Two-stage stochastic linear programming by a series of Monte-Carlo estimators

<p class="Abstract">In this paper a stochastic adaptive method has been developed to solve stochastic linear problems by a finite sequence of Monte-Carlo sampling estimators. The method is based on the adaptive regulation of the size of Monte-Carlo samples and a statistical terminati...

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Bibliographic Details
Main Author: Kęstutis Žilinskas
Format: Article
Language:English
Published: Klaipėda University 2015-07-01
Series:Computational Science and Techniques
Online Access:http://journals.ku.lt/index.php/CST/article/view/891