fast direct solvers
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2017 ◽  
Vol 316 ◽  
pp. 586-605 ◽  
Author(s):  
Daniel Garcia ◽  
David Pardo ◽  
Lisandro Dalcin ◽  
Maciej Paszyński ◽  
Nathan Collier ◽  
...  

2013 ◽  
Vol 14 (4) ◽  
pp. 1103-1119 ◽  
Author(s):  
H. Vitoshkin ◽  
A. Yu. Gelfgat

AbstractFactorization of the incompressible Stokes operator linking pressure and velocity is revisited. The main purpose is to use the inverse of the Stokes operator with a large time step as a preconditioner for Newton and Arnoldi iterations applied to computation of steady three-dimensional flows and study of their stability. It is shown that the Stokes operator can be inversed within an acceptable computational effort. This inverse includes fast direct inverses of several Helmholtz operators and iterative inverse of the pressure matrix. It is shown, additionally, that fast direct solvers can be attractive for the inverse of the Helmholtz and Laplace operators on fine grids and at large Reynolds numbers, as well as for other problems where convergence of iterative methods slows down. Implementation of the Stokes operator inverse to time-stepping-based formulation of the Newton and Arnoldi iterations is discussed.


2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Han Guo ◽  
Jun Hu ◽  
Hanru Shao ◽  
Zaiping Nie

Hierarchical (H-) matrices method is a general mathematical framework providing a highly compact representation and efficient numerical arithmetic. When applied in integral-equation- (IE-) based computational electromagnetics,H-matrices can be regarded as a fast algorithm; therefore, both the CPU time and memory requirement are reduced significantly. Its kernel independent feature also makes it suitable for any kind of integral equation. To solveH-matrices system, Krylov iteration methods can be employed with appropriate preconditioners, and direct solvers based on the hierarchical structure ofH-matrices are also available along with high efficiency and accuracy, which is a unique advantage compared to other fast algorithms. In this paper, a novel sparse approximate inverse (SAI) preconditioner in multilevel fashion is proposed to accelerate the convergence rate of Krylov iterations for solvingH-matrices system in electromagnetic applications, and a group of parallel fast direct solvers are developed for dealing with multiple right-hand-side cases. Finally, numerical experiments are given to demonstrate the advantages of the proposed multilevel preconditioner compared to conventional “single level” preconditioners and the practicability of the fast direct solvers for arbitrary complex structures.


2003 ◽  
Vol 48 (3) ◽  
pp. 225-236
Author(s):  
Milan Práger

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