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Volume 22, Issue 1
Implicit Asymptotic Preserving Method for Linear Transport Equations

Qin Li & Li Wang

Commun. Comput. Phys., 22 (2017), pp. 157-181.

Published online: 2019-10

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  • Abstract

The computation of the radiative transfer equation is expensive mainly due to two stiff terms: the transport term and the collision operator. The stiffness in the former comes from the fact that particles (such as photons) travel at the speed of light, while that in the latter is due to the strong scattering in the optically thick region. We study the fully implicit scheme for this equation to account for the stiffness. The main challenge in the implicit treatment is the coupling between the spacial and angular coordinates that requires the large size of the to-be-inverted matrix, which is also ill-conditioned and not necessarily symmetric. Our main idea is to utilize the spectral structure of the ill-conditioned matrix to construct a pre-conditioner, which, along with an exquisite split of the spatial and angular dependence, significantly improve the condition number and allows a matrix-free treatment. We also design a fast solver to compute this pre-conditioner explicitly in advance. Our method is shown to be efficient in both diffusive and free streaming limit, and the computational cost is comparable to the state-of-the-art method. Various examples including anisotropic scattering and two-dimensional problems are provided to validate the effectiveness of our method.

  • AMS Subject Headings

65M06, 65M30, 65F08, 65F35

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address

qinli@math.wisc.edu (Qin Li)

lwang46@buffalo.edu (Li Wang)

  • BibTex
  • RIS
  • TXT
@Article{CiCP-22-157, author = {Li , Qin and Wang , Li}, title = {Implicit Asymptotic Preserving Method for Linear Transport Equations}, journal = {Communications in Computational Physics}, year = {2019}, volume = {22}, number = {1}, pages = {157--181}, abstract = {

The computation of the radiative transfer equation is expensive mainly due to two stiff terms: the transport term and the collision operator. The stiffness in the former comes from the fact that particles (such as photons) travel at the speed of light, while that in the latter is due to the strong scattering in the optically thick region. We study the fully implicit scheme for this equation to account for the stiffness. The main challenge in the implicit treatment is the coupling between the spacial and angular coordinates that requires the large size of the to-be-inverted matrix, which is also ill-conditioned and not necessarily symmetric. Our main idea is to utilize the spectral structure of the ill-conditioned matrix to construct a pre-conditioner, which, along with an exquisite split of the spatial and angular dependence, significantly improve the condition number and allows a matrix-free treatment. We also design a fast solver to compute this pre-conditioner explicitly in advance. Our method is shown to be efficient in both diffusive and free streaming limit, and the computational cost is comparable to the state-of-the-art method. Various examples including anisotropic scattering and two-dimensional problems are provided to validate the effectiveness of our method.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.OA-2016-0105}, url = {http://global-sci.org/intro/article_detail/cicp/13351.html} }
TY - JOUR T1 - Implicit Asymptotic Preserving Method for Linear Transport Equations AU - Li , Qin AU - Wang , Li JO - Communications in Computational Physics VL - 1 SP - 157 EP - 181 PY - 2019 DA - 2019/10 SN - 22 DO - http://doi.org/10.4208/cicp.OA-2016-0105 UR - https://global-sci.org/intro/article_detail/cicp/13351.html KW - Implicit method, asymptotic preserving, pre-conditioner, diffusive regime, free streaming limit. AB -

The computation of the radiative transfer equation is expensive mainly due to two stiff terms: the transport term and the collision operator. The stiffness in the former comes from the fact that particles (such as photons) travel at the speed of light, while that in the latter is due to the strong scattering in the optically thick region. We study the fully implicit scheme for this equation to account for the stiffness. The main challenge in the implicit treatment is the coupling between the spacial and angular coordinates that requires the large size of the to-be-inverted matrix, which is also ill-conditioned and not necessarily symmetric. Our main idea is to utilize the spectral structure of the ill-conditioned matrix to construct a pre-conditioner, which, along with an exquisite split of the spatial and angular dependence, significantly improve the condition number and allows a matrix-free treatment. We also design a fast solver to compute this pre-conditioner explicitly in advance. Our method is shown to be efficient in both diffusive and free streaming limit, and the computational cost is comparable to the state-of-the-art method. Various examples including anisotropic scattering and two-dimensional problems are provided to validate the effectiveness of our method.

Qin Li & Li Wang. (2019). Implicit Asymptotic Preserving Method for Linear Transport Equations. Communications in Computational Physics. 22 (1). 157-181. doi:10.4208/cicp.OA-2016-0105
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