Finding minimum area k-gons

Abstract

Given a set P of n points in the plane and a number k, we want to find a polygon[Figure not available: see fulltext.] with vertices in P of minimum area that satisfies one of the following properties: (1)[Figure not available: see fulltext.] is a convex k-gon, (2)[Figure not available: see fulltext.] is an empty convex k-gon, or (3)[Figure not available: see fulltext.] is the convex hull of exactly k points of P. We give algorithms for solving each of these three problems in time O(kn3). The space complexity is O(n) for k=4 and O(kn2) for k≥5. The algorithms are based on a dynamic programming approach. We generalize this approach to polygons with minimum perimeter, polygons with maximum perimeter or area, polygons containing the maximum or minimum number of points, polygons with minimum weight (for some weights added to vertices), etc., in similar time bounds. © 1992 Springer-Verlag New York Inc.