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Extending the Convexity of Nonlinear Image of a Ball Appearing in Optimization
- Argyros, Ioannis K.;
- Cho, Yeol Je;
- George, Santhosh
Citations
WEB OF SCIENCE
2Citations
SCOPUS
2초록
Let X, Y be Hilbert spaces and F : X -> Y be Frochet differentiable. Suppose that F' is center-Lipschitz on U(w, r ) and F'(w) be a siujection. Then, S-1 = F(U(w, epsilon(1))) is convex where epsilon(1) <= r The set S-1 contains the corresponding set given in [18] under the Lipschitz condition. Numerical examples where the old conditions are not satisfied but the new conditions are satisfied are provided in this paper.
키워드
convexity; Newton's method; optimization; control theory; image of a ball; NEWTONS METHOD; CONVERGENCE
- 제목
- Extending the Convexity of Nonlinear Image of a Ball Appearing in Optimization
- 저자
- Argyros, Ioannis K.; Cho, Yeol Je; George, Santhosh
- 발행일
- 2020-08
- 유형
- Article
- 저널명
- Contemporary Mathematics
- 권
- 1
- 호
- 4
- 페이지
- 209 ~ 214
- 언어
- ENG
- 출판사
- UNIVERSAL WISER PUBLISHER
- 발행국가
- 싱가포르
- 분량
- 6 페이지
- ISSN
- P 2705-1064