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ePub Computational Geometry: Algorithms and Applications download

by Mark de Berg,Marc van Kreveld,Otfried Cheong

ePub Computational Geometry: Algorithms and Applications download
Author:
Mark de Berg,Marc van Kreveld,Otfried Cheong
ISBN13:
978-3540779735
ISBN:
3540779736
Language:
Publisher:
Springer; 3rd edition (April 16, 2008)
Category:
Subcategory:
Science & Mathematics
ePub file:
1360 kb
Fb2 file:
1175 kb
Other formats:
rtf doc azw lit
Rating:
4.5
Votes:
282

Computational Geometry. Dr. Marc van Kreveld.

Computational Geometry. Mark de Berg · Otfried Cheong Marc van Kreveld · Mark Overmars. Computational Geometry. Department of Information and Computing Sciences Utrecht University . Box 8. 89 3508 TB Utrecht The Netherlands. This book describes the most important notions, techniques, algorithms, and data structures from computational geometry in a way that we hope will be attractive to readers who are interested in applying results from computational geometry. Each chapter is motivated with a real computational problem that requires geometric algorithms for its solution.

This well-accepted introduction to computational geometry is a textbook for high-level undergraduate and low-level graduate courses. The focus is on algorithms and hence the book is well suited for students in computer science and engineering

This well-accepted introduction to computational geometry is a textbook for high-level undergraduate and low-level graduate courses. The focus is on algorithms and hence the book is well suited for students in computer science and engineering. Motivation is provided from the application areas: all solutions and techniques from computational geometry are related to particular applications in robotics, graphics, CAD/CAM, and geographic information systems. For students this motivation will be especially welcome

Algorithms and Applications.

Algorithms and Applications. A broad overview of the major algorithms and data structures of the field. Motivated from applications. Covers concepts and techniquesto be presented in any course on computational geometry. Self-contained and illustrated with 370 figures. The book has been written as a textbook for a course in computational geometry, but it can also be used for self-study.

by de Berg, Mark (Author), Otfried Cheong (Author), van Kreveld, Marc (Author), Mark Overmars (Author) & 1 more. I blame this book for turning many smart students away from Computational Geometry.

Computational geometry emerged from the field of algorithms design and anal ysis in the late 1970s.

PDF On Jan 1, 2016, Bahram Sadeghi Bigham and others published Translated to Persian: Computational Geometry . Book · January 2016 with 75 Reads. How we measure 'reads'

PDF On Jan 1, 2016, Bahram Sadeghi Bigham and others published Translated to Persian: Computational Geometry - Algorithms and Applications. How we measure 'reads'.

Computational geometry algorithms in Java.

Marc Johan van Kreveld is a Dutch computational geometer, known as one of the authors of the textbook Computational Geometry: Algorithms and Applications (with Mark de Berg, Otfried Cheong, and Mark Overmars, Springer, 1997; 3rd e. 2008). Van Kreveld completed his P. in 1992 at Utrecht University. His dissertation, New Results on Data Structures in Computational Geometry, was supervised by Mark Overmars. He is a professor of computer science at Utrecht University.

Mark de Berg, Otfried Cheong, Marc van Kreveld, and Mark Overmars (2008). The book shows how classical problems of computational geometry and algorithms for their solutions may be adapted or redesigned to work on surfaces other than plane. Computational Geometry (3rd revised e. After defining notations and ways of positioning on these surfaces, the book considers the problems of the construction of convex hulls, Voronoi diagrams, and triangulations, proximity problems, and visibility problems.

This introduction to computational geometry focuses on algorithms. Motivation is provided from the application areas as all techniques are related to particular applications in robotics, graphics, CAD/CAM, and geographic information systems. Modern insights in computational geometry are used to provide solutions that are both efficient and easy to understand and implement.
  • I'm changing my review after reviewing this book close to a final PhD exam, and becoming an expert in some of the subject matter. This book is one of the reasons why Computational Geometry is difficult to grasp. Here are the problems:

    1. The introductions to each chapter are verbose and has irrelevant, boring examples
    2. The most relevant part of each chapter is the algorithm. The algorithms part has a lot of terse proofs, and non-intuitive descriptions. Please refer to the Fortune's Voronoi diagram algorithm as an example. By reading this chapter, not even a great student will be able to simply implement it. It's just a long winding, bunch of dry proofs, and then steps of the algorithm, which develops no understanding, that it simply is the intersection of the parabolas that satisfy the requirement of the Voronoi partition.
    3. The research section towards the end presents some examples, but most of the ideas in these are also not developed to further understanding.

    I blame this book for turning many smart students away from Computational Geometry. Given that it's considered the standard text book in CG.

  • Comprehensive, deep, clear (i.e. readable). Pseudo-code (high level) is provided at end of each chapter. Also exercises. Reader must still convert from pseudo-code to programming language in order to actually implement. A web site is listed to help with that, which provides links to programming resources. I haven't yet tried them..

  • 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.

  • This book is a must to all researchers and students of the field. The algorithms are always presented in the context of an application, which makes it the more understandable. However, the authors chose to present them in a very high level of abstraction, and some of the finer details - so important in these algorithms - are only mentioned, which may pose a problem to obtaining a suitable, efficient implementation of them in a programming language.

  • 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.

  • The material is explained in details with good examples, which makes it easy and enjoyable to read (yes, enjoyable!). My only gripe is it doesn't have solutions to the exercise problems.

  • Great book, very insightful and the fact the book is so technical didn't disable the book's didactic, which by the way i thought very well of it!!!!

  • This book is pretty damn good. It explains the content well. I like it. My professor likes it. The hardcover is nice.