Skip navigation
SuUB logo
DSpace logo

  • Home
  • Institutions
    • University of Bremen
    • City University of Applied Sciences
    • Bremerhaven University of Applied Sciences
  • Sign on to:
    • My Media
    • Receive email
      updates
    • Edit Account details

Citation link: http://nbn-resolving.de/urn:nbn:de:gbv:46-00102087-10
00102087-1.pdf
OpenAccess
 
copyright

Effiziente Ableitungsbestimmung bei hochdimensionaler nichtlinearer Optimierung


File Description SizeFormat
00102087-1.pdf2.16 MBAdobe PDFView/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

  

Page view(s)

100
checked on Jan 26, 2021

Download(s)

28
checked on Jan 26, 2021

Google ScholarTM

Check


Items in Media are protected by copyright, with all rights reserved, unless otherwise indicated.

Legal notice -Feedback -Data privacy
Media - Extension maintained and optimized by Logo 4SCIENCE