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Topological Methods in Data Analysis and Visualization III: Theory, Algorithms, and Applications (Mathematics and Visualization)
INR 15490
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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.
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- 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.
| Publisher | Springer |
| Publication date | April 22, 2014 |
| Edition | 2014th |
| Language | English |
| File size | 9.6 MB |
| Enhanced typesetting | Not Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 289 pages |
| Format | Print Replica |
| ISBN-13 | 978-3319040998 |
| Page Flip | Not Enabled |
| Item Weight | 1.5 lbs (680 grams) |
Product Description
Topological Methods in Data Analysis and Visualization III: Theory, Algorithms, and Applications (Mathematics and Visualization)
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INR 15490
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Features & Benefits
- Comprehensive coverage of cutting-edge research in topological approaches.
- Fast homology computation and simplification techniques included.
- Key applications in materials and medical science.
- Addresses challenges in representing large, complex datasets.
- Contributions from world-leading experts in topological techniques.
- A vital resource for researchers to stay updated and foster future progress.
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