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http://dx.doi.org/10.18419/opus-9219
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DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Qian, Kun | - |
dc.date.accessioned | 2017-09-11T12:41:49Z | - |
dc.date.available | 2017-09-11T12:41:49Z | - |
dc.date.issued | 2017 | de |
dc.identifier.other | 1000141993 | - |
dc.identifier.uri | http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-92369 | de |
dc.identifier.uri | http://elib.uni-stuttgart.de/handle/11682/9236 | - |
dc.identifier.uri | http://dx.doi.org/10.18419/opus-9219 | - |
dc.description.abstract | In this thesis, several numerical regularization methods and the ridge regression, which can help improve improper conditions and solve ill-posed problems, are reviewed. The determination of the optimal regularization parameter via A-optimal design, the optimal uniform Tikhonov-Phillips regularization (α-weighted biased linear estimation), which minimizes the trace of the mean square error matrix MSE(x ̂), is also introduced. Moreover, the comparison of the results derived by A-optimal design and results derived by numerical heuristic methods, such as L-curve, Generalized Cross Validation and the method of dichotomy is demonstrated. According to the comparison, the A-optimal design regularization parameter has been shown to have minimum trace of MSE(x ̂) and its determination has better efficiency. | en |
dc.language.iso | en | de |
dc.rights | info:eu-repo/semantics/openAccess | de |
dc.subject.ddc | 550 | de |
dc.subject.ddc | 620 | de |
dc.title | On the determination of proper regularization parameter : α-weighted BLE via A-optimal design and its comparison with the results derived by numerical methods and ridge regression | en |
dc.type | bachelorThesis | de |
ubs.fakultaet | Luft- und Raumfahrttechnik und Geodäsie | de |
ubs.institut | Geodätisches Institut | de |
ubs.publikation.seiten | XI, 47 | de |
ubs.publikation.typ | Abschlussarbeit (Bachelor) | de |
Enthalten in den Sammlungen: | 06 Fakultät Luft- und Raumfahrttechnik und Geodäsie |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
BA_fertig_QianKun_25072017.pdf | 1,39 MB | Adobe PDF | Öffnen/Anzeigen |
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