Silhouettes: a graphical aid to the interpretation and validation of cluster analysis

/pdf/convex-analysisnoer-san-nojin-zhan-nituite-5dl2rbmoyr.pdf

Convex Analysisの二,三の進展について

Monographs on statistics and applied probability

Introduction to linear and nonlinear programming

Plants, distribution centers, and other facilities generally function for years or decades, during which time the environment in which they operate may change substantially. Costs, demands, travel times, and other inputs to classical facility location models may be highly uncertain. This has made the development of models for facility location under uncertainty a high priority for researchers in both the logistics and stochastic/robust optimization communities. Indeed, a large number of the approaches that have been proposed for optimization under uncertainty have been applied to facility location problems. This paper reviews the literature on stochastic and robust facility location models. Our intent is to illustrate both the rich variety of approaches for optimization under uncertainty that have appeared in the literature and their application to facility location problems. In a few instances for which examples in facility location are not available, we provide examples from the more general logistics l...

Facility Location Under Uncertainty: A Review

Static competitive facility location: An overview of optimisation approaches

Translation with annotations of E. Weiszfeld, Sur le point pour lequel la somme des distances de n points donnes est minimum, Tohoku Mathematical Journal (first series), 43 (1937) pp. 355–386. A short introduction about the translation is found in Appendix A. Appendix B lists particular notations used by Weiszfeld and their now more conventional equivalents. Numbered footnotes are those of the original paper of Weiszfeld. Boxed numerals are references to observations about the translation and comments of the translator, all to be found in Appendix C.

On the point for which the sum of the distances to n given points is minimum

Solving a Huff-like competitive location and design model for profit maximization in the plane

GBSSS - The generalized big square small square method for planar single facility location

http://mosi.vub.ac.be/papers/PlastriaVanhaverbeke2004_foresight.pdf

Frank Plastria

Papers

Static competitive facility location: An overview of optimisation approaches

On the point for which the sum of the distances to n given points is minimum

Solving a Huff-like competitive location and design model for profit maximization in the plane

GBSSS - The generalized big square small square method for planar single facility location

Discrete models for competitive location with foresight