Dynamic dualization in a general setting

Hidefumi Kawasaki

研究成果: Contribution to journalArticle査読

抄録

Recently, Iwamoto, Kimura, and Ueno proposed dynamic dualization to present dual problems for unconstrained optimization problems whose objective function is a sum of squares. The aim of this paper is to show that dynamic dualization works well for unconstrained problems whose objective function is a sum of convex functions. Further we give another way to get dual problems, which is based on the infimal convolution. In both approaches we make clear the assumption for duality to hold.

本文言語英語
ページ(範囲)44-49
ページ数6
ジャーナルJournal of the Operations Research Society of Japan
60
2
DOI
出版ステータス出版済み - 4 2017

All Science Journal Classification (ASJC) codes

  • 決定科学(全般)
  • 経営科学およびオペレーションズ リサーチ

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