Difference between revisions of "Main Page"

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<center>This website is under ongoing construction. Since it is a [http://en.wikipedia.org/wiki/Wiki Wiki], you can help by [[Special:Userlogin|contributing]]</center>
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<div style="padding:0.7em 0em 0em 0em;">
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{{Largebox
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| Title = <div style="font-size:200%; padding:.1em;">SUrrogate MOdeling (SUMO) Toolbox</div>
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| Contents =
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The Surrogate Modeling Toolbox (SUMO Toolbox) is a Matlab toolbox that automatically builds accurate [http://en.wikipedia.org/wiki/Surrogate_model surrogate models] (also known as metamodels or [http://en.wikipedia.org/wiki/Response_surface_methodology response surface models]) of a given data source (simulation code, data set, script, ...) within the accuracy and time constraints set by the user.  In doing so the toolbox minimizes the number of data points (which it chooses automatically) since they are usually expensive. The toolbox tries to be as adaptive and autonomous as possible, requiring no user input besides some initial configuration.
  
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== Open Positions ==
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[[Image:metamodel-generation.png|500 px|center|SUMO-Toolbox : Generating an approximation for a reference model]]
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We are constantly looking for highly motivated PhD candidates or post-docs, that have a strong interest in [http://www.coms.ua.ac.be/?q=research one of our research topics]. Our research area is highly multidisciplinary, and requires strong mathematical, physical and computer science knowledge.
 
  
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Please contact '''tom.dhaene@ieee.org'''
 
  
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== About ==
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However, since there is no such thing as a ''one-size-fits-all'', the toolbox has been designed to be fully pluggable and extensible using standard [http://en.wikipedia.org/wiki/Object_orientation object oriented] design patterns.  Implementations of the different components (model types, sampling strategies, model selection criteria, hyperparameter optimization algorithms,...) can be plugged-in, compared, or replaced by custom implementations.  In this way the SUMO Toolbox provides a common platform to easily test and benchmark different sampling and approximation strategies while easily integrating in the engineering design process. [[About|more information....]]
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The Multivariate MetaModeling Toolbox (M3-Toolbox) is a Matlab toolbox that builds accurate, [http://en.wikipedia.org/wiki/Surrogate_model surrogate models] (also known as metamodels or response surface models) of a given data source (data set, executable, ...).  In doing so the toolbox minimizes the number of simulator evaluations since they are usually expensive. The toolbox tries to be as adaptive and flexible as possible, requiring no user input besides some initial configuration.
 
  
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The toolbox has been designed to be as pluggable and extensible as possible.  This means that, allthough the out-of-the-box tools and algorithms are tailored to black box, behavioral modeling (ie. treat the system as a data generating black box that maps inputs onto outputs) there is nothing that prevents a user from plugging in grey/white box model types/modeling algorithms that DO take into account knowledge of the underlying system.  So really the toolbox provides a shared platform where different modeling/sampling techniques can be implemented and benchmarked on a wide variety of problems.  You can make it as problem specific or problem generic as you want it to be.
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}}</div>
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{{3widebox
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| Box1_title = [[About]]
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| Box1_contents = * [[About | General information]]
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* [[About#Design goals|Design goals]]
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* [[About#Features|Features]]
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* [[About#Screenshots|Screenshots]]
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* [[About#Movies|Movies]]
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* [[FAQ|Frequently Asked Questions - FAQ]]
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| Box2_title = [[Downloading|Download]] - [[Installation]]
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| Box2_contents =
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* [[System requirements]]
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* [[Downloading|Downloading the SUMO Toolbox]]
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* [[Installation|Installation instructions]]
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* [[License terms]]
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* [[Useful Links|Useful links]]
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| Box3_title = [[Running|Usage]]
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| Box3_contents =
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* [[Running#Getting_started|Getting started]]
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* [[Running|General usage]]
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* [[Configuration]]
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* [[Known bugs]]
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* [[Extending|Extending the toolbox]]
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* [[Tips|Useful tips]]
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}}
  
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[[About | The About page contains more information]] on the [[About#History|history]], [[About#Features|features]] and [[About#Design Goals|design goals]] of the toolbox.  On the same page you will also find a number of [[About#Screenshots|screenshots]] and [[About#Movies|movies]].
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{{2widebox
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| Box1_title = Open Positions
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| Box1_contents = We are constantly looking for highly motivated PhD candidates or post-docs, that have a strong interest in one of our [http://www.sumo.intec.ugent.be/?q=research research topics]. Our research area is highly multidisciplinary, and requires strong mathematical, physical and computer science knowledge.
  
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== License ==
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Please contact '''tom.dhaene@ugent.be'''
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The toolbox is freely available for '''personal, academic, non-profit use only'''.  For all other uses explicit written prior permission must be obtained from [http://www.coms.ua.ac.be/?q=tom Prof. Tom Dhaene].  For more information see the [[License terms]].
 
  
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== Main Sections ==
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| Box2_title = [[Feedback|Contact]]
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Please use the links below to navigate the site
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| Box2_contents =
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* [http://www.sumo.intec.ugent.be/node/35 Project members]
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* [[About|General information]]
 
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* [[Downloading|Downloading the toolbox]]
 
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* [[System requirements]]
 
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* [[Installation|Installation Instructions]]
 
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* [[Running|Running the toolbox]]
 
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* [[Configuration]]
 
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** [[Toolbox configuration]]
 
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*** [[General guidelines]]
 
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** [[Simulator configuration]]
 
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* [[Extending|Extending the toolbox]]
 
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* [[Contributing|Contribute]]
 
 
* [[Feedback]]
 
* [[Feedback]]
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* [[Contributing]]
 
* [[Reporting problems]]
 
* [[Reporting problems]]
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* [[Useful Links]]
 
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* [[Miscellaneous]]
 
 
* [[Citing|Citing the toolbox]]
 
* [[Citing|Citing the toolbox]]
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* [[Image:blogger-logo.jpeg|left|15px|link=http://sumolab.blogspot.com Research blog]][http://sumolab.blogspot.com Research blog]
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}}
  
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See also the [[FAQ]], [[Known bugs]], [[Terminology]] and [[Tips]] pages for answers to common questions.
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* This website is under ongoing construction. Since it is a [http://en.wikipedia.org/wiki/Wiki Wiki], you can help by [[Special:Userlogin|contributing]]
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Latest revision as of 14:38, 7 May 2013

SUrrogate MOdeling (SUMO) Toolbox

The Surrogate Modeling Toolbox (SUMO Toolbox) is a Matlab toolbox that automatically builds accurate surrogate models (also known as metamodels or response surface models) of a given data source (simulation code, data set, script, ...) within the accuracy and time constraints set by the user. In doing so the toolbox minimizes the number of data points (which it chooses automatically) since they are usually expensive. The toolbox tries to be as adaptive and autonomous as possible, requiring no user input besides some initial configuration.

SUMO-Toolbox : Generating an approximation for a reference model


However, since there is no such thing as a one-size-fits-all, the toolbox has been designed to be fully pluggable and extensible using standard object oriented design patterns. Implementations of the different components (model types, sampling strategies, model selection criteria, hyperparameter optimization algorithms,...) can be plugged-in, compared, or replaced by custom implementations. In this way the SUMO Toolbox provides a common platform to easily test and benchmark different sampling and approximation strategies while easily integrating in the engineering design process. more information....

Open Positions

We are constantly looking for highly motivated PhD candidates or post-docs, that have a strong interest in one of our research topics. Our research area is highly multidisciplinary, and requires strong mathematical, physical and computer science knowledge.

Please contact tom.dhaene@ugent.be

  • This website is under ongoing construction. Since it is a Wiki, you can help by contributing
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