This research school features lectures of the world-leading experts that have driven recent developments on structure and geometry in matrix analysis and computations. The participants of the school will benefit from being trained at the forefront of research on structured matrix and geometry-based algorithms, empowering them to make contributions to the state-of-the-art. Structure is central to matrix computations. lt often reflects properties of the underlying application, such as symmetries, and redundancy introduced during linearization or discretization processes. The exploitation of structure is often mandatory in numerical algorithms, not only to attain efficiency but also to avoid that roundoff and other errors lead to physically meaningless or spurious solutions. During the last decade significant progress has been made in this area in the context of solving polynomial systems, eigenvalue problems, and nonlinear matrix equations as well as in the design of algorithms that build upon the geometry of non li near structures.
Official language of the school: English