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Entropy, Capacity, and Counting

slides:none on file

Generalizes Gurvits' capacity to compute sums of polynomial coefficients over a polytope and gives a concrete algorithmic claim: with an oracle to evaluate the polynomial and a separation oracle for the polytope, one gets deterministic approximate counting within multiplicative error via an entropy-based relaxation and convex duality. Tools: real-stable polynomial facts, a dual entropy program, and the ellipsoid method; key technical bound shows an ε-approximate dual lies inside a ball of radius poly(M, log(1/ε)), making the method effective.

AI-written summary · about

  1. 0:00ENTROPY, CAPACITY, and COUNTING
  2. 2:25Counting, Polynomials, and Polytopes
  3. 8:58Perfect Matchings in Bip. Graphs
  4. 14:35Entropy and Counting a la Boltzmann
  5. 33:05Entropy Interpretation of Capacity
  6. 33:31Computing the Capacity via Ellipsoid
  7. 45:10Bounding Box 1
  8. 49:54Summary and Challenges
  9. 52:20Bounding Box 2
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