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Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration

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Table of Contents

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    Book Overview
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    Chapter 1 Maximizing Adaptivity in Hierarchical Topological Models Using Cancellation Trees
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    Chapter 2 The TOPORRERY: computation and presentation of multi-resolution topology
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    Chapter 3 Isocontour based Visualization of Time-varying Scalar Fields
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    Chapter 4 DeBruijn Counting for Visualization Algorithms
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    Chapter 5 Topological Methods for Visualizing Vortical Flows
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    Chapter 6 Stability and Computation of Medial Axes - a State-of-the-Art Report
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    Chapter 7 Local Geodesic Parametrization: an Ant’s Perspective
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    Chapter 8 Tensor-Fields Visualization Using a Fabric-like Texture Applied to Arbitrary Two-dimensional Surfaces
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    Chapter 9 Flow Visualization via Partial Differential Equations
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    Chapter 10 Iterative Twofold Line Integral Convolution for Texture-Based Vector Field Visualization
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    Chapter 11 Constructing 3D Elliptical Gaussians for Irregular Data
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    Chapter 12 From Sphere Packing to the Theory of Optimal Lattice Sampling
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    Chapter 13 Reducing Interpolation Artifacts by Globally Fairing Contours
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    Chapter 14 Time- and Space-efficient Error Calculation for Multiresolution Direct Volume Rendering
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    Chapter 15 Massive Data Visualization: A Survey
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    Chapter 16 Compression and Occlusion Culling for Fast Isosurface Extraction from Massive Datasets
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    Chapter 17 Volume Visualization of Multiple Alignment of Large Genomic DNA
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    Chapter 18 Model-based Visualization - Computing Perceptually Optimal Visualizations
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31 Mendeley
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Title
Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
Published by
Springer, Berlin, Heidelberg, June 2009
DOI 10.1007/b106657
ISBNs
978-3-54-025076-0, 978-3-54-049926-8, 978-3-64-206414-2
Editors

Torsten Möller, Bernd Hamann, Robert D. Russell

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 29%
Researcher 8 26%
Student > Master 6 19%
Professor > Associate Professor 3 10%
Student > Doctoral Student 2 6%
Other 3 10%
Readers by discipline Count As %
Engineering 7 23%
Computer Science 6 19%
Unspecified 4 13%
Agricultural and Biological Sciences 3 10%
Psychology 2 6%
Other 9 29%