1991/01/03 by Martin Dyer, Alan Frieze, Ravi Kannan · 7 citations
Mathematics · #Markov Chains and Monte Carlo Methods #Point processes and geometric inequalities #Stochastic processes and statistical mechanics
paper · pdf · doi:10.1145/102782.102783
openalex publication_date 1991/01/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/09
A randomized polynomial-time algorithm for approximating the volume of a convex body K in n -dimensional Euclidean space is presented. The proof of correctness of the algorithm relies on recent theory of rapidly mixing Markov chains and isoperimetric inequalities to show that a certain random walk can be used to sample nearly uniformly from within K .