Data-driven, variational model reduction of high-dimensional reaction networks

2020 ◽  
Vol 401 ◽  
pp. 108997 ◽  
Author(s):  
Markos A. Katsoulakis ◽  
Pedro Vilanova
Keyword(s):  
Model Reduction ◽  
Data Driven ◽  
Variational Model ◽  
Reaction Networks ◽  
High Dimensional

scholarly journals Accelerated Sensitivity Analysis in High-Dimensional Stochastic Reaction Networks

PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0130825 ◽  
Author(s):  
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Markos A. Katsoulakis ◽  
Yannis Pantazis
Keyword(s):  
Sensitivity Analysis ◽  
Reaction Networks ◽  
High Dimensional ◽  
Stochastic Reaction ◽  
Stochastic Reaction Networks

scholarly journals Optimization and model reduction in the high dimensional parameter space of a budding yeast cell cycle model

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pp. 53 ◽  
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Cihan Oguz ◽  
Teeraphan Laomettachit ◽  
Katherine C Chen ◽  
Layne T Watson ◽  
William T Baumann ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Yeast Cell ◽  
Model Reduction ◽  
Parameter Space ◽  
Budding Yeast ◽  
Yeast Cell Cycle ◽  
High Dimensional ◽  
Cycle Model ◽  
Dimensional Parameter ◽  
Budding Yeast Cell Cycle

High-Dimensional Data-Driven Optimal Design for Hot Strip Rolling of Microalloyed Steel

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Vol 89 (7) ◽  
pp. 1800015 ◽  
Author(s):  
Siwei Wu ◽  
Xiaoguang Zhou ◽  
Guangming Cao ◽  
Naian Shi ◽  
Zhenyu Liu
Keyword(s):  
Optimal Design ◽  
Microalloyed Steel ◽  
High Dimensional Data ◽  
Data Driven ◽  
High Dimensional ◽  
Hot Strip Rolling ◽  
Strip Rolling ◽  
Hot Strip

scholarly journals A door to model reduction in high-dimensional parameter space

2018 ◽  
Vol 346 (7) ◽  
pp. 524-531 ◽  
Author(s):  
Charles Paillet ◽  
David Néron ◽  
Pierre Ladevèze
Keyword(s):  
Model Reduction ◽  
Parameter Space ◽  
High Dimensional ◽  
Dimensional Parameter
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