Abstract
Discretization of (linearized) convection-diusion-reaction problems yields
a large and sparse non symmetric linear system of equations,
Ax = b: (1)
In this work, we compare the computational behavior of the Induced Dimension
Reduction method (IDR(s)) [10], with other short-recurrences Krylov methods,
specically the Bi-Conjugate Gradient Method (Bi-CG) [1], restarted Generalized
Minimal Residual (GMRES(m)) [4], and Bi-Conjugate Gradient Stabilized method
(Bi-CGSTAB) [11].
a large and sparse non symmetric linear system of equations,
Ax = b: (1)
In this work, we compare the computational behavior of the Induced Dimension
Reduction method (IDR(s)) [10], with other short-recurrences Krylov methods,
specically the Bi-Conjugate Gradient Method (Bi-CG) [1], restarted Generalized
Minimal Residual (GMRES(m)) [4], and Bi-Conjugate Gradient Stabilized method
(Bi-CGSTAB) [11].
| Original language | English |
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| Place of Publication | Delft |
| Publisher | Delft University of Technology |
| Number of pages | 8 |
| Publication status | Published - 2016 |
Publication series
| Name | |
|---|---|
| Publisher | TU Delft |
| Name | Reports of the Delft Institute of Applied Mathematics |
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| Volume | 16-02 |
| ISSN (Print) | 1389-6520 |