Recent Advances in Numerical Linear Algebra for PDEs, Optimization, and Data Assimilation

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Recent Advances in Numerical Linear Algebra for PDEs, Optimization, and Data Assimilation

 11 - 15 Apr 2022
 ICMS, Bayes Centre, 47 Potterrow Edinburgh and online

Scientific Organisers:

  • John Pearson, University of Edinburgh
  • Jemima Tabeart, University of Edinburgh

 

High-dimensional problems from numerical linear algebra underpin a wide variety of mathematical and scientific applications, including the solution of large-scale systems arising from PDEs, optimization problems, and data assimilation for weather forecasting. In this workshop the fast and robust solution of linear systems that result from such problems is considered. Presentations will discuss the use of widely-applicable numerical linear algebra techniques as well as problem-specific tools, in order to design efficient implementations and algorithms to exploit modern computer architectures.

This workshop will consist of presentations from a number of leading researchers from academia and industry, aimed to encourage an exchange of ideas to further advance the state of the art in the application of numerical linear algebra to PDEs, optimization, and data assimilation.

Arrangements

To be announced