Topology-based Methods in Visualization (Mathematics and Visualization) - Info and Reading Options
By Helwig Hauser and H. Hagen

"Topology-based Methods in Visualization (Mathematics and Visualization)" is published by Springer in August 17, 2007, it has 222 pages and the language of the book is English.
“Topology-based Methods in Visualization (Mathematics and Visualization)” Metadata:
- Title: ➤ Topology-based Methods in Visualization (Mathematics and Visualization)
- Authors: Helwig HauserH. Hagen
- Language: English
- Number of Pages: 222
- Publisher: Springer
- Publish Date: August 17, 2007
“Topology-based Methods in Visualization (Mathematics and Visualization)” Subjects and Themes:
- Subjects: ➤ Visualization - Topology - Differential equations - Congresses - Qualitative theory - Topological dynamics - Équations différentielles - Congrès - Théorie qualitative - Dynamique topologique - MATHEMATICS - General - Visualisierung - Computer graphics
Edition Specifications:
- Format: Hardcover
- Weight: 14.4 ounces
- Dimensions: 9.3 x 6.1 x 0.6 inches
Edition Identifiers:
- The Open Library ID: OL9063559M - OL16933656W
- Online Computer Library Center (OCLC) ID: 167649212
- Library of Congress Control Number (LCCN): 2007926110
- ISBN-13: 9783540708223
- ISBN-10: 3540708227
- All ISBNs: 3540708227 - 9783540708223
AI-generated Review of “Topology-based Methods in Visualization (Mathematics and Visualization)”:
"Topology-based Methods in Visualization (Mathematics and Visualization)" Description:
The Open Library:
Enabling insight into large and complex datasets is a prevalent theme in visualization research for which different approaches are pursued. Topology-based methods are built on the idea of abstracting characteristic structures such as the topological skeleton from the data and to construct the visualizations accordingly. There are currently new demands for and renewed interest in topology-based visualization solutions. This book presents 13 peer-reviewed papers as written results from the 2005 workshop “Topology-Based Methods in Visualization” that was initiated to enable additional stimulation in this field. It contains a longer chapter dedicated to a survey of the state-of-the-art, as well as a great deal of original work by leading experts that has not been published before, spanning both theory and applications. It captures key concepts and novel ideas and serves as an overview of current trends in topology-based visualization research.
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