The event will be a 3 day Workshop and Advanced School.

Day 1 will focus on the state-of-the-art numerical methods for the computation solution of eigenvalue problems.

The goal is to cover topics on direct methods, Krylov-type methods and Davidson-type methods. Preconditioners, techniques for manipulation of sparse matrices, and nonlinear eigenvalue problems also are addressed.

Day 2: will be devoted to hands-on sessions.

The goal is to introduce the attendees to a set of numerical libraries for the efficient computation of eigenvalue problems and to show how to use them on a parallel computer. The participants will have the opportunity to interact with the lecturer and use libraries on a parallel computer to solve prescribed and well-documented exercises. Two sessions are planned: the first will focus on the sparse case where the SLEPc (Scalable Library for Eigenvalue Problem Computations) library will be presented in detail, the second will be dedicated to the solution of large and dense (or band) eigenvalue problems with ScaLAPACK (Scalable Linear Algebra PACKage).

Day 3: will be dedicated to application problems and new trends on methods to solve real life applications.

The goal is to provide the audience with a sample of real problems, new trends, and challenging tasks that practitioners in the field are currently dealing with or that will have be attacked in a near future.