Solving the 3D High-Frequency Helmholtz Equation using Contour Integration and Polynomial Preconditioning
This work addresses the computational bottleneck of solving large-scale 3D Helmholtz problems, which are critical in wave propagation simulations.
The authors propose an iterative method for solving the 3D high-frequency Helmholtz equation that reduces the number of matrix-vector products to O(n^{1/3}) for high accuracy, where n is the matrix size.
We propose an iterative solution method for the 3D high-frequency Helmholtz equation that exploits a contour integral formulation of spectral projectors. In this framework, the solution in certain invariant subspaces is approximated by solving complex-shifted linear systems, resulting in faster GMRES iterations due to the restricted spectrum. The shifted systems are solved by exploiting a polynomial fixed-point iteration, which is a robust scheme even if the magnitude of the shift is small. Numerical tests in 3D indicate that $O(n^{1/3})$ matrix-vector products are needed to solve a high-frequency problem with a matrix size $n$ with high accuracy. The method has a small storage requirement, can be applied to both dense and sparse linear systems, and is highly parallelizable.