General Information
The focus of this on-site course is on modern iterative solvers for large linear systems of equations. Thereby, beside classical schemes and fundamentals of multigrid techniques different modern Krylov subspace methods (CG, GMRES, BiCGSTAB ...) as well as highly efficient preconditioning techniques are presented in the context of real life applications. Hands-on sessions (MATLAB and GNU Octave respectively) will allow users to immediately test and understand the basic constructs of iterative solvers. This course is co-organised by LRZ and HLRS.
Topics covered include:
- Consistency and Convergence
- Jacobi Method
- Gauß-Seidel Method
- Relaxation Schemes
- Method of Steepest Descent
- Method of Conjugate Gradients
- Introduction to Multigrid Methods
- GMRES and BICG
- Variants of BICG
- Preconditioning
Prerequisites
- Basics of linear algebra
- Basic knowledge of MATLAB or GNU Octave
Fees
Tiered fees from 0 EUR (GCS centres) to 505 EUR (non-academic participants), with reduced rates for students and academia.
Details of the course can be found here: Iterative Solvers for Linear Systems
Fees
Tiered fees from 0 EUR (GCS centres) to 505 EUR (non-academic participants), with reduced rates for students and academia.