Abstract
The problem of finding the global minimum of a multivariate polynomial can be approached by the matrix method of Stetter-Moller, which reformulates it as a large eigenvalue problem. The linear operators involved in this approach are studied using the theory of nD-systems. This supports the efficient application of iterative methods for solving eigenvalue problems such as Arnoldi methods and Jacobi-Davidson methods. This approach is demonstrated by an example which addresses optimal H2-model reduction of a linear dynamical model of order 10 to order 9. Index Terms: global polynomial optimization, Stetter-Moller matrix method, linear operator, nD-system, large eigenvalue problem, H2 model reduction
| Original language | English |
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| Title of host publication | Proceedings of CDC-ECC 2005 |
| Subtitle of host publication | 44th IEEE Conference on Decision and Control and European Control Conference 2005 |
| Place of Publication | Sevilla |
| Publisher | IEEE |
| Pages | 5107-5112 |
| DOIs | |
| Publication status | Published - 1 Jan 2005 |
| Event | 44th IEEE Conference on Decision and Control and European Control Conference 2005 - Duration: 12 Dec 2005 → 15 Dec 2005 |
Conference
| Conference | 44th IEEE Conference on Decision and Control and European Control Conference 2005 |
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| Period | 12/12/05 → 15/12/05 |