Unified form language

Author:

Alnæs Martin S.1,Logg Anders2,Ølgaard Kristian B.3,Rognes Marie E.1,Wells Garth N.4

Affiliation:

1. Simula Research Laboratory, Lysaker, Norway

2. Simula Research Laboratory and University of Oslo, Lysaker, Norway

3. Aalborg University, Esbjerg, Denmark

4. University of Cambridge, Cambridge, United Kingdom

Abstract

We present the Unified Form Language (UFL), which is a domain-specific language for representing weak formulations of partial differential equations with a view to numerical approximation. Features of UFL include support for variational forms and functionals, automatic differentiation of forms and expressions, arbitrary function space hierarchies for multifield problems, general differential operators and flexible tensor algebra. With these features, UFL has been used to effortlessly express finite element methods for complex systems of partial differential equations in near-mathematical notation, resulting in compact, intuitive and readable programs. We present in this work the language and its construction. An implementation of UFL is freely available as an open-source software library. The library generates abstract syntax tree representations of variational problems, which are used by other software libraries to generate concrete low-level implementations. Some application examples are presented and libraries that support UFL are highlighted.

Funder

Norges Forskningsråd

Center of Excellence grant awarded to the Center for Biomedical Computing at Simula Research Laboratory

Publisher

Association for Computing Machinery (ACM)

Subject

Applied Mathematics,Software

Reference55 articles.

1. C. Abert L. Exl G. Selke A. Drews and T. Schrefl. 2012. Numerical methods for the strayfield calculation: A comparison of recently developed algorithms. J. Magn. Magn. Mater. C. Abert L. Exl G. Selke A. Drews and T. Schrefl. 2012. Numerical methods for the strayfield calculation: A comparison of recently developed algorithms. J. Magn. Magn. Mater.

2. M. S. Alnæs. 2009. A compiler framework for automatic linearization and efficient discretization of nonlinear partial differential equations. PhD thesis University of Oslo. M. S. Alnæs. 2009. A compiler framework for automatic linearization and efficient discretization of nonlinear partial differential equations. PhD thesis University of Oslo.

3. On the efficiency of symbolic computations combined with code generation for finite element methods

4. Unified framework for finite element assembly

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