IJPAM: Volume 11, No. 1 (2004)
METHODS AND THEIR APPLICATIONS
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Abstract.This paper concerns the general two-step model for projection methods and its applications to the approximation solvability of a system of nonlinear variational problems in general Hilbert spaces. First, a general model for two-step projection methods is introduced and second, it is applied to the approximation solvability of a system of nonlinear variational inequalities in a Hilbert space setting. Let be a real Hilbert space and
be a nonempty closed convex subset of
. For arbitrarily chosen initial points
,
, update sequences {
} and {
} iteratively such that
![\begin{displaymath}
x^{k + 1 }= (1 - a^{k})x^{k }+ a^{k}P_{K}[y^{k} - \rho T(y^{k})]\,,\ \ \text{for}\ \ \rho > 0\,,
\end{displaymath}](img7.png)
![\begin{displaymath}
y^{k }= (1 - b^{k})x^{k }+ b^{k}P_{K}[x^{k } - \eta T(x^{k})] \,,\ \ \text{for}\ \ \eta > 0,
\end{displaymath}](img8.png)
where









Received: September 23, 2003
AMS Subject Classification: 49J40, 65B05
Key Words and Phrases: general two-step model, system of strongly monotone nonlinear variational inequalities, projection methods, convergence of two-step projection methods
Source: International Journal of Pure and Applied Mathematics
ISSN: 1311-8080
Year: 2004
Volume: 11
Issue: 1