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Approximate Counting I

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Survey claims three coarse approximation classes: problems with an FPRAS, NP‑hard ones (SAT‑level), and an intermediate class centered on BIS (counting independent sets in bipartite graphs). Tools are AP‑reductions, Markov chain/decay techniques (not detailed) and algebraic rewrites: Potts = homomorphisms to stretched stars, ferromagnetic Ising on hypergraphs = random‑cluster formulation so it reduces to BIS. Jerrum–Sinclair gives an FPRAS for graph Ising; many Potts/certain tree cases remain open.

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  1. 0:00Intro
  2. 1:17The Complexity of Approximate Counting
  3. 2:25Example: The Potts model
  4. 12:32How difficult is it to FPRAS a problem in #P?
  5. 15:36Relative Complexity of Approximate Counting
  6. 20:17Three classes of interreducible classes within #P
  7. 21:57Another impossible goal
  8. 25:13Graph Homomorphisms
  9. 35:41A trichotomy for weighted homomorphisms to trees
  10. 41:07Approximate counting problems which are =AP #BIS
  11. 46:09The ferro Ising partition function of a hypergraph
  12. 50:12#BIS Cap Ferromagnetic Hypergraph Ising
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