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A relaxed projection method for variational inequalities. (English) Zbl 0598.49024
Let K be a closed convex set in ${R}^{n}$, f a mapping from ${R}^{n}$ into itself, then consider the problem of finding $u\in K$ such that (*) (f(u),v-u)$\ge 0$, for all $v\in K$. It is well known that the projection methods can be used to find the approximate solution of (*) numerically. In this paper, the author presents a modification. In the proposed modified algorithm, each iteration consists of a projection onto a half space containing the given closed set rather the latter set itself, which makes the implementation of the algorithm easy as compared to the standard projection methods. Convergence criteria are also discussed along with some examples.
Reviewer: M.A.Noor

##### MSC:
 49M20 Methods of relaxation type in calculus of variations 49J40 Variational methods including variational inequalities 65K10 Optimization techniques (numerical methods) 47H05 Monotone operators (with respect to duality) and generalizations
##### Keywords:
projection methods; algorithm; Convergence criteria
##### References:
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