A note on a convergence theorem for a random optimization method
作者:
N. BABA,
期刊:
International Journal of Control
(Taylor Available online 1978)
卷期:
Volume 27,
issue 5
页码: 783-788
ISSN:0020-7179
年代: 1978
DOI:10.1080/00207177808922409
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The objective of this note is to investigate the convergence of the random optimization method proposed by Matyas (1965). In his paper he proved that this method ensures convergence in probability to the optimal state. However, there can be found questionable points in his proof. This paper points out these questionable points and gives the modified theorem concerning the convergence of the random optimization method.
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