Year: 2026
Type: article
Abstract: We study the geometry of tropical Fermat–Weber points, that is, optimal solutions to a location problem over a projective space using a dissimilarity measure derived from the tropical metric. It is well-known that for a given sample, such points are not necessarily unique, and we show that the set of all possible Fermat–Weber points forms a polytrope. This follows from the fact that our location problem turns out to be dual to a particular minimum-cost flow problem, and we describe the polytrope of optimal locations in the terminology of tropical geometry. We also provide a simple gradient descent algorithm that converges to the Fermat–Weber polytrope.
Language: English
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,090
Awards: G2070205951, Institute for Mathematical and Statistical Innovation, Development of a new topological data analysis by integration with computational vison theory, G3742856630, Collaborative Research: Principal Component Analysis over Tree Spaces and Its Applications to Phylogenomics, Tropical Neural Networks, 大規模な教師有り学習を実現できる生物学的に尤もらしい学習則は存在するか?
OpenAlex ID: W7171569355
