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Model order reduction (MOR) is a technique for reducing the computational complexity of mathematical models in numerical simulations. As such it is closely related to the concept of metamodeling, with applications in all areas of mathematical modelling.
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model reduction order methods reduced systems models nonlinear also decomposition simulations mathematical fluid applications problems approximation equations system computational doi
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| wave problems | instance of | Building on nonlinear approximations is essential for efficiently reducing certain problem classes | 0.80 | text |
| advection-dominated problems in computational fluid dynamics | instance of | Building on nonlinear approximations is essential for efficiently reducing certain problem classes | 0.80 | text |
| Model order reduction | has application | Model | 0.60 | section |
| Model order reduction | has application | MEMS | 0.60 | section |
| Model order reduction | has application | Boltzmann | 0.60 | section |
| Model order reduction | has method | Contemporary | 0.60 | section |
| Model order reduction | has method | Proper | 0.60 | section |
| Model order reduction | has method | Reduced | 0.60 | section |
| Model order reduction | has method | Balancing | 0.60 | section |
| Model order reduction | has method | Nonlinear | 0.60 | section |
| Model order reduction | related to External links | Model Order Reduction WikiModel | 0.60 | section |
| Model order reduction | related to External links | Reduction | 0.60 | section |
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