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Solving PDEs with Intrepid
P. Bochev
,1 H.C. Edwards,2 R.C. Kirby,3 K. Peterson,1 and D. Ridzal41Department of Numerical Analysis and Applications, Sandia National Laboratories, Albuquerque, NM, USA
2Department of Multiphysics Simulation Technologies, Sandia National Laboratories, Albuquerque, NM, USA
3Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX, USA
4Optimization and Uncertainty Quantification Department, Sandia National Laboratories, Albuquerque, NM, USA
Abstract
Intrepid is a Trilinos package for advanced discretizations of Partial Differential Equations (PDEs). The package provides a comprehensive set of tools for local, cell-based construction of a wide range of numerical methods for PDEs. This paper describes the mathematical ideas and software design principles incorporated in the package. We also provide representative examples showcasing the use of Intrepid both in the context of numerical PDEs and the more general context of data analysis.
Copyright
Copyright © 2012 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
