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20122026
most citedThe TSP with drones: The benefits of retraversing the arcs

16 citations · 29 across the 19 of their papers we have counts for

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cs.DM2026

The Project Scheduling Interdiction Problem with Delay Groups

Fei Wu, Erik Demeulemeester, Jannik Matuschke

Large-scale projects are frequently delayed by correlated disruptions: when a shared input such as a common supplier, a specialized team, or a supporting platform degrades, all dep…

cs.DM2025

Stronger Hardness for Maximum Robust Flow and Randomized Network Interdiction

Jannik Matuschke

We study the following fundamental network optimization problem known as Maximum Robust Flow (MRF): A planner determines a flow on --paths in a given capacitated network. The…

cs.DM2023

Decomposing Probability Marginals Beyond Affine Requirements

Jannik Matuschke

Consider the triplet , where is a finite ground set, is a collection of subsets of and i…

cs.DM2022★ 5 cited

Decomposition of Probability Marginals for Security Games in Max-Flow/Min-Cut Systems

Jannik Matuschke

Given a set system with and , our goal is to find a probability distribution for a random set such tha…

cs.DM2021

A Constant-Factor Approximation for Generalized Malleable Scheduling under -Concave Processing Speeds

Dimitris Fotakis, Jannik Matuschke, Orestis Papadigenopoulos

In generalized malleable scheduling, jobs can be allocated and processed simultaneously on multiple machines so as to reduce the overall makespan of the schedule. The required proc…

cs.DM2021★ 1 cited

Assigning and Scheduling Generalized Malleable Jobs under Subadditive or Submodular Processing Speeds

Dimitris Fotakis, Jannik Matuschke, Orestis Papadigenopoulos

Malleable scheduling is a model that captures the possibility of parallelization to expedite the completion of time-critical tasks. A malleable job can be allocated and processed s…