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The challenge of linear-time Boltzmann sampling

By Andrea Sportiello

Appears in collection : AofA: Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms / AofA: méthodes probabilistes, combinatoires et asymptotiques pour l analyse d algorithmes

Let $X_{n}$ be an ensemble of combinatorial structures of size $N$, equipped with a measure. Consider the algorithmic problem of exactly sampling from this measure. When this ensemble has a ‘combinatorial specification, the celebrated Boltzmann sampling algorithm allows to solve this problem with a complexity which is, typically, of order $N(3/2)$. Here, a factor $N$ is inherent to the problem, and implied by the Shannon bound on the average number of required random bits, while the extra factor $N$.

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Citation data

  • DOI 10.24350/CIRM.V.19540303
  • Cite this video Sportiello, Andrea (24/06/2019). The challenge of linear-time Boltzmann sampling. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19540303
  • URL https://dx.doi.org/10.24350/CIRM.V.19540303

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