Topological Methods in Data Analysis and V...

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Beschreibung

This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nyköping, Sweden. The workshop regularly gathers some of the world¿s leading experts in this field. Thereby, it provides a forum for discussions on the latest advances in the field with a focus on finding practical solutions to open problems in topological data analysis for visualization. The contributions provide introductory and novel research articles including new concepts for the analysis of multivariate and time-dependent data, robust computational approaches for the extraction and approximations of topological structures with theoretical guarantees, and applications of topological scalar and vector field analysis for visualization. The applications span a wide range of scientific areas comprising climate science, material sciences, fluid dynamics, and astronomy. In addition, community efforts with respect to joint software development are reported and discussed.

Zusammenfassung

Covers the full range of cutting-edge research in the sector

Features work by the most prominent and respected researchers

Contains papers on the latest developments including fast homology computation

Inhaltsverzeichnis

Scalar Field Topology-Algorithms and Applications.- W-Structures in Contour Trees.- Treemap Based Exploration of Merge Trees.- Notes on Percolation Analysis of Sampled Scalar Fields.- Distributed Task-Parallel Topology-Controlled Volume Rendering.- Topology-Based Tracking of Multi-Center Cyclones.- Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes.- Topological Methods in Complex Fields-Flow Fields, Tensor Fields, and Multi-¿elds.- Objective Finite-Time Flow Topology from Flowmap Expansion and Contraction.- Coreline Criteria for Inertial Particle Motion.- Implicit Visualization of 2D Vector Field Topology for Periodic Orbit Detection.- Visually Evaluating Topological Equivalence of Bounded Bivariate Fields.- Topological Feature Search in Time-Varying Multi¿eld Data.- Tensor Fields for Data Extraction from Chart Images: Bar Charts, Histograms, and Scatter Plots.- Topology for Geometric Data.- A Fast Approximate Skeleton with Guarantees for Any Cloud of Points in a Euclidean Space.- Topologically Robust B-Spline Reconstruction of Fibers from 3D Images.- Introduction to Vector Field Topology.- An Overview of the Topology ToolKit.- Implementing Persistence-Based Clustering of Point Clouds in the Topology ToolKit.- TopoInVis TTK Hackathon: Experiences, Lessons Learned, and Perspectives.

Erscheinungsjahr:	2021
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Seiten:	388
Reihe:	Mathematics and Visualization
Inhalt:	xi 373 S. 22 s/w Illustr. 164 farbige Illustr. 373 p. 186 illus. 164 illus. in color.
ISBN-13:	9783030834999
ISBN-10:	3030834999
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Redaktion:	Hotz, Ingrid Tierny, Julien Sadlo, Filip Bin Masood, Talha
Herausgeber:	Ingrid Hotz/Talha Bin Masood/Filip Sadlo et al
Auflage:	1st ed. 2021
Hersteller:	Springer International Publishing Mathematics and Visualization
Maße:	241 x 160 x 27 mm
Von/Mit:	Ingrid Hotz (u. a.)
Erscheinungsdatum:	29.09.2021
Gewicht:	0,746 kg

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