316 research outputs found
Strong convergence and control condition of modified Halpern iterations in Banach spaces
Let C
be a nonempty closed convex subset of a real Banach space
X
which has a uniformly GĂąteaux differentiable norm. Let
TâÎC
and fâÎ C. Assume that {xt}
converges
strongly to a fixed point z
of T
as tâ0, where
xt
is the unique element of C
which satisfies
xt=tf(xt)+(1ât)Txt. Let {αn}
and {ÎČn} be two real sequences in (0,1) which satisfy the following conditions: (C1)limâĄnââαn=0;(C2)ân=0âαn=â;(C6)0<limâĄinfâĄnââÎČnâ€limâĄsupâĄnââÎČn<1. For arbitrary x0âC, let the sequence
{xn}
be defined iteratively by
yn=αnf(xn)+(1âαn)Txn, nâ„0,
xn+1=ÎČnxn+(1âÎČn)yn, nâ„0. Then {xn}
converges strongly to a fixed point of T
A Regularized Gradient Projection Method for the Minimization Problem
We investigate the following regularized gradient projection
algorithm xn+1=Pc(IâÎłn(âf+αnI))xn, nâ„0. Under some different control conditions, we prove that this gradient projection algorithm
strongly converges to the minimum norm solution of the minimization problem minxâCf(x)
An iterative method for fixed point problems and variational inequality problems
In this paper, we present an iterative method for fixed
point problems and variational inequality problems. Our method is based on the so-called extragradient method and viscosity approximation method. Using this method, we can find the common element of the set of fixed points of a nonexpansive mapping and the set of solutions of the variational inequality for monotone mapping
A strong convergence of a modified KrasnoselskiiâMann method for nonâexpansive mappings in Hilbert spaces
In this paper, we introduce a new method based on the wellâknown KrasnoselskiiâMann's method for nonâexpansive mappings in Hilbert spaces. We show that the proposed method has strong convergence for nonâexpansive mappings. Keywords: nonâexpansive mapping, fixed point, modified KrasnoselskiiâMann's method, strong convergence, Hilbert space.
First published online: 09 Jun 201
Extended Extragradient Methods for Generalized Variational Inequalities
We suggest a modified extragradient method for solving the generalized variational inequalities in a Banach space. We prove some strong convergence results under some mild conditions on parameters. Some special cases are also discussed
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