Topological Methods in Data Analysis and Visualization III : Theory, Algorithms, and Applications
by Peer-Timo Bremer and Ingrid Hotz and Valerio Pascucci


Overview -

This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative analysis of simplification techniques, and key applications in materials and medical science.  Read more...


 
In Stock.

This item is Non-Returnable.
FREE Shipping for Club Members
 
> Check In-Store Availability

In-Store pricing may vary

 
 
New & Used Marketplace 8 copies from $124.30
 
 
 
 

More About Topological Methods in Data Analysis and Visualization III by Peer-Timo Bremer; Ingrid Hotz; Valerio Pascucci
 
 
 
Overview

This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative analysis of simplification techniques, and key applications in materials and medical science. The volume also features material on core research challenges such as the representation of large and complex datasets and integrating numerical methods with robust combinatorial algorithms.

Reflecting the focus of the TopoInVis 2013 conference, the contributions evince the progress currently being made on finding experimental solutions to open problems in the sector. They provide an inclusive snapshot of state-of-the-art research that enables researchers to keep abreast of the latest developments and provides a foundation for future progress. With papers by some of the world's leading experts in topological techniques, this volume is a major contribution to the literature in a field of growing importance with applications in disciplines that range from engineering to medicine.



This item is Non-Returnable.

 
Details
  • ISBN-13: 9783319040981
  • ISBN-10: 3319040987
  • Publisher: Springer
  • Publish Date: May 2014
  • Page Count: 279
  • Dimensions: 9.21 x 6.14 x 0.69 inches
  • Shipping Weight: 1.29 pounds

Series: Mathematics and Visualization

Related Categories

Books > Mathematics > Graphic Methods
Books > Mathematics > Mathematical Analysis
Books > Mathematics > Topology - General

 
BAM Customer Reviews