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Everything about WalkSAT
Local search algorithm solving boolean satisfiability
In computer science, GSAT and WalkSAT are local search algorithms to solve Boolean satisfiability problems. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: WalkSATA 5-minute orientation
- Skim a recent paper: WalkSAT is Linear on Random 2-SATInfluential work since 2022
- Read the landmark paper: Walksat Stalls Well Below SatisfiabilityCited 24 times
- Go sideways: Boolean satisfiability algorithm heuristicsA closely related topic
- Go sideways: Boolean satisfiability problemA closely related topic
📖 Definitions
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🗂️ The subject at a glance
No outline available.
🏆 Landmark papers (most cited)
Walksat Stalls Well Below Satisfiability
Auto-Walksat: A Self-Tuning Implementation of Walksat
Complexity of several constraint-satisfaction problems using the heuristic classical algorithm WalkSAT
Improving WalkSAT By Effective Tie-Breaking and Efficient Implementation
Analyzing Walksat on Random Formulas
Planning as Propositional CSP: From Walksat to Local Search Techniques for Action Graphs
A Variable Neighborhood Walksat-Based Algorithm for MAX-SAT Problems
Improving WalkSAT for Random k-Satisfiability Problem with k > 3
🆕 Influential since 2022
📚 Books worth reading
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🔗 Related topics
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- Maximum satisfiability problem In computational complexity theory, the maximum satisfiability problem (MAX-SAT) is the problem of determining the maximum number of clauses, of a given…
- SAT solver In computer science and formal methods, a SAT solver is a computer program which aims to solve the Boolean satisfiability problem (SAT). On input a formula…
- MAXEkSAT MAXEkSAT is a problem in computational complexity theory that is a maximization version of the Boolean satisfiability problem 3SAT. In MAXEkSAT, each clause…
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- DPLL algorithm In logic and computer science, the Davis–Putnam–Logemann–Loveland (DPLL) algorithm is a complete, backtracking-based search algorithm for deciding the…