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Mastering SciPy

You're reading from   Mastering SciPy Implement state-of-the-art techniques to visualize solutions to challenging problems in scientific computing, with the use of the SciPy stack

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781783984749
Length 404 pages
Edition 1st Edition
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Authors (2):
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Francisco Javier Blanco-Silva Francisco Javier Blanco-Silva
Author Profile Icon Francisco Javier Blanco-Silva
Francisco Javier Blanco-Silva
Francisco Javier B Silva Francisco Javier B Silva
Author Profile Icon Francisco Javier B Silva
Francisco Javier B Silva
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Toc

Chapter 6. Computational Geometry

Computational geometry is a field of mathematics that seeks the development of efficient algorithms to solve problems described in terms of basic geometrical objects. We differentiate between combinatorial computational geometry and numerical computational geometry.

Combinatorial computational geometry deals with the interaction of basic geometrical objects—points, segments, lines, polygons, and polyhedra. In this setting, we have three categories of problems:

  • Static problems: The construction of a known target object is required from a set of input geometric objects
  • Geometric query problems: Given a set of known objects (the search space) and a sought property (the query), these problems deal with the search of objects that satisfy the query
  • Dynamic problems: This is similar to the problems from the previous two categories, with the added challenge that the input is not known in advance, and objects are inserted or deleted between queries...
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