Robert Elsässer from HiDALGO will give a guest lecture, titled "Spectral methods to compute "eigenvalue histograms" (estimates of eigenvalue frequencies) for graph Laplacians and other LA apps that rely on iterative solvers (e.g in PETCs).", during the Iterative Solvers for Linear Systems course at HLRS on March 8-10, 2021.
More info here and registration is here!
The focus of the 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 provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves. It is organized by HLRS, IAG, and Uni. Kassel.
The guest lecture on Day 2 is offered in collaboration with HiDALGO, the EU Centre of Excellence for Global Challenges. The method exposed is used in the HiDALGO Social Network Pilot.