A Multi-Frequency Helmholtz Solver Based on the WaveHoltz Algorithm
Daniel Appel\"o, Francis Appiah, Jeffrey W. Banks, Cassandra Carrick, William D. Henshaw, Donald W. Schwendeman

TL;DR
This paper introduces the Multi-Frequency WaveHoltz (MFWH) algorithm, an efficient method for computing multiple Helmholtz solutions across different frequencies simultaneously using time-filtered wave equations and Krylov acceleration.
Contribution
The paper extends the WaveHoltz method to handle multiple frequencies at once with a fixed-point iteration and demonstrates $O(N)$ complexity with high-order spatial discretizations.
Findings
MFWH efficiently computes multiple Helmholtz solutions simultaneously.
The method achieves $O(N)$ complexity with multigrid solvers.
Numerical results confirm convergence and accuracy of the approach.
Abstract
We develop and analyze a new approach for simultaneously computing multiple solutions to the Helmholtz equation for different frequencies and different forcing functions. The new Multi-Frequency WaveHoltz (MFWH) algorithm is an extension of the original WaveHoltz method and both are based on time-filtering solutions to an associated wave equation. With MFWH, the different Helmholtz solutions are computed simultaneously by solving a single wave equation combined with multiple time filters. The MFWH algorithm defines a fixed-point iteration which can be accelerated with Krylov methods such as GMRES. The solution of the wave equation can be efficiently solved with either explicit time-stepping or implicit time-stepping using as few as five time-steps per period. When combined with an solver for the implicit equations, such a multigrid, the scheme has an solution cost when the…
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Taxonomy
TopicsElectromagnetic Scattering and Analysis · Underwater Acoustics Research · Soil Moisture and Remote Sensing
