Stochastic approximation

成果类型:
Editorial Material
署名作者:
Lai, TL
署名单位:
Stanford University
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/aos/1051027873
发表日期:
2003
页码:
391-406
关键词:
perturbation gradient approximation adaptive-control least-squares algorithms optimization systems models CONVERGENCE
摘要:
Stochastic approximation, introduced by Robbins and Monro in 1951, has become an important and vibrant subject in optimization, control and signal processing. This paper reviews Robbins' contributions to stochastic approximation and gives an overview of several related developments.