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EUR 11,73
Da: Regno Unito a: U.S.A.
Descrizione libro Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Codice articolo ria9783639700589_lsuk
Descrizione libro PF. Condizione: New. Codice articolo 6666-IUK-9783639700589
Descrizione libro Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Combinatorial Optimization Problems In Geometric Settings arise in several areas of Network Design such as positioning of cell phone towers or other sensors to provide coverage to the area of interest. These problems can typically be formulated as some version of geometric set cover such as clustering, facility. In a non-geometric setting all these problems would typically be hard to solve. The underlying geometry can at times be exploited, however, to find efficient approximate solutions. 124 pp. Englisch. Codice articolo 9783639700589
Descrizione libro PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9783639700589
Descrizione libro Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Combinatorial Optimization Problems In Geometric Settings arise in several areas of Network Design such as positioning of cell phone towers or other sensors to provide coverage to the area of interest. These problems can typically be formulated as some version of geometric set cover such as clustering, facility. In a non-geometric setting all these problems would typically be hard to solve. The underlying geometry can at times be exploited, however, to find efficient approximate solutions. Codice articolo 9783639700589
Descrizione libro PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9783639700589
Descrizione libro Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kanade GauravGaurav Kanade received his PhD in computer science from the University of Iowa. His area of interest includes computational geometry, simulation and optimization. He has worked for companies like Yahoo! and Motorola and . Codice articolo 4998594