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Yuri Ermoliev
Researcher at International Institute for Applied Systems Analysis
Publications - 184
Citations - 3645
Yuri Ermoliev is an academic researcher from International Institute for Applied Systems Analysis. The author has contributed to research in topics: Stochastic optimization & Stochastic programming. The author has an hindex of 28, co-authored 178 publications receiving 3430 citations. Previous affiliations of Yuri Ermoliev include International Institute of Minnesota.
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BookDOI
Numerical techniques for stochastic optimization
TL;DR: This is a comprehensive and timely overview of the numerical techniques that have been developed to solve stochastic programming problems and comprehensively covers all major advances in the field (both Western and Soviet).
Journal ArticleDOI
Stochastic quasigradient methods and their application to system optimization
TL;DR: Stochastic quasigradient methods generalize the well-known stochastic approximation methods for uncnstrained optimization of the expectation of a random function to problems involving general constraints for deterministic nonlinear optimization problems.
Journal ArticleDOI
On Optimal Allocation of Indivisibles Under Uncertainty
TL;DR: A general stochastic search procedure is proposed, which develops the concept of the branch-and-bound method, and the main idea is to process large collections of possible solutions and to devote more attention to the most promising groups.
Book ChapterDOI
Stochastic quasigradient methods
TL;DR: An apparatus and associated method for conditioning or reconditioning oil well drilling mud, comprising multiple hoppers for holding dry additive, has a mechanism permitting the additive to be fed into an entrainment chamber at controlled, pre-selected rates.