activity
20162021
most citedA General Framework for Computing the Nucleolus Via Dynamic Programming

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GT2021★ 1 cited

On the Complexity of Nucleolus Computation for Bipartite b-Matching Games

Jochen Koenemann, Justin Toth, Felix Zhou

We explore the complexity of nucleolus computation in b-matching games on bipartite graphs. We show that computing the nucleolus of a simple b-matching game is NP-hard even on bipa…

cs.GT2020★ 4 cited

A General Framework for Computing the Nucleolus Via Dynamic Programming

Jochen Koenemann, Justin Toth

This paper defines a general class of cooperative games for which the nucleolus is efficiently computable. This class includes new members for which the complexity of computing the…

math.OC2019

Optimized Cranial Bandeau Remodeling

James Drake, Marina Drygala, Ricardo Fukasawa +9

Craniosynostosis, a condition affecting 1 in 2000 infants, is caused by premature fusing of cranial vault sutures, and manifests itself in abnormal skull growth patterns. Left untr…

cs.GT2018

Computing the Nucleolus of Weighted Cooperative Matching Games in Polynomial Time

Jochen Koenemann, Kanstantsin Pashkovich, Justin Toth

We provide an efficient algorithm for computing the nucleolus for an instance of a weighted cooperative matching game. This resolves a long-standing open question posed in [Faigle,…

math.CO2016★ 1 cited

An Elementary Integrality Proof of Rothblum's Stable Matching Formulation

Jochen Könemann, Kanstantsin Pashkovich, Justin Toth

In this paper we provide a short new proof for the integrality of Rothblum's linear description of the convex hull of incidence vectors of stable matchings in bipartite graphs. In…