Model-Constrained Optimization Methods for Reduction of Parameterized Large-Scale Systems
Most model reduction techniques employ a projection framework that utilizes a reduced-space basis. The basis is usually formed as the span of a set of solutions of the large-scale system, which are computed for selected values (samples) of input parameters and forcing inputs. In existing model reduc...
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| Materialtyp: | Technical Report |
| Språk: | en_US |
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Aerospace Computational Design Laboratory, Dept. of Aeronautics & Astronautics, Massachusetts Institute of Technology
2010
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| Länkar: | http://hdl.handle.net/1721.1/57594 |