Advances in Linear Algebra and Huge-Scale Optimization

1-2 July 2019

ICMS, The Bayes Centre, 47 Potterrow, Edinburgh EH8 9BT

Scientific Organisers

  • John Pearson, University of Edinburgh
  • Jacek Gondzio, University of Edinburgh
  • Luca Bergamaschi, Università degli Studi di Padova
  • Ángeles Martínez, Università degli Studi di Padova

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 focus 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 will consist of presentations from a number of leading researchers in optimization and numerical linear algebra, aiming to encourage an exchange of ideas to further advance the state-of-the-art in these fields.

Invited speakers

  • 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
  • Jemima Tabeart, University of Reading
  • Arrangements

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