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Impact of difference-of-convex-functions split selection on convergence of QCQPs

Student(en):

Betreuer:

Sandro Merkli
Beschreibung:

The difference-of-convex functions approach is a method for locally solving non-convex problems. While the basic theory for the approach is already treated, some parameters in the method can be chosen freely. Initial experiments showed that the choice of these free parameters strongly affects the speed with which the algorithm converges.

In this thesis, the goal is to investigate several different methods of this splitting for so-called quadratically-constrained quadratic problems (wiki article) arising in power flow optimization applications.

Weitere Informationen
Professor:

Roy Smith
Projektcharakteristik:

Typ:
Art der Arbeit:
Voraussetzungen: Basic knowledge about convex optimization and programming.
Anzahl StudentInnen:
Status: open
Projektstart:
Semester: