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Topological Methods in Data Analysis and Visualization IV

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

Table of Contents

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    Book Overview
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    Chapter 1 Theory of Singular Fibers and Reeb Spaces for Visualization
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    Chapter 2 Topology-Based Analysis for Multimodal Atmospheric Data of Volcano Eruptions
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    Chapter 3 A Comparison of Joint Contour Nets and Pareto Sets
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    Chapter 4 Visualizing Topological Properties of the Search Landscape of Combinatorial Optimization Problems
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    Chapter 5 Computing and Visualizing Time-Varying Merge Trees for High-Dimensional Data
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    Chapter 6 Agreement Analysis of Quality Measures for Dimensionality Reduction
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    Chapter 7 Fast Similarity Search in Scalar Fields using Merging Histograms
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    Chapter 8 Morse-Smale Analysis of Ion Diffusion in Ab Initio Battery Materials Simulations
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    Chapter 9 Piecewise Polynomial Reconstruction of Scalar Fields from Simplified Morse-Smale Complexes
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    Chapter 10 Topological Extraction of Escape Maps in Divergence-Free Vector Fields
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    Chapter 11 Compute and Visualize Discontinuity Among Neighboring Integral Curves of 2D Vector Fields
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    Chapter 12 Decomposition of Vector Fields Beyond Problems of First Order and Their Applications
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    Chapter 13 Maximum Number of Degenerate Curves in 3D Linear Tensor Fields
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    Chapter 14 Hierarchical Watershed Ridges for Visualizing Lagrangian Coherent Structures
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    Chapter 15 Finite Time Steady 2D Vector Field Topology
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    Chapter 16 Comparing Finite-Time Lyapunov Exponents in Approximated Vector Fields
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    Chapter 17 Transfer Operator-Based Extraction of Coherent Features on Surfaces
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    Chapter 18 ADAPT: Adaptive Thresholds for Feature Extraction
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    Chapter 19 Efficient Software for Programmable Visual Analysis Using Morse-Smale Complexes
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    Chapter 20 Notes on the Distributed Computation of Merge Trees on CW-Complexes
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    Chapter 21 Computing Invariants of Knotted Graphs Given by Sequences of Points in 3-Dimensional Space
Attention for Chapter 19: Efficient Software for Programmable Visual Analysis Using Morse-Smale Complexes
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Chapter title
Efficient Software for Programmable Visual Analysis Using Morse-Smale Complexes
Chapter number 19
Book title
Topological Methods in Data Analysis and Visualization IV
Published by
Springer, Cham, May 2015
DOI 10.1007/978-3-319-44684-4_19
Book ISBNs
978-3-31-944682-0, 978-3-31-944684-4
Authors

Nithin Shivashankar, Vijay Natarajan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Professor > Associate Professor 2 29%
Student > Ph. D. Student 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 3 43%
Mathematics 1 14%
Unknown 3 43%