(\mathcal{H}_2\)-Optimal Model Reduction Using Projected Nonlinear Least Squares
In many applications throughout science and engineering, model reduction plays an important role replacing expensive large-scale linear dynamical systems by inexpensive reduced order models that capture key features of the original, full order model. One approach to model reduction finds reduced ord...
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Veröffentlicht in: | arXiv.org 2020-09 |
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Sprache: | eng |
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