PyTrilinos is a set of python wrappers for selected Trilinos packages. This allows a python programmer to dynamically import Trilinos packages into a python script or the python command-line interpreter, allowing the creation and manipulation of Trilinos objects and the execution of Trilinos algorithms, without the need to constantly recompile. PyTrilinos adds a level of convenience to Trilinos users; quick and dirty tests can be run immediately, unit testing can be built quickly within the python unit testing framework, object-oriented design can be explored more efficiently, and full-fledged applications can be developed using python. PyTrilinos is intended to supplement the outstanding efforts of the community of SciPy developers by providing robust solver capabilities to the scientific python community. As such, it has a high degree of compatibility with NumPy, the n-dimensional array module that provides contiguous, homogeneous data support for all SciPy modules.
Keywords for this software
References in zbMATH (referenced in 4 articles , 1 standard article )
Showing results 1 to 4 of 4.
- O’Grady, James; Foster, John: A meshfree method for bending and failure in non-ordinary peridynamic shells (2016)
- Schwaha, Philipp; Heinzl, René; Stimpfl, Franz; Selberherr, Siegfried: Synergies in scientific computing by combining multi-paradigmatic languages for high-performance applications (2009)
- Sala, Marzio; Spotz, William F.; Heroux, Michael A.: PyTrilinos: High-performance distributed-memory solvers for Python (2008)
- Sala, Marzio; Stanley, Kendall S.; Heroux, Michael A.: On the design of interfaces to sparse direct solvers. (2008)