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Computational Geometry (Machine intelligence and pattern recognition) by Godfried T. Toussaint is a nonfiction available to read on EtoBox.

What is Computational Geometry (Machine intelligence and pattern recognition) about?

Machine Intelligence and Pattern Recognition, Volume 2: Computational Geometry focuses on the operations, processes, methodologies, and approaches involved in computational geometry, including algorithms, polygons, convex hulls, and bucketing techniques. The selection first ponders on optimal parallel algorithms for selection, sorting, and computing convex hulls, simple on-line algorithms for convex polygons, and geometric algorithms that use the furthest-point Voronoi diagram. Discussions focus on algorithms that use the furthest-point Voronoi diagram, intersection of a convex polygon and a halfplane, point insertion, convex hulls and polygons and their representations, and parallel algorithm for selection and computing convex hulls. The text then examines optimal convex decompositions, expected time analysis of algorithms in computational geometry, and practical use of bucketing techniques in computational geometry. The book takes a look at minimum decompositions of polygonal objects, framework for computational morphology, display of visible edges of a set of convex polygons, and implementation study of two algorithms for the minimum spanning circle problem. Topics include rolli

Who reads Computational Geometry (Machine intelligence and pattern recognition)?

Author

Godfried T. Toussaint

Publisher

Elsevier Science Ltd

Published

1985

Language

EN

ISBN

9781483257112

Category

nonfiction

Subjects

Mathematics, Stem