The solution by iteration of nonlinear equations in Hilbert spaces

Author:

Măruşter Şt.

Abstract

The weak and strong convergence of the iterates generated by x k + 1 = ( 1 t k ) x k + t k T x k ( t k R ) {x_{k + 1}} = (1 - {t_k}){x_k} + {t_k}T{x_k}({t_k} \in R) to a fixed point of the mapping T : C C T:C \to C are investigated, where C is a closed convex subset of a real Hilbert space. The basic assumptions are that T has at least one fixed point in C, and that I T I - T is demiclosed at 0 and satisfies a certain condition of monotony. Some applications are given.

Publisher

American Mathematical Society (AMS)

Subject

Applied Mathematics,General Mathematics

Reference10 articles.

1. The relaxation method for linear inequalities;Agmon, Shmuel;Canad. J. Math.,1954

2. The solution by iteration of linear functional equations in Banach spaces;Browder, F. E.;Bull. Amer. Math. Soc.,1966

3. On the set of subsequential limit points of successive approximations;Diaz, J. B.;Trans. Amer. Math. Soc.,1969

4. On the Mann iterative process;Dotson, W. G., Jr.;Trans. Amer. Math. Soc.,1970

5. Generalization of the relaxation method of Motzkin and Agmon;Eremin, I. I.;Uspehi Mat. Nauk,1965

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