Discrete Location Theory

AvPitu B. Mirchandani,Richard L. Francis

Inbunden, Engelska, 1990

Del 23 i serien Wiley Series in Discrete Mathematics and Optimization

3 430 kr

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Beskrivning

This invaluable resource presents the state of the art in discrete location theory. Among the topics covered are: locations with spatial interactions such as the quadratic assignment problem and competitive locations and games; duality and decomposition methods for facility location problems; the uncapacitated facility location problem; the p-median problem; location of mobile units in a stochastic environment; covering problems; and the p-center problem. Leading experts in the field of discrete location theory contributed to each chapter. In addition, there are numerous exercises, references, notes and further discussions which serve as aids for understanding theoretical and algorithmic concepts.

Produktinformation

Utgivningsdatum:1990-12-20
Mått:162 x 243 x 33 mm
Vikt:889 g
Format:Inbunden
Språk:Engelska
Serie:Wiley Series in Discrete Mathematics and Optimization
Antal sidor:576
Upplaga:99
Förlag:John Wiley & Sons Inc
ISBN:9780471892335

Utforska kategorier

Tillämpad matematik inom Naturvetenskap och teknik

Mer om författaren

Pitu B. Mirchandani and Richard L. Francis are the authors of Discrete Location Theory, published by Wiley.

Innehållsförteckning

Ingredients of Locational Analysis (J. Krarup & P.Pruzan). The p-Median Problem and Generalizations (P. Mirchandani). The Uncapacitated Facility Location Problem (G. Cornuejols, etal.). Multiperiod Capacitated Location Models (S. Jacobsen). Decomposition Methods for Facility Location Problems (T. Magnanti& R. Wong). Covering Problems (A. Kolen & A. Tamir). p-Center Problems (G. Handler). Duality: Covering and Constraining p-Center Problems on Trees (B.Tansel, et al.). Locations with Spatial Interactions: The Quadratic AssignmentProblem (R. Burkard). Locations with Spatial Interactions: Competitive Locations andGames (S. Hakimi). Equilibrium Analysis for Voting and Competitive Location Problems(P. Hansen, et al.). Location of Mobile Units in a Stochastic Environment (O. Berman, etal.). Index.