activity
20162025
most citedThe parameterized complexity of finding secluded solutions to some classical optimization problems on graphs

9 citations · 47 across the 26 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CC2022

Hardness of Interval Scheduling on Unrelated Machines

Danny Hermelin, Yuval Itzhaki, Hendrik Molter +1

We provide new (parameterized) computational hardness results for Interval Scheduling on Unrelated Machines. It is a classical scheduling problem motivated from just-in-time or lea…

cs.DS2022

Counting Temporal Paths

Jessica Enright, Kitty Meeks, Hendrik Molter

The betweenness centrality of a vertex v is an important centrality measure that quantifies how many optimal paths between pairs of other vertices visit v. Computing betweenness ce…

cs.DS2022★ 1 cited

Minimizing the Weighted Number of Tardy Jobs via (max,+)-Convolutions

Danny Hermelin, Hendrik Molter, Dvir Shabtay

The problem asks to determine -- given jobs each with its own processing time, weight, and due date -- the minimum weighted number of tardy jobs in any s…

cs.DS2022

The complexity of computing optimum labelings for temporal connectivity

Nina Klobas, George B. Mertzios, Hendrik Molter +1

A graph is temporally connected if there exists a strict temporal path, i.e. a path whose edges have strictly increasing labels, from every vertex to every other vertex . In…

cs.DS2022

Delay-Robust Routes in Temporal Graphs

Eugen Füchsle, Hendrik Molter, Rolf Niedermeier +1

Most transportation networks are inherently temporal: Connections (e.g. flights, train runs) are only available at certain, scheduled times. When transporting passengers or commodi…

cs.DS2022

Temporal Connectivity: Coping with Foreseen and Unforeseen Delays

Eugen Füchsle, Hendrik Molter, Rolf Niedermeier +1

Consider planning a trip in a train network. In contrast to, say, a road network, the edges are temporal, i.e., they are only available at certain times. Another important difficul…