Stochastic Quasigradient Methods and their Implications

Ermoliev, Y.M. & Gaivoronski, A.A. (1984). Stochastic Quasigradient Methods and their Implications. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-84-055

[thumbnail of WP-84-055.pdf]

Download (1MB) | Preview


A number of stochastic quasigradient methods are discussed from the point of view of implementation. The discussion revolves around the interactive package of stochastic optimization routines (STO) recently developed by the Adaptation and Optimization group at IIASA. (This package is based on the stochastic and nondifferentiable optimization package (NDO) developed at the V. Glushkov Institute of Cybernetics in Kiev.) The IIASA implementation is described and its use illustrated by application to three problems which have arisen in various IIASA projects.

Item Type: Monograph (IIASA Working Paper)
Research Programs: Adaption and Optimization (ADO)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 01:54
Last Modified: 27 Aug 2021 17:11

Actions (login required)

View Item View Item