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We then discuss some iterative methods that can be used to improve the Newton iterations.
This alternative formulation enables us to suggest some iterative methods for computing an approximate solution.
Some iterative methods have been proposed to find an element of ; see [1, 2].
This alternate formulation enables us to suggest some iterative methods for computing the approximate solution.
This alternative formulation enables us to suggest some iterative methods for computing the approximate solution.
Some iterative methods have been studied in problem of image recovery by numerous authors (see [2 5, 10 12]).
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For convenience of presentation, in Section 2.1, we give some classic iterative methods for linear systems.
This equivalent formulation is used to suggest and analyze some new iterative methods for this system of extended general variational inclusions.
In our previous work [1], certain set-valued dynamical systems induced by such mappings have been investigated and some new iterative methods for approximating the corresponding fixed points have been obtained.
One of the interesting directions, from the research view point, in the theory of variational inequalities is to develop some new iterative methods for computing the approximate solutions of different kinds of variational inequalities.
Because the matrix of the coefficients of the linear system (2.8) is non-symmetric, when N is large, we can use some basic iterative methods to solve it, such as the generalized minimal residual (GMRES) method (see [[19], pp.48-60]), whish is popular for solving non-symmetric linear systems.
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