On Weak and Strong Convergence of the Projected Gradient Method for Convex Optimization in Real Hilbert Spaces
نویسندگان
چکیده
منابع مشابه
On the strong convergence theorems by the hybrid method for a family of mappings in uniformly convex Banach spaces
Some algorithms for nding common xed point of a family of mappings isconstructed. Indeed, let C be a nonempty closed convex subset of a uniformlyconvex Banach space X whose norm is Gateaux dierentiable and let {Tn} bea family of self-mappings on C such that the set of all common fixed pointsof {Tn} is nonempty. We construct a sequence {xn} generated by the hybridmethod and also we give the cond...
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When applied to an unconstrained minimization problem with a convex objective, the steepest descent method has stronger convergence properties than in the noncovex case: the whole sequence converges to an optimal solution under the only hypothesis of existence of minimizers (i.e. without assuming e.g. boundedness of the level sets). In this paper we look at the projected gradient method for con...
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In this paper, we introduce a new iterative algorithm for approximating a common solution of certain class of multiple-sets split variational inequality problems. The sequence of the proposed iterative algorithm is proved to converge strongly in Hilbert spaces. As application, we obtain some strong convergence results for some classes of multiple-sets split convex minimization problems.
متن کاملon the strong convergence theorems by the hybrid method for a family of mappings in uniformly convex banach spaces
some algorithms for nding common xed point of a family of mappings isconstructed. indeed, let c be a nonempty closed convex subset of a uniformlyconvex banach space x whose norm is gateaux dierentiable and let {tn} bea family of self-mappings on c such that the set of all common fixed pointsof {tn} is nonempty. we construct a sequence {xn} generated by the hybridmethod and also we give the ...
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ژورنال
عنوان ژورنال: Numerical Functional Analysis and Optimization
سال: 2016
ISSN: 0163-0563,1532-2467
DOI: 10.1080/01630563.2015.1080271