Technical Note—Using a Monte Carlo Method for Optimizing Smoothed Functional
Y. Rubinstein
Additional contact information
Y. Rubinstein: Technion—Israel Institute of Technology, Haifa, Israel
Operations Research, 1977, vol. 25, issue 4, 720-724
Abstract:
This note deals with optimization problems involving insufficient a priori information on the controlled object. We consider a parametric statistical gradient algorithm that uses an increasing number of observations and gives convergence conditions for optimizing a smoothed functional.
Date: 1977
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1287/opre.25.4.720 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:25:y:1977:i:4:p:720-724
Access Statistics for this article
More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().