MORB - Revision history

Saak at 13:20, 3 June 2024

2024-06-03T13:20:52Z

← Older revision		Revision as of 13:20, 3 June 2024
Line 9:		Line 9:
	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.		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 PAMM, as well as the accompanying [https://zenodo.org/record/8093833 code] hosted at Zenodo.		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>		<nowiki>
Line 18:		Line 18:
	journal = {Proceeding Appl. Math. Mech.},		journal = {Proceeding Appl. Math. Mech.},
	doi = {10.1002/pamm.202300147},		doi = {10.1002/pamm.202300147},
	pages = {e202300147}		pages = {e202300147},
			volume = 23,
			number = 3
	}		}

Saak at 15:33, 16 November 2023

2023-11-16T15:33:50Z

← Older revision		Revision as of 15:33, 16 November 2023
Line 20:		Line 20:
	pages = {e202300147}		pages = {e202300147}
	}		}

	@misc{mini-MORB,		@misc{mini-MORB,
	title = {mini-{{MORB}} ({{Model Order Reduction Benchmarker}})},		title = {mini-{{MORB}} ({{Model Order Reduction Benchmarker}})},

Lund: add citations and updated links for paper and code

2023-09-14T14:48:54Z

add citations and updated links for paper and code

← Older revision		Revision as of 14:48, 14 September 2023
Line 7:		Line 7:

	== mini-MORB (snapshot of MATLAB prototype) ==		== mini-MORB (snapshot of MATLAB prototype) ==
	A MATLAB prototype for linear-time-invariant (LTI) ~~systems~~ 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. ~~Code can be found on~~ [https://~~zenodo~~.~~org~~/~~record~~/~~8093833 Zenodo~~] ~~and an~~ accompanying ~~report on~~ [https://~~arxiv~~.org/~~abs~~/~~2307~~.~~00137 arXiv]~~.		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 PAMM, as well as the accompanying [https://zenodo.org/record/8093833 code] hosted at 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}
			}
			@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>

Lund: explain MORB acronym

2023-07-06T08:40:10Z

explain MORB acronym

← Older revision		Revision as of 08:40, 6 July 2023
Line 1:		Line 1:
	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.		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.

	== Overview ==		== Overview ==

Lund: add link to code and arXiv

2023-07-06T08:39:19Z

add link to code and arXiv

← Older revision		Revision as of 08:39, 6 July 2023
Line 6:		Line 6:
	[[File:Morb2022.pdf\|180px]]		[[File:Morb2022.pdf\|180px]]

	== MATLAB prototype ~~example~~ ==		== mini-MORB (snapshot of MATLAB prototype) ==
	~~As of January 2023, a~~ MATLAB prototype for linear-time-invariant (LTI) systems 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.		A MATLAB prototype for linear-time-invariant (LTI) systems 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. Code can be found on [https://zenodo.org/record/8093833 Zenodo] and an accompanying report on [https://arxiv.org/abs/2307.00137 arXiv].

Lund: change wording

2023-02-15T13:40:24Z

change wording

← Older revision		Revision as of 13:40, 15 February 2023
Line 7:		Line 7:

	== MATLAB prototype example ==		== MATLAB prototype example ==
	As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems is largely operational. ~~See an~~ example [https://morwiki.mpi-magdeburg.mpg.de/morwiki/index.php/File:CdPlayer_n120m2q2.pdf report] for the [[CD Player]] benchmark.		As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems 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.

Lund: update link to report

2023-02-15T13:39:38Z

update link to report

← Older revision		Revision as of 13:39, 15 February 2023
Line 7:		Line 7:

	== MATLAB prototype example ==		== MATLAB prototype example ==
	As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems is largely operational. See [[File:~~CdPlayer n120m2q2~~.pdf]] for ~~an example report on~~ the [[CD Player]] benchmark.		As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems is largely operational. See an example [https://morwiki.mpi-magdeburg.mpg.de/morwiki/index.php/File:CdPlayer_n120m2q2.pdf report] for the [[CD Player]] benchmark.

Lund: correct link to report

2023-02-15T13:38:17Z

correct link to report

← Older revision		Revision as of 13:38, 15 February 2023
Line 7:		Line 7:

	== MATLAB prototype example ==		== MATLAB prototype example ==
	As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems is largely operational. See [[File:~~cdPlayer_n120m2q2~~.pdf]] for an example report on the [[CD Player]] benchmark.		As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems is largely operational. See [[File:CdPlayer n120m2q2.pdf]] for an example report on the [[CD Player]] benchmark.

Lund: add CD Player report

2023-02-15T13:33:33Z

add CD Player report

← Older revision		Revision as of 13:33, 15 February 2023
Line 1:		Line 1:
	~~{{preliminary}} <!~~-~~- Do not remove -->~~		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.

	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.		== Overview ==
			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.
	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]]		[[File:Morb2022.pdf\|180px]]

	As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems is largely operational. See [[File:cdPlayer_n120m2q2.pdf~~\|180px~~]] ~~and~~ [[~~File:steelProfile_n1357m7q6.pdf\|180px~~]] ~~for example reports.~~		== MATLAB prototype example ==
			As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems is largely operational. See [[File:cdPlayer_n120m2q2.pdf]] for an example report on the [[CD Player]] benchmark.
	~~Please check back often for updates~~.

Lund: /* Model Order Reduction Benchmarker (MORB) */ add links to prototype reports

2023-02-15T13:24:07Z

Model Order Reduction Benchmarker (MORB): add links to prototype reports

← Older revision		Revision as of 13:24, 15 February 2023
Line 1:		Line 1:
	{{preliminary}} <!-- Do not remove -->		{{preliminary}} <!-- Do not remove -->

	~~= Model Order Reduction Benchmarker (MORB) =~~
	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.		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.

Line 7:		Line 6:

	[[File:Morb2022.pdf\|180px]]		[[File:Morb2022.pdf\|180px]]

			As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems is largely operational. See [[File:cdPlayer_n120m2q2.pdf\|180px]] and [[File:steelProfile_n1357m7q6.pdf\|180px]] for example reports.

	Please check back often for updates.		Please check back often for updates.