Sparse Surface Speed Evaluation on a Dynamic Three-Dimensional Surface Using an Iterative Partitioning Scheme

@inproceedings{Manstetten2018SparseSS,
  title={Sparse Surface Speed Evaluation on a Dynamic Three-Dimensional Surface Using an Iterative Partitioning Scheme},
  author={Paul Manstetten and Lukas Gnam and Andreas H{\"o}ssinger and Siegfried Selberherr and Josef Weinbub},
  booktitle={ICCS},
  year={2018}
}
We focus on a surface evolution problem where the local surface speed depends on a computationally expensive scalar function with non-local properties. The local surface speed must be re-evaluated in each time step, even for non-moving parts of the surface, due to possibly changed properties in remote regions of the simulation domain. We present a method to evaluate the surface speed only on a sparse set of points to reduce the computational effort. This sparse set of points is generated… 

Accelerating Flux Calculations Using Sparse Sampling †

TLDR
A method to enhance the performance of the re-evaluation step by calculating the particle flux only on a subset of the surface elements using an advanced multi-material iterative partitioning scheme, taking local flux differences as well as geometrical variations into account.

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