions We also perform experiments with our algorithms and additionally develop an efficient and very accurate heuristic algorithm clearly outperforming a previous min-cut-based heuristic on multiple sequence alignment data.
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