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20172022
most citedInapproximability Results for Scheduling with Interval and Resource Restrictions

1 citations · 1 across the 4 of their papers we have counts for

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cs.DS2022

Scheduling with Many Shared Resources

Max A. Deppert, Klaus Jansen, Marten Maack +2

Consider the many shared resource scheduling problem where jobs have to be scheduled on identical parallel machines with the goal of minimizing the makespan. However, each job need…

cs.DS2022

(In-)Approximability Results for Interval, Resource Restricted, and Low Rank Scheduling

Marten Maack, Simon Pukrop, Anna Rodriguez Rasmussen

We consider variants of the restricted assignment problem where a set of jobs has to be assigned to a set of machines, for each job a size and a set of eligible machines is given,…

cs.DS2022

Cardinality Constrained Scheduling in Online Models

Leah Epstein, Alexandra Lassota, Asaf Levin +2

Makespan minimization on parallel identical machines is a classical and intensively studied problem in scheduling, and a classic example for online algorithm analysis with Graham's…

cs.DS2020

Solving Packing Problems with Few Small Items Using Rainbow Matchings

Max Bannach, Sebastian Berndt, Marten Maack +4

An important area of combinatorial optimization is the study of packing and covering problems, such as Bin Packing, Multiple Knapsack, and Bin Covering. Those problems have been st…

cs.DS2019

Approximation Algorithms for Scheduling with Class Constraints

Klaus Jansen, Alexandra Lassota, Marten Maack

Assigning jobs onto identical machines with the objective to minimize the maximal load is one of the most basic problems in combinatorial optimization. Motivated by product planing…

cs.DS2019

Online Bin Covering with Limited Migration

Sebastian Berndt, Leah Epstein, Klaus Jansen +3

Semi-online models where decisions may be revoked in a limited way have been studied extensively in the last years. This is motivated by the fact that the pure online model is ofte…