INTRODUCTION

In this (long) chapter we examine several problems that can be loosely classified as involving search or intersection (or both). This is a vast, well-developed topic, and I will make no attempt at systematic coverage. The chapter starts with two constant-time computations that are generally below the level considered in the computational geometry literature: intersecting two segments (Section 7.2) and intersecting a segment with a triangle (Section 7.3). Implementations are presented for both tasks. Next we employ these algorithms for two more difficult problems: determining whether a point is in a polygon – the “point-in-polygon problem” (Section 7.4), and the “point-in-polyhedron problem” (Section 7.5). The former is a heavily studied problem; the latter has seen less scrutiny. Again implementations are presented for both. We next turn to intersecting two convex polygons (Section 7.6), again with an implementation (the last in the chapter). Intersecting a collection of segments (Section 7.7) leads to intersection of nonconvex polygons (Section 7.8).

The theoretical jewel in this chapter is an algorithm to find extreme points of a polytope in any given query direction (Section 7.10). This leads naturally to planar point location (Section 7.11), which allows us to complete the explanation of the randomized triangulation algorithm from Chapter 2 (Section 2.4.1) with a presentation of a randomized algorithm to construct a search structure for a trapezoid decomposition (Section 7.11.4).