Effiziente Ableitungsbestimmung bei hochdimensionaler nichtlinearer Optimierung
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| 00102087-1.pdf | 2.16 MB | Adobe PDF | View/Open |
| Other Titles: | Efficient determination of derivatives in high dimensional nonlinear optimization | Authors: | Kalmbach, Patrik | Supervisor: | Büskens, Christof | 1. Expert: | Büskens, Christof | 2. Expert: | Gerdts, Matthias | Abstract: | Calculating or approximating derivative information in an efficient way is one of the major tasks when high dimensional nonlinear optimization problems are to be solved. The thesis shows various new ways both in the area of finite differences and in the area of update formalae to tackle this problem. One of the results in this thesis is the development of a sparse BFGS-similar method for which superlinear convergence properties are shown. |
Keywords: | sparse BFGS; sparse derivatives; graph coloring; nonlinear optimization; WORHP | Issue Date: | 17-Jun-2011 | Type: | Dissertation | URN: | urn:nbn:de:gbv:46-00102087-10 | Institution: | Universität Bremen | Faculty: | FB3 Mathematik/Informatik |
| Appears in Collections: | Dissertationen |
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