Title
A modified convergence theorem for a random optimization method
Abstract
The purpose of this paper is to investigate the random optimization method which has been contrived for the minimization method. Concerning with the convergence of this method, Matyas gave interesting theorems. However, there is a questionable point in his proofs, and the assumptions used in them are too severe. In this paper, a modified theorem concerned with the convergence of the random optimization method is given.
Year
DOI
Venue
1977
10.1016/0020-0255(77)90026-3
Information Sciences
Field
DocType
Volume
Discrete mathematics,Mathematical optimization,Normal convergence,Compact convergence,Dominated convergence theorem,Proofs of convergence of random variables,Convergence tests,Wald's equation,Random optimization,Mathematics,Modes of convergence
Journal
13
Issue
ISSN
Citations 
2
0020-0255
11
PageRank 
References 
Authors
41.52
2
3
Name
Order
Citations
PageRank
Norio Baba113469.58
Toshio Shoman21141.52
Yoshikazu Sawaragi33471.34