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math.OC2024
A robust optimization approach to flow decomposition
Moritz Stinzendörfer, Philine Schiewe, Fabricio Oliveira
In this paper, we generalize the minimum flow decomposition problem (MFD) to incorporate uncertain edge capacities and tackle it from the perspective of robust optimization. In the…
math.OC2024★ 8 cited
Quantum Computing for Discrete Optimization: A Highlight of Three Technologies
Alexey Bochkarev, Raoul Heese, Sven Jäger +2
Quantum optimization has emerged as a promising frontier of quantum computing, providing novel numerical approaches to mathematical optimization problems. The main goal of this pap…