Preconditioned Krylov subspace methods for solving radiative transfer problems with scattering and reflection
DOI10.1016/j.camwa.2018.09.041zbMath1442.65345OpenAlexW2896577559WikidataQ129106480 ScholiaQ129106480MaRDI QIDQ2203854
Publication date: 2 October 2020
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2018.09.041
Integro-partial differential equations (45K05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Diffraction, scattering (78A45) Numerical solution of discretized equations for boundary value problems involving PDEs (65N22)
Related Items (3)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Efficient numerical methods for radiation in gas turbines
- Spatial approximation of the radiation transport equation using a subgrid-scale finite element method
- Finite element approximation of the radiative transport equation in a medium with piece-wise constant refractive index
- On the use of flux limiters in the discrete ordinates method for 3D radiation calculations in absorbing and scattering media
- A generalized mean intensity approach for the numerical solution of the radiative transfer equation
- High performance computation of radiative transfer equation using the finite element method
- Specular reflection treatment for the 3D radiative transfer equation solved with the discrete ordinates method
- The Idea behind Krylov Methods
- An overview of the Trilinos project
- Solution of Radiative Transfer Problems with Finite Elements
- A parallel adaptive finite element method for the simulation of photon migration with the radiative‐transfer‐based model
- GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems
- Bi-CGSTAB: A Fast and Smoothly Converging Variant of Bi-CG for the Solution of Nonsymmetric Linear Systems
- An Efficient Solution Technique for the Radiative Transfer Equation
- Iterative Solution Methods
- Mixed Finite Element Methods and Applications
- The principle of minimized iterations in the solution of the matrix eigenvalue problem
This page was built for publication: Preconditioned Krylov subspace methods for solving radiative transfer problems with scattering and reflection