Search Results - "ACM Subject Classification F.2.2 Nonnumerical Algorithms and Problems"
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Authors: et al.
Contributors: et al.
Source: Leibniz International Proceedings in Informatics (LIPIcs) ; 25th Annual European Symposium on Algorithms (ESA 2017) ; https://hal.science/hal-01740357 ; 25th Annual European Symposium on Algorithms (ESA 2017), Sep 2017, Vienna, Austria. ⟨10.4230/LIPIcs.ESA.2017.8⟩
Subject Terms: Combinatorial Optimization, Expansion, Hall's Theorem, Local Search, Planar Graphs, ACM Subject Classification F.2.2 Nonnumerical Algorithms and Problems, [SCCO.COMP]Cognitive science/Computer science
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Authors: et al.
Contributors: et al.
Source: Leibniz International Proceedings in Informatics (LIPIcs) ; 25th Annual European Symposium on Algorithms (ESA 2017) ; https://hal.science/hal-01740357 ; 25th Annual European Symposium on Algorithms (ESA 2017), Sep 2017, Vienna, Austria. ⟨10.4230/LIPIcs.ESA.2017.8⟩
Subject Terms: Combinatorial Optimization, Expansion, Hall's Theorem, Local Search, Planar Graphs, ACM Subject Classification F.2.2 Nonnumerical Algorithms and Problems, [SCCO.COMP]Cognitive science/Computer science
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3
Authors: et al.
Contributors: et al.
Source: Leibniz International Proceedings in Informatics (LIPIcs) ; 25th Annual European Symposium on Algorithms (ESA 2017) ; https://hal.science/hal-01740357 ; 25th Annual European Symposium on Algorithms (ESA 2017), Sep 2017, Vienna, Austria. ⟨10.4230/LIPIcs.ESA.2017.8⟩
Subject Terms: Combinatorial Optimization, Expansion, Hall's Theorem, Local Search, Planar Graphs, ACM Subject Classification F.2.2 Nonnumerical Algorithms and Problems, [SCCO.COMP]Cognitive science/Computer science
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4
Authors: et al.
Contributors: et al.
Source: 27th Annual Symposium on Combinatorial Pattern Matching CPM 2016
https://hal.science/hal-03942914
27th Annual Symposium on Combinatorial Pattern Matching CPM 2016, 2016, Warsaw, Poland. ⟨10.4230/LIPIcs.CPM.2016.21⟩Subject Terms: 1998 ACM Subject Classification F.2.2. Nonnumerical Algorithms and Problems phrases Randomised algorithms string similarity measures longest common substring sketching locality-sensitive hashing, string similarity measures, longest common substring, sketching, locality-sensitive hashing, [INFO]Computer Science [cs]
Relation: hal-03942914; https://hal.science/hal-03942914; https://hal.science/hal-03942914/document; https://hal.science/hal-03942914/file/LIPIcs-CPM-2016-21.pdf
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