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What is the role of restarts in a satisfiability solver?

  • A.Restarting the solver when it runs out of memory
  • B.Beginning again with a different clause ordering each time
  • C.Resetting all the learned clauses to avoid excessive memory use
  • D.Abandoning a bad search path while keeping the learned clauses

Answer: D

An unlucky early decision can trap the search for a very long time, and restarting with different heuristics while retaining the learned clauses escapes without losing progress. Clause deletion policies manage memory separately. Combined with learning, restarts turn a heavy tailed runtime into a manageable one. Two mechanisms that are modest alone and transformative together are worth remembering as a pair, since neither explains the improvement by itself.

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