Exact non-reflecting boundary conditions
Journal of Computational Physics
Iterative solution methods
QMRPACK: a package of QMR algorithms
ACM Transactions on Mathematical Software (TOMS)
Efficient iterative solution of the three-dimensional Helmholtz equation
Journal of Computational Physics
Run-time parallelization of large FEM analyses with PERMAS
Advances in Engineering Software - Special issue; special issue on large-scale analysis and design on high-performance computers and workstations
A tridiagonal solver for massively parallel computers
Advances in Engineering Software - Special issue; special issue on large-scale analysis and design on high-performance computers and workstations
Applied Numerical Mathematics - Special issue on absorbing boundary conditions
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
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The effectiveness of iterative solution strategies for the three-dimensional high frequency response of fluid-loaded structures formulated by the finite element method is investigated. Element-by-element sparse matrix storage was implemented and combined with the QMR iterative algorithm to solve the computationally intensive complex linear equations. To remedy the ill-conditioning caused by the fine mesh and vastly different spatial scales of the structures and fluid medium, two different preconditioning techniques are studied. The numerical experiments show that the SSOR preconditioner is the most cost efficient strategy though the ILU factorization is generally more effective in reducing the iteration counts. Also, the simple ILU(0) preconditioner is shown to be more efficient and reliable than recently developed ILUT(p, τ) preconditioner.