dc.creator | Logg, A | |
dc.creator | Wells, Garth Nathan | |
dc.date.accessioned | 2018-11-24T13:10:27Z | |
dc.date.available | 2009-02-25T23:24:50Z | |
dc.date.available | 2018-11-24T13:10:27Z | |
dc.date.issued | 2010 | |
dc.identifier | http://www.dspace.cam.ac.uk/handle/1810/214787 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/123456789/2772 | |
dc.description.abstract | We describe here a library aimed at automating the solution of partial differential equations using the finite element method. By employing novel techniques for automated code generation, the library combines a high level of expressiveness with efficient computation. Finite element variational forms may be expressed in near mathematical notation, from which low-level code is automatically generated, compiled and seamlessly integrated with efficient implementations of
computational meshes and high-performance linear algebra. Easy-to-use object-oriented interfaces to the library are provided in the form of a C++ library and a Python module. This paper discusses the mathematical abstractions and methods used in the design of the library and its implementation. A number of examples are presented to demonstrate the use of the library in application code. | |
dc.language | en | |
dc.publisher | ACM Transactions on Mathematical Software | |
dc.title | DOLFIN: Automated finite element computing | |
dc.type | Article | |