Scientific Organiser
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John Pearson, University of Edinburgh
About:
The accurate numerical solution of partial differential equations and optimization problems, including the use of linear algebra techniques for solving the resulting matrix systems, presents vast challenges for researchers in applied mathematics and engineering. In this workshop, we considered the fast and efficient discretization and solution of PDEs arising from a variety of scientific applications, including optimization problems where PDEs act as constraints. This workshop consisted of presentations from a leading researchers to encourage an exchange of ideas to further advance the state of the art in the numerical solution of PDEs, applied linear algebra, and computational optimization.
Speakers
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Silvia Gazzola, University of Bath - Recent Advances in Iterative Regularization Methods
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Ben Goddard, University of Edinburgh - Pseudospectral Methods for Integro-PDEs
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Stefan Güttel, University of Manchester - Compressing Variable-Coefficient Exterior Helmholtz Problems via RKFIT
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John Pearson, University of Edinburgh
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Margherita Porcelli, Università degli Studi di Firenze
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Tyrone Rees, Rutherford Appleton Laboratory
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Carola Schönlieb, University of Cambridge - Bilevel Optimisation with Non-Smooth Lower-Level Problems
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Jennifer Scott, Rutherford Appleton Laboratory and University of Reading - The Challenge of Large-Scale Linear Least-Squares Problems
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Zdenek Strakos, Charles University in Prague - Decomposition into Subspaces and Operator Preconditioning
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Walter Zulehner, Johannes Kepler University Linz - On a New Mixed Formulation of Kirchhoff and Reissner-Mindlin Plates
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Andy Wathen, University of Oxford - Preconditioning for Nonsymmetric Problems