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Unformatted text preview: AMS 345/CSE 355 (Fall, 2010) Joe Mitchell COMPUTATIONAL GEOMETRY Homework Set # 2 – Solution Notes (1). Suppose that you are given a simple polygon P , specified (as usual) as a list of n vertices, v , v 1 , . . . , v n − 1 , given in counterclockwise order about the polygon. Your goal is to find a diagonal of P , any diagonal, v i v j . Describe an efficient algorithm to compute a diagonal, ideally in worst case linear time, without resorting to computing a triangulation of P . (Since Chazelle’s (highly complex) algorithm computes a triangulation in linear time, we know that it is possible; but much simpler methods are also possible!) Make your algorithm as efficient as possible (ideally O ( n ) ) in the worst case (you need not worry about constants; “efficient” is measured in the usual BigOh notation). What is the running time? (While your algorithm need not be written in code, try to write it very clearly and succinctly, step by step.) METHOD 1: We can give a simple lineartime algorithm based on the proof that a simple polygon (with n ≥ 4) has a diagonal (Lemma 1.2.2). First, we find a strictly convex vertex, v , in linear time ( O ( n )) by looping through the vertices of P and finding the one with smallest y coordinate, breaking ties by picking the one with largest xcoordinate (as in Lemma 1.2.1). Let a be the predecessor of v (in the ccw order about P ) and let b be the successor of v (in the ccw order about P ). Now, we loop through all n − 3 vertices v i negationslash = v, a, b , checking each to see if it lies in the (closed) triangle Δ avb ; we can do this by calling Left( a, v, v i ), Left( v, b, v i ), and LeftOn( b, a, v i ). (Note that v i cannot be on the segment av or the segment vb , but it may lie on the segment ab .) If no such....
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This note was uploaded on 03/13/2011 for the course AMS 345 taught by Professor Mitchell,j during the Spring '08 term at SUNY Stony Brook.
 Spring '08
 Mitchell,J

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