A survey of sufficient descent conjugate gradient methods for unconstrained optimization

Yasushi Narushima, Hiroshi Yabe

研究成果: Article査読

7 被引用数 (Scopus)

抄録

In this decade, nonlinear conjugate gradient methods have been focused on as effective numerical methods for solving large-scale unconstrained optimization problems. Especially, nonlinear conjugate gradient methods with the sufficient descent property have been studied by many researchers. In this paper, we review sufficient descent nonlinear conjugate gradient methods.

本文言語English
ページ(範囲)167-203
ページ数37
ジャーナルSUT Journal of Mathematics
50
2
出版ステータスPublished - 2014 1 1
外部発表はい

ASJC Scopus subject areas

  • Mathematics(all)

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