On the Mysteries of MAX NAE-SAT
Joshua Brakensiek, Neng Huang, Aaron Potechin, Uri Zwick

TL;DR
This paper investigates the approximability of MAX NAE-SAT, establishing new hardness results under the UGC, and presents improved algorithms for specific cases, including MAX NAE-$ ext{3}$-SAT and MAX NAE-$ ext{3,5}$-SAT.
Contribution
It proves the non-existence of a 7/8-approximation for MAX NAE-SAT assuming UGC and develops improved algorithms for MAX NAE-$ ext{3}$-SAT and MAX NAE-$ ext{3,5}$-SAT.
Findings
No 7/8-approximation for MAX NAE-SAT assuming UGC.
Optimal algorithm for MAX NAE-$ ext{3}$-SAT with ratio ~0.9089.
Approximation algorithms for MAX NAE-$ ext{3,5}$-SAT and MAX NAE-SAT with ratios ~0.8728 and ~0.8698.
Abstract
MAX NAE-SAT is a natural optimization problem, closely related to its better-known relative MAX SAT. The approximability status of MAX NAE-SAT is almost completely understood if all clauses have the same size , for some . We refer to this problem as MAX NAE--SAT. For , it is essentially the celebrated MAX CUT problem. For , it is related to the MAX CUT problem in graphs that can be fractionally covered by triangles. For , it is known that an approximation ratio of , obtained by choosing a random assignment, is optimal, assuming . For every , an approximation ratio of at least can be obtained for MAX NAE--SAT. There was some hope, therefore, that there is also a -approximation algorithm for MAX NAE-SAT, where clauses of all sizes are allowed simultaneously. Our main result is…
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