A Lagrangian program detecting the Weighted Fermat-Steiner-Frechet multitree for a Frechet $N-$multisimplex in the $N-$dimensional Euclidean Space
Anastasios N. Zachos

TL;DR
This paper develops a Lagrangian programming approach to identify minimal-length Fermat-Steiner multitrees for N-simplexes in Euclidean space, integrating inverse problems and natural optimization principles.
Contribution
It introduces a novel Lagrangian method for solving the Fermat-Steiner-Frechet problem in N-dimensional space, including a unique solution for the inverse weighted Fermat problem.
Findings
Method determines Fermat-Steiner multitrees in R^N.
Unique solution for inverse weighted Fermat problem.
Application to minimal networks and natural processes.
Abstract
In this paper, we introduce the Fermat-Steiner-Frechet problem for a given tuple of positive real numbers determining the edge lengths of an simplex in in order to study its solution called the "Fermat-Steiner-Frechet multitree," which consist of a union of Fermat-Steiner trees for all derived pairwise incongruent simplexes in the sense of Blumenthal, Herzog for and Dekster-Wilker for We obtain a method to determine the Fermat-Steiner Frechet multitree in based on the theory of Lagrange multipliers, whose equality constraints depend on independent solutions of the inverse weighted Fermat problem for an simplex in A fundamental application of the Lagrangian program for the Fermat-Steiner Frechet problem in is the detection of the Fermat-Steiner tree with global…
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Taxonomy
Topicsgraph theory and CDMA systems · Advanced Graph Theory Research · Limits and Structures in Graph Theory
