Discretization of boundary integral equations leads, in general, to fully populated complex valued non-Hermitian systems of equations. In this paper we consider the e cient solution of these boundary element systems by preconditioned iterative methods of Krylov subspace type. We devise preconditione
Preconditioning techniques for the solution of the Helmholtz equation by the finite element method
β Scribed by Riyad Kechroud; Azzeddine Soulaimani; Yousef Saad; Shivaraju Gowda
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 175 KB
- Volume
- 65
- Category
- Article
- ISSN
- 0378-4754
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β¦ Synopsis
This paper discusses 2D and 3D solutions of the harmonic Helmholtz equation by finite elements. It begins with a short survey of the absorbing and transparent boundary conditions associated with the DtN technique. The solution of the discretized system by means of a standard Galerkin or Galerkin least-squares (GLS) scheme is obtained by a preconditioned Krylov subspace technique, specifically a preconditioned GMRES iteration. The stabilization parameter associated to GLS is computed using a new formula. Three types of preconditioners: ILUT, ILUTC and ILU0, are tested to enhance convergence.
π SIMILAR VOLUMES
## Abstract One property of the Hopfield neural networks is the monotone minimization of energy as time proceeds. In this article, this property is applied to minimize the energy functions obtained by finite difference techniques of the Helmholtzβequation. The mathematical representation and correl
The extended finite element method enhances the approximation properties of the finite element space by using additional enrichment functions. But the resulting stiffness matrices can become ill-conditioned. In that case iterative solvers need a large number of iterations to obtain an acceptable sol