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Computational Geometry: Algorithms and Applications Hardcover – Apr 16 2008

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Product Details

  • Hardcover: 386 pages
  • Publisher: Springer; 3rd ed. 2008 edition (April 16 2008)
  • Language: English
  • ISBN-10: 3540779736
  • ISBN-13: 978-3540779735
  • Product Dimensions: 24.5 x 20.2 x 2.8 cm
  • Shipping Weight: 930 g
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: #248,732 in Books (See Top 100 in Books)
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Product Description


"An excellent introduction to the field is given here, including a general motivation and usage cases beyond simple graphics rendering or interaction." from the ACM Reviews by William Fahle, University of Texas at Dallas, USA

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Most helpful customer reviews

By Basil on June 4 2012
Format: Hardcover Verified Purchase
Easy reading, excellent text on the topic. I'm coming from a Geomatics (CompSci/Geog) based background and in my 4th year of University.

Every chapter starts with an overview of the problem with real world examples, simple solutions to this that are not optimized nor consider degenerate cases, and then goes into a 'how can we make this better' style of discussion with excellent justifications along the way.

There is an expectation that you are familiar with basic algorithm design, performance analysis, and data structures.
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Most Helpful Customer Reviews on (beta) 15 reviews
6 of 7 people found the following review helpful
Good overview but lacking detail March 17 2011
By David - Published on
Format: Hardcover
This is a very well written book and covers a wide range of computational geometry problems. It is a very good introduction/overview to computational geometry. I would have preferred more detail, specifically code examples. This is a good book to gain an understanding of the topic but not so good if you are actually trying to implement the concepts in code or make the best use existing code libraries.
2 of 2 people found the following review helpful
A textbook for undergraduates Nov. 4 2014
By Clive McCarthy - Published on
Format: Hardcover Verified Purchase
This is a computer science textbook for undergraduates. Lots of "real world" uses for computational geometry to egg-on the unmotivated. Not so good for those that ARE already motivated.

The text glosses over basic tasks such as "whether a point lies to the left or right of a directed line" (page 4) with the expectation that some unnamed library function will do this. For me, not so. Moreover I'd would have liked to read a geometric proof of such things. The foundations are left out, yet elsewhere they waste space to give us Pythagoras' Theorem.
2 of 2 people found the following review helpful
Fantastic explanation -- very clear, with great topics July 30 2013
By EE Codewright - Published on
Format: Hardcover Verified Purchase
It is a joy to read and review this book -- the exposition is crystal clear; the writing style is warm and engaging (not too terse and not too verbose), conveying understanding and not just stating facts, theorems, and algorithms; the graphics are great (numerous richly detailed illustrations); the topics hit the heart of computational geometry; the historical remarks help set context; and the book is beautifully typeset and printed on high quality acid free paper.
1 of 1 people found the following review helpful
Good introduction to the topics but is not good at explaning April 8 2014
By mackster - Published on
Format: Hardcover Verified Purchase
This is the standard text book for CG, and it nicely introduces us to a lot of concepts. But, unfortunately it is not the best book I have read. Most of the examples albeit few, does not make much sense. The algorithms discussed sometimes cannot be grasped. I often went online to read more about the subject to understand the topics. This also could mean that my grasping of the subject is low :), but that should not matter as long as the material is explained clearly.
Solid introduction Aug. 16 2012
By B. Figares - Published on
Format: Hardcover Verified Purchase
Beautiful book, solid contents. I learned a lot from it and had a nice time practicing with the exercises. Lots of examples and problems, a lot of interesting algorithms and techniques, every chapter is a progressive refinement of a particular idea to solve a problem expressed as geometry.

Difficulty level: make sure you know some asymptotic analysis and discrete mathematics to get the best out of it, but could be read by anyone who can code i believe (although again, he'll miss a lot of beautiful mathematics)

Again, i'm very satisfied with it.