~/talk

The Complexity of Approximating Small Degree Boolean #CSP

name:Pinyan Lu
links:none on file
slides:none on file

Classifies the complexity of approximately counting solutions to Boolean constraint satisfaction problems when each variable appears in only a small number of constraints (small degree). Uses the framework of #CSP and focuses on approximation complexity for bounded-degree instances, identifying which constraint types and degree bounds yield tractable approximation algorithms (e.g., FPRAS) versus intractability (e.g., #P-hard to approximate).

AI-written summary · about

  1. 0:00Intro
  2. 0:15Counting CSP
  3. 1:18Outline
  4. 4:00#CSP over large domain
  5. 4:25#CSP with degrees at most three
  6. 6:22Examples
  7. 8:12Dichotomies for Holant
  8. 10:35Complexity of Approximate Counting
  9. 13:20A non-example from weighted version
  10. 18:49A non-example without Pinning
  11. 19:50Single symmetric relation
  12. 21:09Partial Classification (d 3)
  13. 22:06Monotone Relations
  14. 24:50d=5 (a conjecture)
  15. 25:41d=5 (an attempted proof)
  16. 29:02Holant Problems (d=2)
  17. 30:19Counting Edge Covers
  18. 30:53b-matching and b-edge-cover
  19. 31:35Taking Home Messages
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