作者: Santosh Vempala
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摘要: The developing theory of geometric random walks is outlined here. Three aspects—general methods for estimating convergence (the “mixing” rate), isoperimetric inequalities in R and their intimate connection to walks, algorithms fundamental problems (volume computation convex optimization) that are based on sampling by walks—are discussed.