Extreme witnesses and their applications

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Abstract

We study the problem of computing the so called minimum and maximum witnesses for Boolean vector convolution. We also consider a generalization of the problem which is to determine for each positive coordinate of the convolution vector, q smallest (or, largest) witnesses, where q is the minimum of a parameter k and the number of witnesses for this coordinate. We term this problem the smallest k-witness problem or the largest k-witness problem, respectively. We also study the corresponding smallest and largest k-witness problems for Boolean matrix product. In both cases, we provide algorithmic solutions and applications to the aforementioned witness problems, among other things in string matching and computing the (min,+) vector convolution.

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Lingas, A., & Persson, M. (2015). Extreme witnesses and their applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9486, pp. 452–466). Springer Verlag. https://doi.org/10.1007/978-3-319-26626-8_33

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