An Introduction To Computational Geometry For Programmers

An Introduction To Computational Geometry For Programmers

Computational geometry is a branch of computer science that deals with the representation and manipulation of geometric objects. It has applications in a wide variety of fields, including computer graphics, robotics, and geographic information systems.

This book provides a comprehensive introduction to computational geometry for programmers. It covers the basic concepts of computational geometry, such as points, lines, polygons, and polyhedra. It also covers more advanced topics, such as geometric algorithms and data structures.

The book is written in a clear and concise style, and it is suitable for readers with no prior experience in computational geometry. It is also a valuable reference for experienced programmers who want to learn more about this important field.

Key Topics Covered in the Book

  • Basic concepts of computational geometry, such as points, lines, polygons, and polyhedra
  • Geometric algorithms, such as convex hull algorithms, closest point algorithms, and range searching algorithms
  • Data structures for computational geometry, such as kd-trees, quadtrees, and Delaunay triangulations
  • Applications of computational geometry in computer graphics, robotics, and geographic information systems

Benefits of Reading This Book

  • Gain a deep understanding of the fundamentals of computational geometry
  • Learn how to implement geometric algorithms and data structures
  • Apply computational geometry to solve real-world problems in a variety of fields
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Comments 8
  1. I think it’s a great post! It’s well-written and easy to follow. I especially liked the section on convex hulls. I’m definitely going to use some of these techniques in my own projects.

  2. This post is terrible! It’s full of errors and the explanations are confusing. I don’t recommend reading it.

  3. This post is a great introduction to computational geometry for programmers. It covers the basics of the subject, including points, lines, polygons, and convex hulls. The explanations are clear and concise, and the examples are helpful. I would recommend this post to anyone who is interested in learning more about computational geometry.

  4. I disagree with the author’s claim that computational geometry is only useful for graphics applications. I believe that it has many other applications, such as robotics, computer-aided design, and geographic information systems.

  5. I find it ironic that the author of this post is talking about computational geometry, which is a serious subject, in such a lighthearted way.

  6. This post is so full of errors that it’s almost funny. I mean, who writes ‘polgyon’ instead of ‘polygon’?

  7. I couldn’t help but laugh at the author’s attempt to explain convex hulls. It was like a comedian trying to do math!

  8. This post is a great resource for anyone who wants to learn more about computational geometry. The explanations are clear and concise, and the examples are helpful. I would recommend this post to anyone who is interested in the subject.

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