Open Problem—Iterative Schemes for Stochastic Optimization: Convergence Statements and Limit Theorems-Reference-Cited by-同舟云学术

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Open Problem—Iterative Schemes for Stochastic Optimization: Convergence Statements and Limit Theorems

Published:2019-09 Issue:3 Volume:9 Page:299-302
ISSN:1946-5238
Container-title:Stochastic Systems
language:en
Short-container-title:Stochastic Systems

Author:

Jalilzadeh Afrooz¹,Lei Jinlong¹,Shanbhag Uday V.¹^ORCID

Affiliation:

1. The Pennsylvania State University, State College, Pennsylvania 16801

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Reference24 articles.

1. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

2. Stochastic Trust-Region Response-Surface Method (STRONG)—A New Response-Surface Framework for Simulation Optimization

3. Stochastic optimization using a trust-region method and random models

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Introduction to the Applied Probability Society’s “Open Problems in Applied Probability” Session at the INFORMS Annual Meeting, Phoenix, Arizona, November 4–7, 2018;Stochastic Systems;2019-09

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