On Intersecting a Set of Isothetic Line Segments with a Convex Polygon of Minimum Area

Author(s):  
Asish Mukhopadhyay ◽  
Eugene Greene ◽  
S. V. Rao
2009 ◽  
Vol 19 (06) ◽  
pp. 557-577 ◽  
Author(s):  
ASISH MUKHOPADHYAY ◽  
EUGENE GREENE ◽  
S. V. RAO

We describe an O(n2)-time algorithm for computing a minimum-area convex polygon that intersects a set of n isothetic line segments.


2008 ◽  
Vol 105 (2) ◽  
pp. 58-64 ◽  
Author(s):  
Asish Mukhopadhyay ◽  
Chanchal Kumar ◽  
Eugene Greene ◽  
Binay Bhattacharya

2006 ◽  
Vol 17 (05) ◽  
pp. 1031-1060 ◽  
Author(s):  
KAZUYUKI MIURA ◽  
SHIN-ICHI NAKANO ◽  
TAKAO NISHIZEKI

A convex grid drawing of a plane graph G is a drawing of G on the plane such that all vertices of G are put on grid points, all edges are drawn as straight-line segments without any edge-intersection, and every face boundary is a convex polygon. In this paper we give a linear-time algorithm for finding a convex grid drawing of every 4-connected plane graph G with four or more vertices on the outer face. The size of the drawing satisfies W + H ≤ n - 1, where n is the number of vertices of G, W is the width and H is the height of the grid drawing. Thus the area W · H is at most ⌈(n - 1)/2⌉ · ⌊(n - 1)/2⌋. Our bounds on the sizes are optimal in a sense that there exist an infinite number of 4-connected plane graphs whose convex drawings need grids such that W + H = n - 1 and W · H = ⌈(n - 1)/2⌉ · ⌊(n - 1)/2⌋.


2006 ◽  
Vol 12 (4) ◽  
pp. 341-346 ◽  
Author(s):  
Laura Vyšniauskaitė ◽  
Vydūnas Šaltenis

Convex hull is the minimum area convex polygon containing the planar set. By now there are quite many convex hull algorithms (Graham Scan, Jarvis March, QuickHull, Incremental, Divide‐and‐Conquer, Marriage‐before‐Conquest, Monotone Chain, Brute Force). The main attention while choosing the algorithm is paid to the running time. In order to raise the efficiency of all the algorithms an idea of a priori filtration of points is given in this article. Besides, two new algorithms have been created and presented. The experiment research has shown a very good efficiency of these algorithms.


Author(s):  
W.S. CHAN ◽  
F. CHIN

We improve the time complexities for solving the polygonal curve approximation problems formulated by Imai and Iri. The time complexity for approximating any polygonal curve of n vertices with minimum number of line segments can be improved from O(n2 log n) to O(n2). The time complexity for approximating any polygonal curve with minimum error can also be improved from O(n2 log 2n) to O(n2 log n). We further show that if the curve to be approximated forms part of a convex polygon, the two problems can be solved in O(n) and O(n2) time respectively for both open and closed polygonal curves.


2003 ◽  
Vol 13 (05) ◽  
pp. 439-445 ◽  
Author(s):  
PETER BRAß ◽  
LAURA HEINRICH-LITAN ◽  
PAT MORIN

The center of area of a convex planar set X is the point p for which the minimum area of X intersected by any halfplane containing p is maximized. We describe a simple randomized linear-time algorithm for computing the center of area of a convex n-gon.


2009 ◽  
Author(s):  
Robert G. Cook ◽  
Carl Erick Hagmann
Keyword(s):  

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