Self-Adaptive Density Estimation of Particle Data

DOI10.1137/15M1016308zbMath1348.62276MaRDI QIDQ2830634

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Publication date: 28 October 2016

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

zbMATH Keywords

density estimationsmoothed particle hydrodynamicsVoronoi tessellationcloud in cellnearest grid pointtriangular shaped clouds

Mathematics Subject Classification ID

Density estimation (62G07) Learning and adaptive systems in artificial intelligence (68T05) Computational methods for problems pertaining to mechanics of particles and systems (70-08) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Applications of statistics to physics (62P35) Computational methods for problems pertaining to astronomy and astrophysics (85-08) Visualization algorithms applied to problems in fluid mechanics (76M27)

Uses Software

• CGAL
• CUDA
• Qhull
• ParaView
• VTK
• DTFE
• Parallel netCDF
• Nyx
• HACC

Cites Work

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• Variable kernel density estimation
• Clouds-in-clouds, clouds-in-cells physics for many-body plasma simulation
• Weak gravitational lensing
• Incremental topological flipping works for regular triangulations
• Geometry and Topology for Mesh Generation
• Efficient ray tracing of volume data
• Smoothed particle hydrodynamics: theory and application to non-spherical stars
• The quickhull algorithm for convex hulls

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