Optimal parameter selections for a general Halpern iteration

Citations

WEB OF SCIENCE

5
Citations

SCOPUS

6

초록

Let C be a closed affine subset of a real Hilbert space H and T : C -> C be a nonexpansive mapping. In this paper, for any fixed u is an element of C, a general Halpern iteration process: {x(0) is an element of C, x(n+1) = t(n)u + (1 - t(n))Tx(n), n >= 0, is considered for finding a fixed point of T nearest to u, where the parameter sequence {t(n)} is selected in the real number field, R. The core problem to be addressed in this paper is to find the optimal parameter sequence so that this iteration process has the optimal convergence rate and to give some numerical results showing advantages of our algorithms. Also, we study the problem of selecting the optimal parameters for a general viscosity approximation method and apply the results obtained from this study to solve a class of variational inequalities.

키워드

Fixed pointNonexpansive mappingStrong convergenceHalpern iterationOptimal parameter selectionSTRONG-CONVERGENCE THEOREMSAPPROXIMATING FIXED-POINTSNONEXPANSIVE-MAPPINGSPROJECTION METHODWEAK-CONVERGENCEOPERATORSISHIKAWA
제목
Optimal parameter selections for a general Halpern iteration
저자
He, SongnianWu, TaoCho, Yeol JeRassias, Themistocles M.
DOI
10.1007/s11075-018-00650-1
발행일
2019-12
유형
Article
저널명
Numerical Algorithms
82
4
페이지
1171 ~ 1188