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handle: 2099/13212
Following the mathematical formalism introduced by M. Schellekens [Elec- tronic Notes in Theoret. Comput. Sci. 1 (1995), 211-232] in order to give a common foundation for Denotational Semantics and Complexity Analysis, we obtain an application of the theory of midpoints for asymmetric distances de ned between fuzzy sets to the complexity analysis of algorithms and pro- grams. In particular we show that the average running time for the algorithm known as Largetwo is exactly a midpoint between the best and the worst case running time of computing
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Intel•ligència artificial, Artificial intelligence, fuzzy set, asymmetric distance, running time of computing, :Informàtica::Informàtica teórica [Àrees temàtiques de la UPC], midpoint, Classificació AMS::68 Computer science::68T Artificial intelligence, complexity analysis, :68 Computer science::68T Artificial intelligence [Classificació AMS], Àrees temàtiques de la UPC::Informàtica::Informàtica teórica
Intel•ligència artificial, Artificial intelligence, fuzzy set, asymmetric distance, running time of computing, :Informàtica::Informàtica teórica [Àrees temàtiques de la UPC], midpoint, Classificació AMS::68 Computer science::68T Artificial intelligence, complexity analysis, :68 Computer science::68T Artificial intelligence [Classificació AMS], Àrees temàtiques de la UPC::Informàtica::Informàtica teórica
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