Category:Benchmark - Revision history

Lund: /* How to select data sets */

2022-10-04T07:57:27Z

How to select data sets

← Older revision		Revision as of 07:57, 4 October 2022
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	== How to select data sets ==		== How to select data sets ==
	We are currently developing a ~~search interface~~ [[Search Tool]] that will allow users to filter systems based on properties like size, linearity, symmetry, etc. Please check back often for updates.		We are currently developing a [[Search Tool]] that will allow users to filter systems based on properties like size, linearity, symmetry, etc. Please check back often for updates.

Lund: add statement about search tool

2022-10-04T07:56:33Z

add statement about search tool

← Older revision		Revision as of 07:56, 4 October 2022
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	== Where to find data ==		== Where to find data ==
	The Zenodo [https://zenodo.org/communities/morwiki/ MORWIKI]-Collection currently hosts some individual benchmark data and will eventually become the de facto repository for all benchmark data in the MORWiki.		The Zenodo [https://zenodo.org/communities/morwiki/ MORWIKI]-Collection currently hosts some individual benchmark data and will eventually become the de facto repository for all benchmark data in the MORWiki.

			== How to select data sets ==
			We are currently developing a search interface [[Search Tool]] that will allow users to filter systems based on properties like size, linearity, symmetry, etc. Please check back often for updates.

Lund: Improve grammar and style.

2022-09-15T09:12:22Z

Improve grammar and style.

← Older revision		Revision as of 09:12, 15 September 2022
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	All pages describing benchmarks for model order reduction are part of this category.		All pages describing benchmarks for model order reduction are part of this category.

	There are already many benchmarks in the [http://simulation.uni-freiburg.de/downloads/benchmark/ Oberwolfach Model Reduction Benchmark Collection] and [http://slicot.org/20-site/126-benchmark-examples-for-model-reduction NICONET Benchmark Examples], where most of the models are non-parametrized linear time invariant systems (first ~~order~~ and second order).		There are already many benchmarks in the [http://simulation.uni-freiburg.de/downloads/benchmark/ Oberwolfach Model Reduction Benchmark Collection] and [http://slicot.org/20-site/126-benchmark-examples-for-model-reduction NICONET Benchmark Examples], where most of the models are non-parametrized linear time invariant systems (first- and second-order).

	In the benchmark collection ~~you see~~ here, benchmarks of many parametrized models appear public for the first time. Furthermore, benchmarks for many more nonparametric models from various engineering applications (circuit simulation, mechanical engineering, control~~, etc.~~) are also included.		In the benchmark collection here, benchmarks of many parametrized models appear public for the first time. Furthermore, benchmarks for many more nonparametric models from various engineering applications (e.g., circuit simulation, mechanical engineering, and control) are also included.

	The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing~~, etc.~~ a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods~~, etc.~~.		The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer-aided design, and scientific computing a platform for exchanging and sharing the resources for testing and verifying new ideas, numerical algorithms, and model reduction methods.

	The Zenodo [https://zenodo.org/communities/morwiki/ MORWIKI]-Collection hosts the ~~individual~~ benchmark data ~~(currently being filled)~~.		== Where to find data ==
			The Zenodo [https://zenodo.org/communities/morwiki/ MORWIKI]-Collection currently hosts some individual benchmark data and will eventually become the de facto repository for all benchmark data in the MORWiki.

Himpe: Add category category

2022-08-25T08:08:24Z

Add category category

← Older revision		Revision as of 08:08, 25 August 2022
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			[[Category:Category]]

	All pages describing benchmarks for model order reduction are part of this category.		All pages describing benchmarks for model order reduction are part of this category.

Saak at 08:42, 12 February 2019

2019-02-12T08:42:22Z

← Older revision		Revision as of 08:42, 12 February 2019
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	The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing, etc. a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods, etc..		The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing, etc. a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods, etc..

			The Zenodo [https://zenodo.org/communities/morwiki/ MORWIKI]-Collection hosts the individual benchmark data (currently being filled).

Himpe: niconet link update

2014-01-14T11:46:12Z

niconet link update

← Older revision		Revision as of 11:46, 14 January 2014
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	All pages describing benchmarks for model order reduction are part of this category.		All pages describing benchmarks for model order reduction are part of this category.

	There are already many benchmarks in the [http://simulation.uni-freiburg.de/downloads/benchmark/ Oberwolfach Model Reduction Benchmark Collection] and [http://~~www~~.~~icm.tu~~-~~bs.de~~/~~NICONET/benchmodred.html~~ NICONET Benchmark Examples], where most of the models are non-parametrized linear time invariant systems (first order and second order).		There are already many benchmarks in the [http://simulation.uni-freiburg.de/downloads/benchmark/ Oberwolfach Model Reduction Benchmark Collection] and [http://slicot.org/20-site/126-benchmark-examples-for-model-reduction NICONET Benchmark Examples], where most of the models are non-parametrized linear time invariant systems (first order and second order).

	In the benchmark collection you see here, benchmarks of many parametrized models appear public for the first time. Furthermore, benchmarks for many more nonparametric models from various engineering applications (circuit simulation, mechanical engineering, control, etc.) are also included.		In the benchmark collection you see here, benchmarks of many parametrized models appear public for the first time. Furthermore, benchmarks for many more nonparametric models from various engineering applications (circuit simulation, mechanical engineering, control, etc.) are also included.

	The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing, etc. a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods, etc..		The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing, etc. a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods, etc..

Himpe: added NICONET benchmark examples link

2013-09-03T19:39:07Z

added NICONET benchmark examples link

← Older revision		Revision as of 19:39, 3 September 2013
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	All pages describing benchmarks for model order reduction are part of this category.		All pages describing benchmarks for model order reduction are part of this category.

	There are already many benchmarks in the ~~Oberwolfach Model Reduction Benchmark Collection~~ [http://simulation.uni-freiburg.de/downloads/benchmark/], where most of the models are non-parametrized linear time invariant systems (first order and second order).		There are already many benchmarks in the [http://simulation.uni-freiburg.de/downloads/benchmark/ Oberwolfach Model Reduction Benchmark Collection] and [http://www.icm.tu-bs.de/NICONET/benchmodred.html NICONET Benchmark Examples], where most of the models are non-parametrized linear time invariant systems (first order and second order).

	In the benchmark collection you see here, benchmarks of many parametrized models appear public for the first time. Furthermore, benchmarks for many more nonparametric models from various engineering applications (circuit simulation, mechanical engineering, control, etc.) are also included.		In the benchmark collection you see here, benchmarks of many parametrized models appear public for the first time. Furthermore, benchmarks for many more nonparametric models from various engineering applications (circuit simulation, mechanical engineering, control, etc.) are also included.

	The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing, etc. a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods, etc..		The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing, etc. a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods, etc..

Feng at 08:02, 28 March 2013

2013-03-28T08:02:00Z

← Older revision		Revision as of 08:02, 28 March 2013
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	There are already many benchmarks in the Oberwolfach Model Reduction Benchmark Collection [http://simulation.uni-freiburg.de/downloads/benchmark/], where most of the models are non-parametrized linear time invariant systems (first order and second order).		There are already many benchmarks in the Oberwolfach Model Reduction Benchmark Collection [http://simulation.uni-freiburg.de/downloads/benchmark/], where most of the models are non-parametrized linear time invariant systems (first order and second order).

	In the benchmark collection you see here, ~~many~~ benchmarks of parametrized models appear public for the first time. Furthermore, benchmarks for many more nonparametric models from various engineering applications (circuit simulation, mechanical engineering, control, etc.) are also included.		In the benchmark collection you see here, benchmarks of many parametrized models appear public for the first time. Furthermore, benchmarks for many more nonparametric models from various engineering applications (circuit simulation, mechanical engineering, control, etc.) are also included.

	The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing, etc. a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods, etc..		The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing, etc. a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods, etc..

Feng at 08:01, 28 March 2013

2013-03-28T08:01:44Z

← Older revision		Revision as of 08:01, 28 March 2013
Line 3:		Line 3:
	There are already many benchmarks in the Oberwolfach Model Reduction Benchmark Collection [http://simulation.uni-freiburg.de/downloads/benchmark/], where most of the models are non-parametrized linear time invariant systems (first order and second order).		There are already many benchmarks in the Oberwolfach Model Reduction Benchmark Collection [http://simulation.uni-freiburg.de/downloads/benchmark/], where most of the models are non-parametrized linear time invariant systems (first order and second order).

	In the benchmark collection you see here, many parametrized models appear public for the first time. Furthermore, benchmarks for many more nonparametric models from various engineering applications (circuit simulation, mechanical engineering, control, etc.) are also included.		In the benchmark collection you see here, many benchmarks of parametrized models appear public for the first time. Furthermore, benchmarks for many more nonparametric models from various engineering applications (circuit simulation, mechanical engineering, control, etc.) are also included.

	The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing, etc. a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods, etc..		The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing, etc. a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods, etc..

Feng at 10:40, 15 March 2013

2013-03-15T10:40:31Z

← Older revision		Revision as of 10:40, 15 March 2013
Line 5:		Line 5:
	In the benchmark collection you see here, many parametrized models appear public for the first time. Furthermore, benchmarks for many more nonparametric models from various engineering applications (circuit simulation, mechanical engineering, control, etc.) are also included.		In the benchmark collection you see here, many parametrized models appear public for the first time. Furthermore, benchmarks for many more nonparametric models from various engineering applications (circuit simulation, mechanical engineering, control, etc.) are also included.

	The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing, etc. a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods, etc.		The motivation is to provide researchers in the fields of model order reduction, numerical simulation, computer aided design, scientific computing, etc. a platform of exchanging, sharing the resources for testing, verifying new ideas, numerical algorithms, model reduction methods, etc..