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978-3-8439-4030-6, Reihe Informatik

Daniel Schmand
Strategic Decisions and Uncertainties

185 Seiten, Dissertation Rheinisch-Westfälische Technische Hochschule Aachen (2019), Softcover, B5

Zusammenfassung / Abstract

In many real-life optimization problems, calculating and implementing optimal solutions to the underlying system is very challenging. Relevant information might only be known step-by-step or could even remain uncertain to the end. The problems might be too complex to be solved efficiently or a decision maker might be unable to implement a calculated solution due to externally given rules.

In this work, we study four different optimization problems under the uncertainty aspects mentioned above. We define and analyze a competitive variant of the packet routing problem, we study natural and fast approximation algorithms for the resource allocation problem, we consider a dynamic setting of prophet inequalities with a minimization objective, and finally, we analyze solution concepts for robust and dynamic network flows.