Linear Computational Cost Implicit Variational Splitting Solver with Non-regular Material Data for Parabolic Problems
Computational Science – ICCS 2022(2022)
摘要
We employ a variational splitting for the Crank-Nicolson method and Pennes bioheat equation modeling the heating of the human head as a result of the cellphone antenna radiation. The solution of the system of equations resulting from the 3D discretization of the implicit time integration scheme with the Crank-Nicolson method has
$$\mathcal{O}(N^2)$$
complexity using direct solver, resulting in the exact solution. Iterative solvers (e.g., multi-grid solvers) deliver
$$\mathcal{O}(Nk)$$
computational cost resulting in an approximate solution. The alternating direction implicit solver delivers
$$\mathcal{O}(N)$$
complexity instead; it provides the exact solution (as the direct solver). Still, it requires a regular tensor product structure of the material data. In this paper, we propose a method for generalizing the linear computational cost alternating direction implicit solver using the Crank-Nicolson scheme into non-regular material data.
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关键词
Pennes problem, Variational splitting, Implicit method, Non-regular material data, Linear computational cost
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