Resolvent4py: A parallel Python package for analysis, model reduction and control of large-scale linear systems

In this paper, we present resolvent4py , a parallel Python package for the analysis, model reduction and control of large-scale linear systems with millions or billions of degrees of freedom. This package provides the user with a friendly Python-like experience (akin to that of well-established libraries such as numpy and scipy ), while enabling MPI-based parallelism through mpi4py , petsc4py and slepc4py . In turn, this allows for the development of streamlined and efficient Python code that can be used to solve several problems in fluid mechanics, solid mechanics, graph theory, molecular dynamics and several other fields.

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Publication Details

Journal
SoftwareX
Published
2025-08-09
DOI
https://doi.org/10.1016/j.softx.2025.102286
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Resolvent4py: A parallel Python package for analysis, model reduction and control of large-scale linear systems

Daniel J. Bodony, Tim Colonius, Blaine Vollmer, Alberto Padovan et al.
SoftwareX
Model Reduction and Neural Networks
article

Resolvent4py: A parallel Python package for analysis, model reduction and control of large-scale linear systems

Daniel J. Bodony, Tim Colonius, Blaine Vollmer, Alberto Padovan, Clarence W. Rowley, Vishal Anantharaman
article en

Abstract

In this paper, we present resolvent4py , a parallel Python package for the analysis, model reduction and control of large-scale linear systems with millions or billions of degrees of freedom. This package provides the user with a friendly Python-like experience (akin to that of well-established libraries such as numpy and scipy ), while enabling MPI-based parallelism through mpi4py , petsc4py and slepc4py . In turn, this allows for the development of streamlined and efficient Python code that can be used to solve several problems in fluid mechanics, solid mechanics, graph theory, molecular dynamics and several other fields.

SoftwareXVol. 31
California Institute of Technology (US), University of Illinois Urbana-Champaign (US), Princeton University (US)
Openalex Percentile: Top 84%
Model Reduction and Neural Networks
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Resolvent4py: A parallel Python package for analysis, model reduction and control of large-scale linear systems — Daniel J. Bodony, Tim Colonius, et al. · SoftwareX (2025) | TGRS Research Map | TGRS