Sequential convex programming in theory and praxis
Please always quote using this URN: urn:nbn:de:bvb:20-opus-35513
- In this paper, convex approximation methods, suclt as CONLIN, the method of moving asymptotes (MMA) and a stabilized version of MMA (Sequential Convex Programming), are discussed with respect to their convergence behaviour. In an extensive numerical study they are :finally compared with other well-known optimization methods at 72 examples of sizing problems.
Author: | Christian Zillober |
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URN: | urn:nbn:de:bvb:20-opus-35513 |
Document Type: | Conference Proceeding |
Faculties: | Fakultät für Mathematik und Informatik / Institut für Mathematik |
Language: | English |
Year of Completion: | 1993 |
Source: | In: Structural Optimization 93: The World Congress on Optimal Design of Structural Systems, Rio de Janeiro, 2.-6. August 1993 / J. Herskovits. - 79-86. |
Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik |
Release Date: | 2009/08/19 |