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Index
Cover
Frontmatter
1. Large-Scale Data Analysis: In-Situ and Distributed Analysis
A Distributed-Memory Algorithm for Connected Components Labeling of Simulation Data
In-Situ Visualization in Computational Fluid Dynamics Using Open-Source tools: Integration of Catalyst into Code_Saturne
Sublinear Algorithms for Extreme-Scale Data Analysis
2. Large-Scale Data Analysis: Efficient Representation of Large Functions
Optimal General Simplification of Scalar Fields on Surfaces
Piecewise Polynomial Monotonic Interpolation of 2D Gridded Data
Shape Analysis and Description Using Real Functions
3. Multi-Variate Data Analysis: Structural Techniques
3D Symmetric Tensor Fields: What We Know and Where To Go Next
A Comparison of Pareto Sets and Jacobi Sets
Deformations Preserving Gauss Curvature
4. Multi-Variate Data Analysis: Classification and Visualization of Vector Fields
Lyapunov Time for 2D Lagrangian Visualization
Geometric Algebra for Vector Field Analysis and Visualization: Mathematical Settings, Overview and Applications
Computing Accurate Morse-Smale Complexes from Gradient Vector Fields
5. High-Dimensional Data Analysis: Exploration of High-Dimensional Models
Exercises in High-Dimensional Sampling: Maximal Poisson-Disk Sampling and k-d Darts
Realization of Regular Maps of Large Genus
6. High-Dimensional Data Analysis: Analysis of Large Systems
Polynomial-Time Amoeba Neighborhood Membership and Faster Localized Solving
Slycat Ensemble Analysis of Electrical Circuit Simulations
Backmatter
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