pyNIROM—A suite of python modules for non-intrusive reduced order modeling of time-dependent problems
| Autor: | Matthew W. Farthing, Peter Rivera-Casillas, Sourav Dutta, Orie M. Cecil |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Model order reduction
Partial differential equation Dynamical systems theory Computer science Suite Python (programming language) Computer Science::Digital Libraries Computational science Nonlinear system Development (topology) Dynamic mode decomposition computer Software computer.programming_language |
| Zdroj: | Software Impacts. 10:100129 |
| ISSN: | 2665-9638 |
| DOI: | 10.1016/j.simpa.2021.100129 |
| Popis: | Modern reduced order models (ROMs) have widespread applicability in computational science and engineering as they allow accurate simulation of complex, nonlinear problems with minimal computational cost. In this paper, we introduce a Python-based implementation of a suite of data-driven ROM techniques for dynamical systems governed by time-dependent, nonlinear partial differential equations (PDEs). The versatility and accuracy of the presented ROM frameworks have been demonstrated with various numerical experiments in multiple publications. Therefore, this module is suitable not only as a tool for users in the industry, but it also provides a framework for researchers in academia to pursue further development. |
| Databáze: | OpenAIRE |
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