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A Sparse Hierarchical hp-Finite Element Method on Disks and Annuli
Ioannis P A Papadopoulos1, Sheehan Olver2
1Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany.
A new sparse hierarchical hp-finite element method (hp-FEM) efficiently solves the Helmholtz equation on disk and annulus domains. This method handles complex coefficients and discontinuities, enabling faster computations.
Area of Science:
- Computational Mathematics
- Numerical Analysis
- Partial Differential Equations
Background:
- The Helmholtz equation is crucial in wave propagation problems.
- Solving Helmholtz equations with variable coefficients and complex geometries is computationally demanding.
- Existing methods often struggle with discontinuities and anisotropic properties.
Purpose of the Study:
- To develop an efficient and robust numerical method for the Helmholtz equation.
- To handle variable coefficients, radial discontinuities, and anisotropic properties.
- To achieve optimal complexity factorization and quasi-optimal solvers.
Main Methods:
- Sparse hierarchical hp-finite element method (hp-FEM) on disk/annulus domains.
- Preservation of Fourier mode decoupling for rotationally invariant operators.
- Block diagonal mass and stiffness matrices with optimal complexity factorization.
- Handling of radial discontinuities and anisotropic coefficients.
Main Results:
- The hp-FEM yields sparse matrices with a pattern independent of discretization order.
- The method effectively handles radial discontinuities in source terms and coefficients.
- Rotationally anisotropic coefficients approximated by polynomials also lead to sparse systems.
- Quasi-optimal solutions are achieved using the Alternating Direction Implicit (ADI) algorithm.
Conclusions:
- The developed sparse hp-FEM offers an efficient solution for the Helmholtz equation.
- The method demonstrates robustness in handling challenging coefficient variations and discontinuities.
- The approach is extendable to 3D domains and related equations like the Schrödinger equation.
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