Topological Data Analysis for Scientific Visualization by Julien Tierny
Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data.
Theoretical concepts are presented in a painstaking but intuitive manner, with numerous high-quality color illustrations. Key algorithms for the computation and simplification of topological data representations are described in detail, and their application is carefully demonstrated in a chapter dedicated to concrete use cases.
With its fine balance between theory and practice, "Topological Data Analysis for Scientific Visualization" constitutes an appealing introduction to the increasingly important topic of topological data analysis for lecturers, students and researchers.
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In Situ Visualization for Computational Science
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Hierarchical and Geometrical Methods in Scientific Visualization
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Multimedia Tools for Communicating Mathematics
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Computational Line Geometry
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Geometric Methods in Bio-Medical Image Processing
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Computational Diffusion MRI and Brain Connectivity
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Visualization in Medicine and Life Sciences
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New Developments in the Visualization and Processing of Tensor Fields
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Triangulations and Applications
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Topological Methods in Data Analysis and Visualization III
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Visualization and Processing of Tensor Fields
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Shape Analysis and Structuring
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Advances in Multiresolution for Geometric Modelling
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Image Processing Based on Partial Differential Equations
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Geometric Modeling for Scientific Visualization
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Mathematics and Art
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GPU-Based Interactive Visualization Techniques
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Computational Diffusion MRI
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Visualization in Medicine and Life Sciences II
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Imaging, Vision and Learning Based on Optimization and PDEs
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Topological Methods in Data Analysis and Visualization
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Topology-Based Methods in Visualization II
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Visualization in Medicine and Life Sciences III
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Topological Methods in Data Analysis and Visualization VI
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Topological and Statistical Methods for Complex Data
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Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data
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Modeling, Analysis, and Visualization of Anisotropy
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Perspectives in Shape Analysis
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Topological Methods in Data Analysis and Visualization IV
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Bezier and B-Spline Techniques
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Eye Tracking and Visualization
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Scientific Visualization: The Visual Extraction of Knowledge from Data
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VizSEC 2007
Julien Tierny received the Ph.D. degree in Computer Science from Lille 1 University in 2008 and the Habilitation degree (HDR) from Sorbonne Universitü¾Ž–”¼s UPMC in 2016. He is currently a CNRS permanent research scientist, affiliated with Sorbonne Universities (LIP6, UPMC Paris 6, France) since September 2014 and with Telecom ParisTech from 2010 to 2014. Prior to his CNRS tenure, he held a Fulbright fellowship (U.S. Department of State) and was a post-doctoral research associate at the Scientific Computing and Imaging Institute at the University of Utah. His research expertise includes topological data analysis for scientific visualization. Dr. Julien Tierny received several awards for his research, including best paper awards (IEEE VIS 2017, IEEE VIS 2016, IEEE SciVis Contest 2016, EGPGV 2013). He is the lead developer of the Topology ToolKit (TTK), an open source library for topological data analysis.
| SKU | Unavailable |
| ISBN 13 | 9783319890791 |
| ISBN 10 | 3319890794 |
| Title | Topological Data Analysis for Scientific Visualization |
| Author | Julien Tierny |
| Series | Mathematics And Visualization |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2019-06-04 |
| Number of pages | 150 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |