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- URN zum Zitieren dieses Dokuments:
- urn:nbn:de:bvb:355-epub-331499
- DOI zum Zitieren dieses Dokuments:
- 10.5283/epub.33149
Alternative Links zum Volltext:Arxiv
Zusammenfassung
For the minimization of a nonlinear cost functional j under convex constraints the relaxed projected gradient process φk+1=φk+αk(PH(φk−λk∇Hj(φk))−φk) is a well known method. The analysis is classically performed in a Hilbert space H. We generalize this method to functionals j which are differentiable in a Banach space. Thus it is possible to perform e.g. an L2 gradient method if j is only ...
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