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Introduction to Scientific Computing II

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Presentation on theme: "Introduction to Scientific Computing II"— Presentation transcript:

1 Introduction to Scientific Computing II
Preconditioned Conjugate Gradient Method & Iterative Solvers Overview Dr. Miriam Mehl

2 PCG – Idea convergence rate cg: Solve system M-1Ax=M-1b
better condition number k M-1 easy to apply

3 PCG – Algorithm

4 PCG – Algorithm

5 PCG – Preconditioner (Jacobi) SSOR incomplete Cholesky decomposition
incomplete LU decomposition (algebraic) multigrid

6 Iterative Solvers – Parallelisation
Jacobi inherently parallel

7 Iterative Solvers – Parallelisation
Gauss-Seidel/SOR domain decomposition no equivalent solver!!!

8 Iterative Solvers – Parallelisation
multigrid domain decomposition idle times!!!

9 Iterative Solvers – Parallelisation
cg inherently parallel

10 Iterative Solvers – Overview
efficiency ease of use parallelisation Jacobi - + Gauss-Seidel o SOR multigrid cg


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