Extending the Convexity of Nonlinear Image of a Ball Appearing in Optimization

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초록

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
DOI
10.37256/cm.142020405
발행일
2020-08
유형
Article
저널명
Contemporary Mathematics
권
1
호
4
페이지
209 ~ 214