Probabilistic analysis of two heuristics for the 3-satisfiability problem
SIAM Journal on Computing
Many hard examples for resolution
Journal of the ACM (JACM)
Information Sciences: an International Journal
A survey of average time analyses of satisfiability algorithms
Journal of Information Processing
Easy problems are sometimes hard
Artificial Intelligence
A Variational Method for Analysing Unit Clause Search
SIAM Journal on Computing
Analysis of two simple heuristics on a random instance of k-SAT
Journal of Algorithms
On the complexity of unsatisfiability proofs for random k-CNF formulas
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
A sharp threshold in proof complexity
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Results related to threshold phenomena research in satisfiability: lower bounds
Theoretical Computer Science - Phase transitions in combinatorial problems
Lower bounds for random 3-SAT via differential equations
Theoretical Computer Science - Phase transitions in combinatorial problems
The Probabilistic Analysis of a Greedy Satisfiability Algorithm
ESA '02 Proceedings of the 10th Annual European Symposium on Algorithms
The analysis of a list-coloring algorithm on a random graph
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
Space complexity of random formulae in resolution
Random Structures & Algorithms
Heuristic average-case analysis of the backtrack resolution of random 3-satisfiability instances
Theoretical Computer Science
The resolution complexity of random graph k-colorability
Discrete Applied Mathematics
Hard and easy distributions of SAT problems
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Average-case complexity of backtrack search for coloring sparse random graphs
Journal of Computer and System Sciences
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A method to calculate the average size of Davis-Putnam-Loveland-Logemann (DPLL) search trees for random computational problems is introduced, and applied to the satisfiability of random CNF formulas (SAT) and the coloring of random graph (COL) problems. We establish recursion relations for the generating functions of the average numbers of (variable or color) assignments at a given height in the search tree, which allow us to derive the asymptotics of the expected DPLL tree size, 2Nω+o(N), where N is the instance size. ω is calculated as a function of the input distribution parameters (ratio of clauses per variable for SAT, average vertex degree for COL), and the branching heuristics.