A non-iterative domain decomposition time integrator for linear wave equations
By: Tim Buchholz, Marlis Hochbruck
Potential Business Impact:
Lets computers solve wave problems faster.
We propose and analyze a non-iterative domain decomposition integrator for the linear acoustic wave equation. The core idea is to combine an implicit Crank-Nicolson step on spatial subdomains with a local prediction step at the subdomain interfaces. This enables parallelization across space while advancing sequentially in time, without requiring iterations at each time step. The method is similar to the methods from Blum, Lisky and Rannacher (1992) or Dawson and Dupont (1992), which have been designed for parabolic problems. Our approach adapts them to the case of the wave equation in a fully discrete setting, using linear finite elements with mass lumping. Compared to explicit schemes, our method permits significantly larger time steps and retains high accuracy. We prove that the resulting method achieves second-order accuracy in time and global convergence of order $\mathcal{O}(h + \tau^2)$ under a CFL-type condition, which depends on the overlap width between subdomains. We conclude with numerical experiments which confirm the theoretical
Similar Papers
A non-iterative domain decomposition time integrator combined with discontinuous Galerkin space discretizations for acoustic wave equations
Numerical Analysis
Makes computer simulations of sound waves faster.
A Domain Decomposition-based Solver for Acoustic Wave propagation in Two-Dimensional Random Media
Computational Engineering, Finance, and Science
Makes sound waves travel through bumpy air.
Domain Decomposition Subspace Neural Network Method for Solving Linear and Nonlinear Partial Differential Equations
Numerical Analysis
Solves hard math problems super accurately and fast.