TITLE: EUCLIDEAN SHORTEST PATHS: EXACT OR APPROXIMATE
ALGORITHMS
PUBLISHER: SPRINGER LANGUAGE: ENGLISH
LINK:
http://is.gd/tAGGto RELEASE TYPE: RETAIL
FORMAT: PDF RELEASE DATE: 2015.01.14
ISBN: 9781447122562 STORE DATE: 2011
SAVED.MONEY: 84 EURO DISKCOUNT: 02 x 05MB
AUTHOR: LI, FAJIE, KLETTE, REINHARD
BOOK
The Euclidean shortest path (ESP) problem asks the question: what
is the path of minimum length connecting two points in a 2- or
3-dimensional space? Variants of this industrially-significant
computational geometry problem also require the path to pass
through specified areas and avoid defined obstacles
This unique text/reference reviews algorithms for the exact or
approximate solution of shortest-path problems, with a specific
focus on a class of algorithms called rubberband algorithms
Discussing each concept and algorithm in depth, the book includes
mathematical proofs for many of the given statements. Suitable
for a second- or third-year university algorithms course, the
text enables readers to understand not only the algorithms and
their pseudocodes, but also the correctness proofs, the analysis
of time complexities, and other related topics
Topics and features:
* Provides theoretical and programming exercises at the end of
each chapter* Presents a thorough introduction to shortest paths
in Euclidean geometry, and the class of algorithms called
rubberband algorithms* Discusses algorithms for calculating exact
or approximate ESPs in the plane* Examines the shortest paths on
3D surfaces, in simple polyhedrons and in cube-curves* Describes
the application of rubberband algorithms for solving art gallery
problems, including the safari, zookeeper, watchman, and touring
polygons route problems* Includes lists of symbols and
abbreviations, in addition to other appendices
This hands-on guide will be of interest to undergraduate students
in computer science, IT, mathematics, and engineering
Programmers, mathematicians, and engineers dealing with
shortest-path problems in practical applications will also find
the book a useful resource
Dr. Fajie Li is at Huaqiao University, Xiamen, Fujian, China
Prof. Dr. Reinhard Klette is at the Tamaki Innovation Campus of
The University of Auckland
