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                                       Details for article 11 of 15 found articles
 
 
  Nearly Optimal First-Order Methods for Convex Optimization under Gradient Norm Measure: an Adaptive Regularization Approach
 
 
Title: Nearly Optimal First-Order Methods for Convex Optimization under Gradient Norm Measure: an Adaptive Regularization Approach
Author: Ito, Masaru
Fukuda, Mituhiro
Appeared in: Journal of optimization theory and applications
Paging: Volume 188 () nr. 3 pages 770-804
Year: 2021-01-27
Contents:
Publisher: Springer US, New York
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 11 of 15 found articles
 
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