David Silvester

David Silvester is a Chair in Numerical Analysis at The University of Manchester, Department of Mathematics. His research interests include Numerical Analysis and Computational Science & Engineering. He is affiliated with the Digital Futures Institute for Data Science and AI and contributes to the Sustainable Development Goal 9, Industry, Innovation, and Infrastructure. His work involves topics such as PDEs, Stochastics, and Incompressible Flow. He has authored numerous research outputs, including articles in journals such as Journal of Computational Physics and NUMERISCHE MATHEMATIK. He is also involved in various academic activities, including invited talks and editorial work.

David J. Silvester is a Professor of Mathematics at the University of Manchester, specializing in Numerical Analysis and Scientific Computing. His research focuses on developing and analyzing numerical methods for solving complex problems in fluid dynamics, particularly incompressible flow. He has contributed significantly to the development of efficient iterative solvers and preconditioning techniques for stabilised Stokes and Navier–Stokes systems. His work includes the creation of the IFISS toolbox, a computational framework for investigating incompressible flow problems. Silvester's research emphasizes the design of robust and efficient algorithms for large-scale scientific computing applications.