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Topological Methods in Data Analysis and Visualization III

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Cover of 'Topological Methods in Data Analysis and Visualization III'

Table of Contents

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    Book Overview
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    Chapter 1 Robust Detection of Singularities in Vector Fields
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    Chapter 2 Interpreting Feature Tracking Through the Lens of Robustness
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    Chapter 3 Simplification of Morse Decompositions Using Morse Set Mergers
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    Chapter 4 Toward the Extraction of Saddle Periodic Orbits
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    Chapter 5 Computational Topology via Functional Programming: A Baseline Analysis
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    Chapter 6 Distributed Contour Trees
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    Chapter 7 Clear and Compress: Computing Persistent Homology in Chunks
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    Chapter 8 Parallel Computation of Nearly Recurrent Components of Piecewise Constant Vector Fields
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    Chapter 9 Notes on the Simplification of the Morse-Smale Complex
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    Chapter 10 Measuring the Distance Between Merge Trees
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    Chapter 11 Topological Integrity for Dynamic Spline Models During Visualization of Big Data
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    Chapter 12 A Comparison of Finite-Time and Finite-Size Lyapunov Exponents
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    Chapter 13 Development of an Efficient and Flexible Pipeline for Lagrangian Coherent Structure Computation
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    Chapter 14 Topological Features in Time-Dependent Advection-Diffusion Flow
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    Chapter 15 Definition, Extraction, and Validation of Pore Structures in Porous Materials
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    Chapter 16 Visualization of Two-Dimensional Symmetric Positive Definite Tensor Fields Using the Heat Kernel Signature
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    Chapter 17 Topological Features in Glyph-Based Corotation Visualization
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Title
Topological Methods in Data Analysis and Visualization III
Published by
Springer International Publishing, May 2014
DOI 10.1007/978-3-319-04099-8
ISBNs
978-3-31-904098-1, 978-3-31-904099-8, 978-3-31-938165-7
Editors

Bremer, Peer-Timo, Hotz, Ingrid, Pascucci, Valerio, Peikert, Ronald

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