Solving PDEs with Intrepid

Journal Article · Sat Dec 31 23:00:00 EST 2011 · Scientific Programming

DOI:https://doi.org/10.1155/2012/403902· OSTI ID:1197985

Bochev, P. ^[1]; Edwards, H. C. ^[2]; Kirby, R. C. ^[3]; Peterson, K. ^[1]; Ridzal, D. ^[4]

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1. Department of Numerical Analysis and Applications, Sandia National Laboratories, Albuquerque, NM, USA
2. Department of Multiphysics Simulation Technologies, Sandia National Laboratories, Albuquerque, NM, USA
3. Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX, USA
4. Optimization and Uncertainty Quantification Department, Sandia National Laboratories, Albuquerque, NM, USA

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.

• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE National Nuclear Security Administration (NNSA)
• OSTI ID: 1197985
• Journal Information: Scientific Programming, Journal Name: Scientific Programming Journal Issue: 2 Vol. 20; ISSN 1058-9244
• Publisher: Hindawi Publishing Corporation
• Country of Publication: Egypt
• Language: English