~/talk

On the Complexity of #CSP^d

Talkat ITCS 2021 · 2021-01-06..01-08
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Proves a full dichotomy for Counting-CSP^d: for any finite function set F over a finite domain the partition function is computable in polynomial time exactly when the closure W_F^d satisfies three structural conditions, and otherwise the problem is #P‑hard by reductions from counting‑CSP (or suitable gadgeted CSP_G) and Holant‑style constructions. Uses complex‑valued weights, closure under variable summation and permutation to build algorithms, and a hardness path that leverages d‑occurrence restriction and standard CSP gadget reductions.

AI-written summary · about

  1. 0:00Intro
  2. 0:19Constraint Satisfaction Problem (CSP)
  3. 3:34Functions Defined by Instances
  4. 7:05A More Expressive Framework?
  5. 9:44Complexity of Holant Problems
  6. 13:18Explicit vs Nonexplicit Criteria
  7. 16:47Algorithmic Part
  8. 18:44Hardness Part
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