Solving PDEs with Intrepid | Zendy

Pavel Bochev | Zendy; Harold Edwards | Zendy; Robert C. Kirby | Zendy; Kara Peterson | Zendy; Denis Ridzal | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Solving PDEs with Intrepid

Author(s) -

Pavel Bochev,

Harold Edwards,

Robert C. Kirby,

Kara Peterson,

Denis Ridzal

Publication year - 2012

Publication title -

scientific programming

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.269

H-Index - 36

eISSN - 1875-919X

pISSN - 1058-9244

DOI - 10.1155/2012/403902

Subject(s) - partial differential equation , computer science , context (archaeology) , software package , mathematics , software , set (abstract data type) , computational science , range (aeronautics) , numerical analysis , calculus (dental) , mathematical analysis , engineering , programming language , paleontology , biology , aerospace engineering , medicine , dentistry

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research