Michelot, C.; Lefebvre, O. A primal-dual algorithm for the Fermat-Weber problem involving mixed gauges. (English) Zbl 0641.90034 Math. Program. 39, 319-335 (1987). Summary: We give a new algorithm for solving the Fermat-Weber location problem involving mixed gauges. This algorithm, which is derived from the partial inverse method developed by J. E. Spingarn [Appl. Math. Optimization 10, 247-265 (1983; Zbl 0524.90072)] simultaneously generates two sequences globally converging to a primal and a dual solution respectively. In addition, the updating formulae are very simple; a stopping rule can be defined though the method is not dual feasible and the entire set of optimal location can be obtained from the dual solution by making use of optimality conditions. When polyhedral gauges are used, we show that the algorithm terminates in a finite number of steps, provided that the set of optimal locations has nonempty interior and a counterexample to finite termination is given in case where this property is violated. Finally, numerical results are reported and we discuss possible extensions of these results. Cited in 20 Documents MSC: 90B05 Inventory, storage, reservoirs 90C90 Applications of mathematical programming 65K05 Numerical mathematical programming methods Keywords:proximal point algorithm; Fermat-Weber location problem; mixed gauges; partial inverse method; polyhedral gauges Citations:Zbl 0524.90072 × Cite Format Result Cite Review PDF Full Text: DOI References: [1] R.D. Armstrong, ”A primal simplex algorithm to solve a rectilinear distance facility location problem,”Naval Research Logistics Quarterly 24 (1977) 619–626. · Zbl 0372.90080 · doi:10.1002/nav.3800240409 [2] L. Cooper and I.N. 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