Shortest Paths Help Solve Geometric Optimization Problems in Planar Regions(Make Corrections)(2 citations) Elefterios A. Melissaratos, Diane L. Souvaine
Abstract: The goal of this paper is to show that the concept of the shortest path inside a polygonal
region contributes to the design of efficient algorithms for certain geometric optimization problems
involving simple polygons: computing optimum separators, maximum area or perimeter inscribed
triangles, a minimum area circumscribed concave quadrilateral, or a maximum area contained
triangle. The structure for our algorithms is as follows: a) decompose the initial problem into a
low-degree polynomial... (Update)
.... compute the shortest path tree (which is, as well as in the rectilinear case, the key tool of the method) Melissaratos and Souvaine [18] show that the shortest path tree of a point inside a splinegon can be computed in O(n) time. We give a simpler approach to the problem when...
.... was also studied without the convexity assumption ( nding the maximum area triangle contained in a simple n gon) where it becomes much harder [16]. The perimeter result also holds for any strictly convex norm, since we use only the triangle inequality. The maximum number of...
E. A. Melissaratos and D. L. Souvaine. Shortest paths help solve geometric optimization problems on planar regios. SIAM J. Comput., 21:601--638, 92. 16 http://citeseer.nj.nec.com/5639.html More
@article{ melissaratos92shortest,
author = "Elefterios A. Melissaratos and Diane L. Souvaine",
title = "Shortest Paths Help Solve Geometric Optimization Problems in Planar Regions",
journal = "SIAM J. Comput.",
volume = "21",
number = "4",
pages = "601-638",
year = "1992",
url = "citeseer.nj.nec.com/5639.html" }