Search Results for author: David A. Ham

Found 3 papers, 2 papers with code

Physics-driven machine learning models coupling PyTorch and Firedrake

1 code implementation • 13 Mar 2023 • Nacime Bouziani, David A. Ham

Partial differential equations (PDEs) are central to describing and modelling complex physical systems that arise in many disciplines across science and engineering.

Inductive Bias

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UFL Dual Spaces, a proposal

no code implementations • 13 Jan 2021 • David A. Ham

This document sketches the relevant mathematical areas and proposes changes to the UFL language to support dual spaces as first class types in UFL.

Mathematical Software

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Firedrake: automating the finite element method by composing abstractions

1 code implementation • 8 Jan 2015 • Florian Rathgeber, David A. Ham, Lawrence Mitchell, Michael Lange, Fabio Luporini, Andrew T. T. McRae, Gheorghe-Teodor Bercea, Graham R. Markall, Paul H. J. Kelly

Firedrake is a new tool for automating the numerical solution of partial differential equations.

Mathematical Software Numerical Analysis Numerical Analysis G.1.8; G.4

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