A unified convergence theory for abstract multigrid or multilevel algorithms, serial and parallel
SIAM Journal on Numerical Analysis
SIAM Journal on Numerical Analysis
First-Order System Least-Squares for the Helmholtz Equation
SIAM Journal on Scientific Computing
Multigrid
SIAM Journal on Scientific Computing
Improved Multiple-Coarsening Methods for Sn Discretizations of the Boltzmann Equation
SIAM Journal on Scientific Computing
Multigrid in energy preconditioner for Krylov solvers
Journal of Computational Physics
Preconditioning of complex symmetric linear systems with applications in optical tomography
Applied Numerical Mathematics
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This paper presents a new multigrid method applied to the most common Sn discretizations (Petrov-Galerkin, diamond-differenced, corner-balanced, and discontinuous Galerkin) of the mono-energetic Boltzmann transport equation in the optically thick and thin regimes, and with strong anisotropic scattering. Unlike methods that use scalar DSA diffusion preconditioners for the source iteration, this multigrid method is applied directly to an integral equation for the scalar flux. Thus, unlike the former methods that apply a multigrid strategy to the scalar DSA diffusion operator, this method applies a multigrid strategy to the integral source iteration operator, which is an operator for 5 independent variables in spatial three dimensions (3-d), 3 in space and 2 in angle, and 4 independent variables in spatial 2-d (2 in space and 2 in angle). The core smoother of this multigrid method involves applications of the integral operator. Since the kernel of this integral operator involves the transport sweeps, applying this integral operator requires a transport sweep (an inversion of an upper triangular matrix) for each of the angles used. As the equation is in 5-space or 4-space, the multigrid approach in this paper coarsens in both angle and space, effecting efficient applications of the coarse integral operators. Although each $V$-cycle of this method is more expensive than a $V$-cycle for the DSA preconditioner, since the DSA equation does not have angular dependence, the overall computational efficiency is about the same for problems where DSA preconditioning is effective. This new method also appears to be more robust over all parameter regimes than DSA approaches. Moreover, this new method is applicable to a variety of Sn spatial discretizations, to problems involving a combination of optically thick and thin regimes, and more importantly, to problems with anisotropic scattering cross-sections, all of which DSA approaches perform poorly or are not applicable at all. This multigrid approach is most effective in neutron scattering applications, where the total cross-section coefficient $\sigma_{t}$ and spatial meshsize $h$ satisfy $\sigma_{t}h\approx1$. For this case, coarsening can be done aggressively. For problems with $\sigma_{t}h\approx10$, this multigrid scheme requires a moderately coarsened multiple-coarsening scheme. An even slow coarsening, an angle semicoarsening, is required for problems with $\sigma_{t}h$ ranges between 100 and 1000, which occur in high-energy photon applications.