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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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