A Bound on the Sum of Weighted Pairwise Distances of Points Constrained to Balls
Neal E. Young

TL;DR
This paper establishes a tight upper bound on the sum of weighted pairwise distances for points constrained within balls, providing a dual formulation and a polynomial-time approximation method.
Contribution
It introduces a dual minimization problem for the constrained distance sum and proves strong duality under certain conditions, along with a near-optimal algorithm.
Findings
Strong duality holds when points are affinely independent.
Derived a tight upper bound for the sum of distances.
Proposed a polynomial-time algorithm for near-optimal solutions.
Abstract
We consider the problem of choosing Euclidean points to maximize the sum of their weighted pairwise distances, when each point is constrained to a ball centered at the origin. We derive a dual minimization problem and show strong duality holds (i.e., the resulting upper bound is tight) when some locally optimal configuration of points is affinely independent. We sketch a polynomial time algorithm for finding a near-optimal set of points.
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Digital Image Processing Techniques · Optimization and Packing Problems
