The school is designed to train on linear as well as nonlinear multilevel and multigrid methods including domain decomposition methods for linear elliptic problems, (recursive) trust-region methods and their application to minimization problems and their parallelization in view of exascale architectures.

 

Available Material

Linear Systems and Krylov Subspace Methods

Monte-Carlo Methods

Multigrid Methods

Uncertainty Quantification

Communication/Awareness

Condition, Stability and Regularization

Eigenvectors and Singular Vectors