On the Complexity of Nucleolus Computation for Bipartite b-Matching Games
Jochen Koenemann, Justin Toth, Felix Zhou

TL;DR
This paper investigates the computational complexity of finding the nucleolus in bipartite b-matching games, revealing NP-hardness in general but providing efficient algorithms for specific bounded cases.
Contribution
It proves NP-hardness of nucleolus computation for simple b-matching games on bipartite graphs and offers efficient algorithms for cases where b values are limited to 2.
Findings
NP-hardness of nucleolus computation for simple b-matching games.
Efficient algorithms for cases with bounded b values, especially b=2.
Partial positive results for special cases with limited b-value vertices.
Abstract
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 bipartite graphs of maximum degree 7. We complement this with partial positive results in the special case where b values are bounded by 2. In particular, we describe an efficient algorithm when a constant number of vertices satisfy b(v) = 2 as well as an efficient algorithm for computing the non-simple b-matching nucleolus when b = 2.
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Taxonomy
TopicsGame Theory and Voting Systems · Complexity and Algorithms in Graphs · Advanced Graph Theory Research
