The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20651739

Matthias Schlottbom; Jürgen Dölz; Olena Palii (2022): Script underlying the paper "On Robustly Convergent and Efficient Iterative Methods for Anisotropic Radiative Transfer". Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/20651739.v1

Software

• Numerical and Computational Mathematics

acceleration, anisotropic, preconditioning, radiative transfer, Richardson iteration, spherical elements

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Matthias Schlottbom , Jürgen Dölz , Olena Palii

*** Solver for anisotropic radiative transfer in an XY-geometry ***

authors: J. Dölz, O. Palii, M. Schlottbom 

corresponding author: Matthias Schlottbom, University of Twente, m.schlottbom@utwente.nl

*** Scientific reference ***

Jürgen Dölz, Olena Palii, Matthias Schlottbom

On robustly convergent and efficient iterative methods for anisotropic radiative transfer. 

Journal of Scientific Computing 90 (94), 2022. 

_{https://doi.org/10.1007/s10915-021-01757-9}

When using this code, cite that paper.

*** Description ***

For using the code, unzip the repository and run solve.m. 

In lines 4-12, there are parameters regarding the solver and meshes used.

In line 51, a function is called that specifies the optical parameters.

• 2022-08-31 first online, published, posted

4TU.ResearchData

zip, "matlab scripts"

On Robustly Convergent and Efficient Iterative Methods for Anisotropic Radiative Transfer

University of Twente, Faculty of Electrical Engineering, Mathematics and computer Science (EEMCS), Mathematics of Computational Science (MACS);
University of Bonn, Institute for Numerical Simulation, Germany