logo

Scientific Programming

PDF
Scientific Programming / 2012 / Article

On this page

AbstractCopyright
Special Issue

A New Overview of the Trilinos Project – Part 1

View this Special Issue

Open Access

Volume 20 |Article ID 403902 | https://doi.org/10.3233/SPR-2012-0340

P. Bochev, H.C. Edwards, R.C. Kirby, K. Peterson, D. Ridzal, "Solving PDEs with Intrepid", Scientific Programming, vol. 20, Article ID 403902, 30 pages, 2012. https://doi.org/10.3233/SPR-2012-0340

Solving PDEs with Intrepid

P. Bochev,1 H.C. Edwards,2 R.C. Kirby,3 K. Peterson,1 and D. Ridzal4

1Department 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 © 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.

More related articles

PDF Download Citation Citation
Order printed copiesOrder
Views548
Downloads733
Citations