Jung Im Kang
Gyeongsang National University
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Publication
Featured researches published by Jung Im Kang.
Journal of Inequalities and Applications | 2011
Abbas Najati; Jung Im Kang; Yeol Je Cho
Lex X be a normed space and Y be a Banach fuzzy space. Let D = {(x, y) ∈ X × X : ||x|| + ||y|| ≥ d} where d > 0. We prove that the Pexiderized Jensen functional equation is stable in the fuzzy norm for functions defined on D and taking values in Y. We consider also the Pexiderized Cauchy functional equation.2000 Mathematics Subject Classification: 39B22; 39B82; 46S10.
Applied Mathematics and Computation | 2010
Yisheng Song; Jung Im Kang; Yeol Je Cho
In this paper, three iterations are designed to approach zeros of set-valued accretive operators in Banach spaces. The first one is the continuous Picard type iteration involving the resolvent, the second one is the approximate Picard type iteration involving the resolvent and the third one is the Halpern type iteration involving the resolvent. Some strong convergence theorems for three iterations are proved.
Fixed Point Theory and Applications | 2013
Yonghong Yao; Jung Im Kang; Yeol Je Cho; Yeong-Cheng Liou
In this paper, we propose two new algorithms for finding a common fixed point of a nonexpansive semigroup in Hilbert spaces and prove some strong convergence theorems for nonexpansive semigroups. Our results improve and generalize the corresponding results given by Shimizu and Takahashi (J. Math. Anal. Appl. 211:71-83, 1997), Shioji and Takahashi (Nonlinear Anal. TMA 34:87-99, 1998), Lau et al. (Nonlinear Anal. TMA 67:1211-1225, 2007) and many others.MSC:47H05, 47H10, 47H17.
International Journal of Mathematics and Mathematical Sciences | 2004
Haiyun Zhou; Jung Im Kang; Shin Min Kang; Yeol Je Cho
We prove some convergence theorems of the modified Ishikawa iterative sequence with errors for uniformly quasi-Lipschitzian mappings in metric spaces. Our results generalize and improve the corresponding results of Petryshyn and Williamson, Ghosh and Debnath, Liu, and many others.
Journal of Inequalities and Applications | 2013
Yonghong Yao; Jung Im Kang; Yeol Je Cho; Yeong-Cheng Liou
AbstractLet C be a nonempty closed convex subset of a Hilbert space H, and let T:H→H be a nonlinear mapping. It is well known that the following classical variational inequality has been applied in many areas of applied mathematics, modern physical sciences, computerized tomography and many others. Find a point x∗∈C such that A〈Tx∗,x−x∗〉≥0,∀x∈C. In this paper, we consider the following variational inequality. Find a point x∗∈C such that B〈(F−γf)x∗,x−x∗〉≥0,∀x∈C, and, for solutions of the variational inequality (B) with the feasibility set C, which is the intersection of the set of solutions of an equilibrium problem and the set of a solutions of a variational inclusion, construct the two composite schemes, that is, the implicit and explicit schemes to converge strongly to the unique solution of the variational inequality (B).Recently, many authors introduced some kinds of algorithms for solving the variational inequality problems, but, in fact, our two schemes are more simple for finding solutions of the variational inequality (B) than others.MSC:49J30, 47H10, 47H17, 49M05.
Journal of Inequalities and Applications | 2005
Ya-ping Fang; Nan-jing Huang; Jung Im Kang; Yeol Je Cho
We introduce and study a new class of generalized nonlinear implicit quasivariational inclusions involving relaxed Lipschitzian mappings. We prove the existence of solution for the generalized nonlinear implicit quasivariational inclusions and construct some new stable perturbed iterative algorithms with errors. We also give an application to a class of generalized nonlinear implicit variational inequalities.
Communications of The Korean Mathematical Society | 2004
Jung Im Kang; Yeol Je Cho; Haiyun Zhou
In this paper, we will prove the following: Let D be a nonempty subset of a normed linear space X and T : D ! X be a nonexpansive mapping. Let fxng be a sequence in D and ftng, fsng be real sequences such that (i) 0 • tnt < 1 and P 1=1 tn = 1, (ii) (a) 0 • sn • 1; sn ! 0 as n ! 1 and P 1=1 tnsn < 1 or (b) sn = s for all n ‚ 1 and s 2 (0;1), (iii) xn+1 = (1itn)xn+tnT(snTxn+(1isn)xn) for all n ‚ 1. Then, if the sequence fxng is bounded, then
Nonlinear Analysis-theory Methods & Applications | 2009
Yeol Je Cho; Xiaolong Qin; Jung Im Kang
Journal of Computational and Applied Mathematics | 2009
Xiaolong Qin; Yeol Je Cho; Jung Im Kang; Shin Min Kang
Taiwanese Journal of Mathematics | 2007
Heng-you Lan; Jung Im Kang; Yeol Je Cho