Universität Wien
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250548 VO Decomposition Techniques in Optimization (2006W)

Decomposition Techniques in Optimization

4.00 ECTS (2.00 SWS), SPL 25 - Mathematik

Erstmals am Dienstag, 3. Oktober 2006

Details

Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 03.10. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 10.10. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 17.10. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 24.10. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 31.10. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 07.11. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 14.11. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 21.11. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 28.11. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 05.12. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 12.12. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 09.01. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 16.01. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 23.01. 09:00 - 10:30 (ehem. Seminarraum A 1.01)
  • Tuesday 30.01. 09:00 - 10:30 (ehem. Seminarraum A 1.01)

Information

Aims, contents and method of the course

Decomposition techniques in linear Programming (LP), Decomposition techniques in nonlinear Programming (NLP), Decomposition
techniques in discrete Programming (DP), Nonserial dynamic programming, Tree decomposition for discrete optimization problems.

Assessment and permitted materials

Minimum requirements and assessment criteria

Basic concepts of decomposition techniques in LP, NLP,
DP. Knowledge about decomposition algorithms of solving optimization problems.

Examination topics

The Dantzig-Wolfe decomposition algorithm, Benders decomposition, nonserial dynamic programming, tree decomposition.

Reading list

Conejo A.J., Castillo E., Minguez R., Garcia-Bertrand R. Decomposition techniques in mathematical programming. Springer-Verlag, 2006. Bertele U., Brioschi F. Nonserial dynamic programming. N.Y.: Academic
Press, 1972.
Hicks I.V., Koster A.M.C.A., Kolotoglu E. Branch and Tree Decomposition
Techniques for Discrete Optimization. Tutorials in Operations Research.
INFORMS-New Orleans, 2005.

Association in the course directory

Last modified: Mo 07.09.2020 15:40