A brief overview of PDEs on graphs

Recent years have seen a lot of interest in partial differential equations discretised on arbitrary network structures. Especially driven by applications in data analysis and image processing, models such as the graph-based Ginzburg-Landau functional and variations on it have been used for processes such as data clustering, image segmentation, and maximum-cut computations. In this talk I will give a brief overview of some of the theory and applications in this area.

• Speaker: Yves van Gennip (University of Nottingham)
• Thursday 01 March 2018, 15:00–16:00
• Venue: MR 14.
• Series: Applied and Computational Analysis; organiser: Matthew Thorpe.