2 citations · 4 across the 10 of their papers we have counts for
5 papers · 1 filter
Speed-Robust Scheduling -- Sand, Bricks, and Rocks
Franziska Eberle, Ruben Hoeksma, Nicole Megow +3
The speed-robust scheduling problem is a two-stage problem where given machines, jobs must be grouped into at most bags while the processing speeds of the given machine…
Fully Dynamic Algorithms for Knapsack Problems with Polylogarithmic Update Time
Franziska Eberle, Nicole Megow, Lukas Nölke +2
Knapsack problems are among the most fundamental problems in optimization. In the Multiple Knapsack problem, we are given multiple knapsacks with different capacities and items wit…
On Hop-Constrained Steiner Trees in Tree-Like Metrics
Martin Böhm, Ruben Hoeksma, Nicole Megow +2
We consider the problem of computing a Steiner tree of minimum cost under a hop constraint which requires the depth of the tree to be at most . Our main result is an exact algor…
Online metric algorithms with untrusted predictions
Antonios Antoniadis, Christian Coester, Marek Elias +2
Machine-learned predictors, although achieving very good results for inputs resembling training data, cannot possibly provide perfect predictions in all situations. Still, decision…
Discovering and Certifying Lower Bounds for the Online Bin Stretching Problem
Martin Böhm, Bertrand Simon
There are several problems in the theory of online computation where tight lower bounds on the competitive ratio are unknown and expected to be difficult to describe in a short for…