By Herbert Edelsbrunner

This monograph offers a quick path in computational geometry and topology. within the first half the ebook covers Voronoi diagrams and Delaunay triangulations, then it provides the idea of alpha complexes which play an important position in biology. The important a part of the e-book is the homology idea and their computation, together with the idea of endurance that's necessary for functions, e.g. form reconstruction. the objective viewers contains researchers and practitioners in arithmetic, biology, neuroscience and laptop technology, however the e-book can also be useful to graduate scholars of those fields.

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**Extra resources for A Short Course in Computational Geometry and Topology**

**Example text**

Why does this imply that the Delaunay triangulation of S has n2 edges? To prove this, let t1 < t2 < · · · < tn be the parameters that define the n sites. For any four indices 1 ≤ i < i + 1 < j < j + 1 ≤ n, we consider the sphere that passes through the four corresponding points. It intersects the moment curve in these four points and in no others. It follows that the segments between M(ti ) and M(ti+1 ) and between M(t j ) and M(t j+1 ) lie inside the sphere, and the other three segments along the moment curve lie outside the sphere.

20 ¼ 10 þ 10 points). Let S be a finite set of points in R2 , s and t two points in S, and a positive real number. Recall that Dt ðaÞ is the a-disk centered at s 2 S; Vs is the Voronoi region of s, and RS ðaÞ ¼ Ds ðaÞ \ VS . (a) Prove that every point x 2 Vs \ Dt ðaÞ is contained in DS ðaÞ, (b) Prove [s2S Ds ðaÞ ¼ [s2S Rs ðaÞ. Question 2. (20 ¼ 10 þ 10 points). Let S be a finite set of sites in general position in R2 . Let stu and stv be two triangles in the Delaunay triangulation, and denote the angles at u and v inside these triangles by u and w.

Assuming general position, we begin by letting s be the leftmost site. Drawing a vertical line L through s and oriented downward, we see that all sites lie to the left of L, so s is indeed a vertex of the convex hull. Using s as a pivot, we rotate L in a ccw order until it hits another site, t. All sites other than s and t lie to the left of L, implying that st is an edge of the convex hull. We repeat this step now using t as the pivot. Each step gives a new edge of the convex hull, and the algorithm halts when it returns to the initial site, s.