Revisiting several problems and algorithms in Continuous Location with l_p norms
Seminar Room 1, Newton Institute
AbstractThis work addresses the general continuous single facility location problems in finite dimension spaces under possibly diferent l_p norms, p>=1, in the demand points. We analyze the dificulty of this family of problems and revisit convergence properties of some well-known algorithms. The ultimate goal is to provide a common approach to solve the family of continuous l_p ordered median location problems in dimension d (including of course the l_p minisum or Fermat-Weber location problem for any p>=1). We prove that this approach has a polynomial worst case complexity for monotone lambda weights and can be also applied to constrained and even non-convex problems.
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