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  An efficient global algorithm for worst-case linear optimization under uncertainties based on nonlinear semidefinite relaxation
 
 
Title: An efficient global algorithm for worst-case linear optimization under uncertainties based on nonlinear semidefinite relaxation
Author: Ding, Xiaodong
Luo, Hezhi
Wu, Huixian
Liu, Jianzhen
Appeared in: Computational optimization and applications
Paging: Volume 80 () nr. 1 pages 89-120
Year: 2021-06-18
Contents:
Publisher: Springer US, New York
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 3 of 11 found articles
 
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