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

Maximizing Adaptivity in Hierarchical Topological Models Using Cancellation Trees.- The TOPORRERY: computation and presentation of multi-resolution topology.- Isocontour based Visualization of Time-varying Scalar Fields.- DeBruijn Counting for Visualization Algorithms.- Topological Methods for Visualizing Vortical Flows.- Stability and Computation of Medial Axes - a State-of-the-Art Report.- Local Geodesic Parametrization: an Ant's Perspective.- Tensor-Fields Visualization Using a Fabric-like Texture Applied to Arbitrary Two-dimensional Surfaces.- Flow Visualization via Partial Differential Equations.- Iterative Twofold Line Integral Convolution for Texture-Based Vector Field Visualization.- Constructing 3D Elliptical Gaussians for Irregular Data.- From Sphere Packing to the Theory of Optimal Lattice Sampling.- Reducing Interpolation Artifacts by Globally Fairing Contours.- Time- and Space-efficient Error Calculation for Multiresolution Direct Volume Rendering.- Massive Data Visualization: A Survey.- Compression and Occlusion Culling for Fast Isosurface Extraction from Massive Datasets.- Volume Visualization of Multiple Alignment of Large Genomic DNA.- Model-based Visualization - Computing Perceptually Optimal Visualizations.