Hiding Quiet Solutions in Random Constraint Satisfaction Problems

Krzakala, Florent, Zdeborová, Lenka

arXiv.org Artificial Intelligence 

We study constraint satisfaction problems on the so-called 'planted' random ensemble. We show that for a certain class of problems, e.g. graph coloring, many of the properties of the usual random ensemble are quantitatively identical in the planted random ensemble. We study the structural phase transitions, and the easy/hard/easy pattern in the average computational complexity. We also discuss the finite temperature phase diagram, finding a close connection with the liquid/glass/solid phenomenology.

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