Difference between revisions of "MORB"

Latest revision as of 15:20, 3 June 2024

A model order reduction benchmark (MORB) tool is currently under development. It is a demonstrator of the generic benchmark framework (MaRDIMark) developed for Task Area 2 of the Mathematical Research Data Initiative (MaRDI) and will serve as an example of how to fairly compare different implementations of algorithms across a standardized benchmark set for scientific computing.

Overview

An overview of MaRDI and MORB are provided in the poster, which was presented at Model Reduction and Surrogate Modeling (MORE), 19-23 September 2022, Berlin, Germany.

mini-MORB (snapshot of MATLAB prototype)

A MATLAB prototype for linear-time-invariant, first-order systems (LTI-FOS) is largely operational. An example report for the CD Player benchmark is provided.

Please also see the report published in PAMM, as well as the accompanying code hosted at Zenodo.

 @article{BenLS23,
     title = {Towards a benchmark framework for model order reduction in the {{Mathematical Research Data Initiative}} ({{MaRDI}})},
     author = {Benner, Peter and Lund, Kathryn and Saak, Jens},
     year = {2023},
     journal = {Proceeding Appl. Math. Mech.},
     doi = {10.1002/pamm.202300147},
     pages = {e202300147},
     volume = 23,
     number = 3
 }

 @misc{mini-MORB,
     title = {mini-{{MORB}} ({{Model Order Reduction Benchmarker}})},
     author = {Lund, Kathryn and Saak, Jens and Benner, Peter},
     year = {2023},
     doi = {10.5281/zenodo.8093832}
 }

@@ Line 1: / Line 1: @@
+A model order reduction benchmark (MORB) tool is currently under development. It is a demonstrator of the generic benchmark framework (MaRDIMark) developed for Task Area 2 of the Mathematical Research Data Initiative ([https://www.mardi4nfdi.de/about/task-areas MaRDI]) and will serve as an example of how to fairly compare different implementations of algorithms across a standardized benchmark set for scientific computing.
-{{preliminary}} <!-- Do not remove -->
+== Overview ==
-= Model Order Reduction Benchmarker (MORB) =
+An overview of MaRDI and MORB are provided in the poster, which was presented at [https://more.sciencesconf.org/ Model Reduction and Surrogate Modeling (MORE)], 19-23 September 2022, Berlin, Germany.
-A new benchmarking tool for model order reduction is currently under development. It is a demonstrator of the generic benchmark framework developed for Task Area 2 of the Mathematical Research Data Initiative ([https://www.mardi4nfdi.de/about/task-areas MaRDI] and will serve as an example of how to fairly compare different implementations of algorithms across a standardized benchmark set for scientific computing.
-An overview of MaRDI and MORB are provided in the poster, which was presented at Model Reduction and Surrogate Modeling (MORE), 19-23 September 2022, Berlin, Germany.
 [[File:Morb2022.pdf|180px]]
+== mini-MORB (snapshot of MATLAB prototype) ==
-Please check back often for updates.
+A MATLAB prototype for linear-time-invariant, first-order systems (LTI-FOS) is largely operational.  An example [https://morwiki.mpi-magdeburg.mpg.de/morwiki/index.php/File:CdPlayer_n120m2q2.pdf report] for the [[CD Player]] benchmark is provided.
+Please also see the [https://onlinelibrary.wiley.com/doi/10.1002/pamm.202300147 report] published in [https://onlinelibrary.wiley.com/journal/16177061 PAMM], as well as the accompanying [https://zenodo.org/record/8093833 code] hosted at [https://zenodo.org Zenodo].
+ <nowiki>
+ @article{BenLS23,
+     title = {Towards a benchmark framework for model order reduction in the {{Mathematical Research Data Initiative}} ({{MaRDI}})},
+     author = {Benner, Peter and Lund, Kathryn and Saak, Jens},
+     year = {2023},
+     journal = {Proceeding Appl. Math. Mech.},
+     doi = {10.1002/pamm.202300147},
+     pages = {e202300147},
+     volume = 23,
+     number = 3
+ }
+ @misc{mini-MORB,
+     title = {mini-{{MORB}} ({{Model Order Reduction Benchmarker}})},
+     author = {Lund, Kathryn and Saak, Jens and Benner, Peter},
+     year = {2023},
+     doi = {10.5281/zenodo.8093832}
+ }
+ </nowiki>