Uryasev, S.P. (1992). A stochastic quasigradient algorithm with variable metric. Annals of Operations Research 39 (1) 251-267. 10.1007/BF02060944.
Full text not available from this repository.Abstract
This paper deals with a new variable metric algorithm for stochastic optimization problems. The essence of this is as follows: there exist two stochastic quasigradient algorithms working simultaneously - the first in the main space, the second with respect to the matrices that modify the space variables. Almost sure convergence of the algorithm is proved for the case of the convex (possibly nonsmooth) objective function
Item Type: | Article |
---|---|
Research Programs: | Decision Analysis and Support (DAS) |
Depositing User: | Romeo Molina |
Date Deposited: | 21 Apr 2016 12:03 |
Last Modified: | 27 Aug 2021 17:26 |
URI: | https://pure.iiasa.ac.at/12859 |
Actions (login required)
View Item |