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ORCIDTopological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces 2015
- Coral Calero
, Mario Piattini:
Green in Software Engineering. Springer 2015, ISBN 978-3-319-08580-7
Large-Scale Data Analysis: In-Situ and Distributed Analysis
- Cyrus Harrison, Jordan Weiler, Ryan Bleile, Kelly P. Gaither, Hank Childs:
A Distributed-Memory Algorithm for Connected Components Labeling of Simulation Data. 3-19 - Alejandro Ribés, Benjamin Lorendeau, Julien Jomier, Yvan Fournier:
In-Situ Visualization in Computational Fluid Dynamics Using Open-Source tools: Integration of Catalyst into Code_Saturne. 21-37 - C. Seshadhri, Ali Pinar, David C. Thompson, Janine C. Bennett:
Sublinear Algorithms for Extreme-Scale Data Analysis. 39-54
Large-Scale Data Analysis: Efficient Representation of Large Functions
- Julien Tierny, David Günther, Valerio Pascucci:
Optimal General Simplification of Scalar Fields on Surfaces. 57-71 - Léo Allemand-Giorgis, Georges-Pierre Bonneau, Stefanie Hahmann, Fabien Vivodtzev:
Piecewise Polynomial Monotonic Interpolation of 2D Gridded Data. 73-91 - Silvia Biasotti, Andrea Cerri, Michela Spagnuolo, Bianca Falcidieno:
Shape Analysis and Description Using Real Functions. 93-107
Multi-Variate Data Analysis: Structural Techniques
- Eugene Zhang, Yue Zhang:
3D Symmetric Tensor Fields: What We Know and Where To Go Next. 111-124 - Lars Huettenberger, Christoph Garth:
A Comparison of Pareto Sets and Jacobi Sets. 125-141 - Anne Berres, Hans Hagen, Stefanie Hahmann:
Deformations Preserving Gauss Curvature. 143-163
Multi-Variate Data Analysis: Classification and Visualization of Vector Fields
- Filip Sadlo:
Lyapunov Time for 2D Lagrangian Visualization. 167-181 - Chantal Oberson Ausoni, Pascal Frey:
Geometric Algebra for Vector Field Analysis and Visualization: Mathematical Settings, Overview and Applications. 183-203 - Attila Gyulassy, Harsh Bhatia, Peer-Timo Bremer, Valerio Pascucci:
Computing Accurate Morse-Smale Complexes from Gradient Vector Fields. 205-218
High-Dimensional Data Analysis: Exploration of High-Dimensional Models
- Mohamed S. Ebeida, Scott A. Mitchell, Anjul Patney, Andrew A. Davidson, Stanley Tzeng, Muhammad A. Awad, Ahmed H. Mahmoud, John D. Owens:
Exercises in High-Dimensional Sampling: Maximal Poisson-Disk Sampling and k-d Darts. 221-238 - Faniry H. Razafindrazaka, Konrad Polthier:
Realization of Regular Maps of Large Genus. 239-252
High-Dimensional Data Analysis: Analysis of Large Systems
- Eleanor Anthony, Sheridan Grant, Peter Gritzmann, J. Maurice Rojas:
Polynomial-Time Amoeba Neighborhood Membership and Faster Localized Solving. 255-277 - Patricia J. Crossno, Timothy M. Shead, Milosz A. Sielicki, Warren L. Hunt, Shawn Martin, Ming-yu Hsieh:
Slycat Ensemble Analysis of Electrical Circuit Simulations. 279-294
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