Advances in Linear Algebra and Huge-Scale Optimization

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Advances in Linear Algebra and Huge-Scale Optimization

 01 - 02 Jul 2019

ICMS, The Bayes Centre, 47 Potterrow Edinburgh

  • Jacek Gondzio, University of Edinburgh
  • John Pearson, University of Edinburgh

About:

It is well-established that bespoke numerical linear algebra techniques, including the design of direct and iterative methods, form an essential component of solvers for huge-scale problems in the fields of optimization, PDEs and their applications, and many others. In this workshop we focused on the fast and robust solution of matrix systems arising from a range of mathematical applications, and new challenges relating to modern optimization problems.

The meeting consisted of presentations from a number of leading researchers in optimization and numerical linear algebra, and aimed to encourage an exchange of ideas to further advance the state-of-the-art in these fields.

Programme:

Luca Bergamaschi, Università degli Studi di Padova
Jordi Castro, Universitat Politècnica de Catalunya
Daniela di Serafino, Università degli Studi della Campania
Anders Forsgren, KTH Royal Institute of Technology
Daniel Loghin, University of Birmingham
Benedetta Morini, Università di Firenze
Miroslav Rozložník, Czech Academy of Sciences
Ekkehard Sachs, Universität Trier
David Silvester, University of Manchester