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Classifying the Complexity of SAT and CSP: Are we there yet?

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Classifies when finite-domain SAT/CSP are tractable versus NP-complete by pinning complexity to actual algebraic symmetries: polymorphisms control gadget reductions and trivial polymorphisms imply NP-completeness while nontrivial ones give algorithms. Key claims: the Feder–Vardi dichotomy becomes an algebraic dichotomy proved 2017 (Bulatov and Zhuk); main algorithms are local consistency and the few-subpowers/recursive reductions; promise CSPs (PCSP) generalize CSP and force infinite relaxations (LP/affine) and topology in some cases. Concrete gaps remain: 3-colorable→find coloring needs ≈N^(1/5) colors best known, NP-hard to find 5-coloring.

AI-written summary · about

  1. 0:00Intro
  2. 0:35GENERALIZED SATISFIABILITY
  3. 2:03Schaefer's dichotomy
  4. 8:24The Constraint Satisfaction Problem (CSP)
  5. 11:27The Feder-Vardi CSP Dichotomy Conjecture
  6. 19:11The insights of Jeavons et al.
  7. 23:25General theory of gadget reductions
  8. 27:11Trivial and non-trivial symmetries
  9. 34:46Structural universal algebra
  10. 38:14Two main algorithmic ideas for CSP
  11. 40:09The Bulatov-Zhuk CSP Dichotomy Theorem
  12. 44:17Approximate graph colouring
  13. 49:42Promise CSP (PCSP)
  14. 51:06Boolean PCSP
  15. 52:54Extended theory of gadget reductions
  16. 53:16Promise graph homomorphisms
  17. 55:31Summary
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