**Computational Geometry: Methods and Applications**

by Jianer Chen

1996**Number of pages**: 227

**Description**:

In this book, we concentrate on four major directions in computational geometry: the construction of convex hulls, proximity problems, searching problems and intersection problems. Computational geometry is of practical importance because Euclidean space of two and three dimensions forms the arena in which real physical objects are arranged. A large number of applications areas such as pattern recognition, computer graphics, image processing, operations research, statistics, computer-aided design, robotics, etc., have been the incubation bed of the discipline since they provide inherently geo metric problems for which efficient algorithms have to be developed. A large number of manufacturing problems involve wire layout, facilities location, cutting-stock and related geometric optimization problems. Solving these efficiently on a high-speed computer requires the development of new geo metrical tools, as well as the application of fast-algorithm techniques, and is not simply a matter of translating well-known theorems into computer programs. From a theoretical standpoint, the complexity of geometric algo rithms is of interest because it sheds new light on the intrinsic difficulty of computation.

Download or read it online for free here:

**Download link**

(1.3MB, PDF)

## Similar books

**Essentials of Metaheuristics**

by

**Sean Luke**

This is an open set of lecture notes on metaheuristics algorithms, intended for undergraduate students, practitioners, programmers, and other non-experts. It was developed as a series of lecture notes for an undergraduate course.

(

**10077**views)

**Design and Analysis of Algorithms**

by

**Herbert Edelsbrunner**-

**Duke University**

The main topics to be covered in this course are: Design Techniques; Searching; Prioritizing; Graph Algorithms; Topological Algorithms; Geometric Algorithms; NP-completeness. The emphasis will be on algorithm design and on algorithm analysis.

(

**17895**views)

**Data Structures and Algorithms: Annotated Reference with Examples**

by

**Granville Barnett, Luca Del Tongo**-

**DotNetSlackers**

The book provides implementations of common and uncommon algorithms in pseudocode which is language independent and provides for easy porting to most programming languages. We assume that the reader is familiar with the object oriented concepts.

(

**16654**views)

**Problems on Algorithms, 2nd edition**

by

**Ian Parberry, William Gasarch**-

**Prentice Hall**

A collection of problems on the design, analysis, and verification of algorithms for practicing programmers who wish to hone and expand their skills, as a supplementary text for students, and as a self-study text for graduate students.

(

**17087**views)