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Research map / Learning theory and algorithms / Sample complexity

Phase Transitions for Scale-Free SAT Formulas

AAAI 2017 · Learning theory and algorithms › Sample complexity · approach: Computational thresholds in graphs and structure · 16 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
decrease power-law exponent beta from 2.6 to 2.4 at density 2.28scale-free 3-SAT with MapleCOMSPS and march_hi · scale-free 3-SAT, m/n = 2.28solver runtime scalingHelped
increase clause length k from 3 to 4scale-free random k-SAT · phase diagramsat/unsat transition locationMixed
use scale-free instead of uniform formulasrandom 3-SAT with MiniSAT · runtime vs densityhardnessHelped
use stochastic local search probSAT instead of complete solversscale-free 3-SAT · phase diagramlower bound on satisfiable thresholdHelped
use march_hi instead of MapleCOMSPSscale-free k-SAT · satisfiable phasedensity solvedHurt

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