Download Algorithmic Aspects in Information and Management: 11th by Riccardo Dondi, Guillaume Fertin, Giancarlo Mauri PDF

By Riccardo Dondi, Guillaume Fertin, Giancarlo Mauri

This quantity constitutes the court cases of the eleventh foreign convention on Algorithmic facets in details and administration, AAIM 2016, held in Bergamo, Italy, in July 2016.

The 18 revised complete papers awarded have been conscientiously reviewed and chosen from forty-one submissions. The papers care for present traits of study on algorithms, facts buildings, operation examine, combinatorial optimization and their applications.

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Example text

The same occurs when M = {1, 2} since this is reducible to finding the minimum cost matching of given cardinality in a weighted graph, which is known to be solvable in polynomial time (see for instance [20, Sect. 1]). Hence, a natural problem is to determine the sets M for which the M-RSC-2 problem is NP-hard. Finally, we conjecture that {2, 3}-RSC-2 remains NP-hard also in case of 1 -norm, by a suitable extension of the proof above. Acknowledgments. We thank an anonymous referee for his/her useful comments on other problems related to clustering with relaxed size constraints.

Integer programming and the theory of grouping. J. Am. Stat. Assoc. 64(326), 506–519 (1969) 25. : Clustering with instance-level constraints. In: Proceedings of the 17th International Conference on Machine Learning, pp. 1103–1110 (2000) 26. : Data clustering with size constraints. Knowl. Based Syst. com Abstract. With the increasing impact of genomics in life sciences, the inference of high quality, reliable, and complete genome sequences is becoming critical. Genome assembly remains a major bottleneck in bioinformatics: indeed, high throughput sequencing apparatus yield millions of short sequencing reads that need to be merged based on their overlaps.

This perspective is different from the one we propose here. Formally, the question of assembling strings is modelled as the Shortest Common Superstring, also termed the Shortest Linear Superstring. It requires finding a single superstring containing the input words as substrings. This well-studied problem is known to be NP-hard [7] and APX-hard [12]. Many approximation algorithms have been proposed, which solve a relaxed problem known as the Shortest Cyclic Cover of Strings (SCCS) – see Sect. 2 for a definition of a cyclic cover.

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