Geometric Random Walks: a Survey

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.

参考文章(2)
S. Kirkpatrick, C. D. Gelatt, M. P. Vecchi, Optimization by Simulated Annealing Science. ,vol. 220, pp. 671- 680 ,(1983) , 10.1126/SCIENCE.220.4598.671
Martin Grötschel, László Lovász, Alexander Schrijver, Geometric Algorithms and Combinatorial Optimization ,(1988)