Suboptimality of local algorithms for a class of max-cut problems
© Institute of Mathematical Statistics, 2019. We show that in random K-uniform hypergraphs of constant average degree, for even K ≥ 4, local algorithms defined as factors of i.i.d. can not find nearly maximal cuts, when the average degree is sufficiently large. These algorithms have been used freque...
Main Authors: | Chen, Wei-Kuo, Gamarnik, David, Panchenko, Dmitry, Rahman, Mustazee |
---|---|
Other Authors: | Sloan School of Management |
Format: | Article |
Language: | English |
Published: |
Institute of Mathematical Statistics
2021
|
Online Access: | https://hdl.handle.net/1721.1/134436 |
Similar Items
-
On the max-cut of sparse random graphs
by: Gamarnik, David, et al.
Published: (2019) -
Performance of Sequential Local Algorithms for the Random NAE-$K$-SAT Problem
by: Gamarnik, David, et al.
Published: (2017) -
An auction algorithm for the max-flow problem
Published: (2003) -
A Randomized Algorithm for the MaxFS Problem
by: Amaldi, E, et al.
Published: (2005) -
On approximate graph colouring and max-k-cut algorithms based on the θ-function
by: Klerk, Etienne de., et al.
Published: (2013)