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Random Structures and Algorithms
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Local algorithms for maximum cut and minimum bisection on locally treelike regular graphs of large degree

Local algorithms for maximum cut and minimum bisection on locally treelike regular graphs of large degree
Authors: El Alaoui, Ahmed; Montanari, Andrea; Sellke, Mark;

Local algorithms for maximum cut and minimum bisection on locally treelike regular graphs of large degree

Abstract

AbstractGiven a graph of degree over vertices, we consider the problem of computing a near maximum cut or a near minimum bisection in polynomial time. For graphs of girth , we develop a local message passing algorithm whose complexity is , and that achieves near optimal cut values among all ‐local algorithms. Focusing on max‐cut, the algorithm constructs a cut of value , where is the value of the Parisi formula from spin glass theory, and (subscripts indicate the asymptotic variables). Our result generalizes to locally treelike graphs, that is, graphs whose girth becomes after removing a small fraction of vertices. Earlier work established that, for random ‐regular graphs, the typical max‐cut value is . Therefore our algorithm is nearly optimal on such graphs. An immediate corollary of this result is that random regular graphs have nearly minimum max‐cut, and nearly maximum min‐bisection among all regular locally treelike graphs. This can be viewed as a combinatorial version of the near‐Ramanujan property of random regular graphs.

Keywords

FOS: Computer and information sciences, Discrete Mathematics (cs.DM), message passing, Probability (math.PR), Random graphs (graph-theoretic aspects), FOS: Physical sciences, Interacting random processes; statistical mechanics type models; percolation theory, Mathematical Physics (math-ph), maximum cut, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), Graph algorithms (graph-theoretic aspects), FOS: Mathematics, Mathematics - Combinatorics, local algorithms, graph partionning, Combinatorics (math.CO), Mathematics - Probability, Mathematical Physics, minimum bisection, Computer Science - Discrete Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green