Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for improved accuracy leads to larger and more complex dynamical systems, direct simulation often becomes the only available strategy for accurate prediction or control, inevitably creating a considerable burden on computational resources. This is the main context where one considers model reduction, seeking to replace large systems of coupled differential and algebraic equations that constitute high fidelity system models with substantially fewer equations that are crafted to control the loss of fidelity that order reduction may induce in the system response.
Interpolatory Methods for Model Reduction
Categorii:
Limba:
Engleza
Data publicarii:
2020
Tip coperta:
Paperback
Nr. pagini:
232
Colectie:
ISBN:
9781611976076
Dimensiuni: l: 18cm | H: 25cm
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