Abstract
In this work, we study some basic properties of the set of common attractive points and prove strong convergence results for common attractive points of two generalized nonexpansive mappings in a uniformly convex Banach space. As a consequence, we obtain a common fixed point result of such mappings and apply it to solving the convex minimization problem. Finally, numerical experiments are given to support our results.
Keywords:
common attractive point; generalized nonexpansive mapping; iterative method; uniformly convex Banach space; convergence; approximation; convex minimization MSC:
47H09; 47H10; 65J15
1. Introduction
Throughout this paper, let and be the sets of positive integers and real numbers, respectively. When C is a subset of a Banach space a mapping is called nonexpansive if for every The set of fixed points of T is denoted by ; that is, A mapping is said to be quasi-nonexpansive [] if and for every and for every . It is easy to see that nonexpansive mappings with fixed points are included in the class of quasi-nonexpansive mappings.
Fixed point theory can solve not only problems in sciences and economics but also real-world problems (see [,,,,,] for examples). Specifically, the theory of nonexpansive mappings plays a crucial role, because it can be applied to plenty of problems, such as convex minimization problems, optimization problems, equilibrium problems and problems of proving the existence of solutions to integral and differential equations. Consequently, many generalized nonexpansive mappings have been studied in a variety of directions. In this work, we focus on a generalized mapping defined by Hardy and Rogers [] as: a mapping is called generalized nonexpansive if
for every where and are nonnegative constants such that . It was also mentioned that condition (1) is equivalent with
for every where b and c are nonnegative constants such that By letting and , we can see that every nonexpansive mapping is a generalized nonexpansive mapping. It is well-known from [] that every generalized nonexpansive mapping with a fixed point is a quasi-nonexpansive mapping.
In 1953, Mann [] introduced the following iterative scheme to approximate fixed points of a nonexpansive mapping T:
where is a sequence in .
It is also known that, in general, Mann iteration does not necessarily converge to fixed points of nonexpansive mappings. Thus, in 1974, Ishikawa iteration [] was introduced to approximate fixed points of such mappings as:
where and are sequences in .
In 1998, Xu [] introduced the following iterative scheme, called Mann iteration with error terms, for nonexpansive mappings:
where , and are sequences in such that and is a bounded sequence in C. This scheme reduces to Mann iteration if .
When studying two mappings we recall that is a common fixed point of and if The set of all common fixed points of and is denoted by . Moreover,
To study convergence theorems for common fixed points of two mappings, Das and Debata [] and Takahashi and Tamura [] constructed the following iterative scheme:
where and are sequences in . If , then the scheme reduces to an Ishikawa iterative scheme.
Lui et al. [] introduced the following iterative process to prove weak and strong convergence theorems of common fixed points for a pair of nonexpansive and asymptytotically nonexpansive mappings:
where and are sequences in .
Recently, Ali and Ali [] proved a convergence theorem for common fixed points of the Mann iteration for two generalized nonexpansive mappings in uniformly convex Banach spaces. They defined a sequence as follows:
where , and are sequences in such that .
Another concept that relates to fixed points is the concept of attractive points, which was first introduced in Hilbert spaces by Takahashi and Takeuchi []. Let H be a Hilbert space, and let be a mapping, where C is a nonempty subset of H. The set of all attractive points of T is denoted by ; that is,
The authors proved an ergodic convergence theorem to find an attractive point of some nonlinear mappings without assuming convexity of its domain. Moreover, the authors [] proved that relates to as follows.
Lemma 1.
Let C be a nonempty closed convex subset of H, and let T be a mapping from C into itself. If , then .
Lemma 2.
Let C be a nonempty subset of H, and let T be a mapping from C into H. Then, is a closed convex subset of H.
Furthermore, we also know the following lemma from Takahashi et al. [] for quasi-nonexpansive mappings.
Lemma 3.
Let C be a nonempty subset of H, and let T be a quasi-nonexpansive mapping from C into Then, .
In 2018, Khan [] extended the concept of attractive points to the case of two mappings in Hilbert spaces. Let , where C is a nonempty subset of The set of all common attractive points for and is denoted by ; that is,
Moreover, The next properties were proven by Khan [].
Lemma 4.
Let C be a nonempty closed convex subset of H, and let be two mappings. If , then .
Lemma 5.
Let C be a nonempty subset of H, and let be two mappings. Then, is a closed convex subset of H.
Lemma 6.
Let C be a nonempty subset of H, and let be two quasi-nonexpansive mappings. Then, .
Furthermore, there are many results of common attractive point theorems in a Hilbert space (see [,,], and references therein).
In 2013, Lin and Takahashi [] introduced the concept of attractive points of a nonlinear mapping in the Banach spaces setting. In 2015, Zheng [] proved convergence theorems for attractive points, defined in (9), of some generalized nonexpansive mappings in uniformly convex Banach spaces. Moreover, there are more studies about attractive points for nonlinear mappings in Banach spaces (see [,,,,]).
In this paper, motivated by all results mentioned above, we study some basic properties of the set of common attractive points, defined in (10), for two nonlinear mappings in the setting of uniformly convex Banach spaces. Furthermore, we prove strong convergence theorems of common attractive points of the Mann iteration (8) for two generalized nonexpansive mappings in a uniformly convex Banach space without closedness of the domain of such mappings. Using this result, we obtain strong convergence theorems of common fixed points in a uniformly convex Banach space and solve a convex minimization problem in Hilbert spaces. Finally, to support our results, a numerical example is given.
2. Preliminaries
Let be a sequence in a Banach space X. We denote the strong convergence of to by . A Banach space X is called uniformly convex if for each there is such that
Remark 1.
Hilbert spaces are uniformly convex (see []).
Definition 1
([]). A subset C of a normed linear space X is said to be an existence subset of X if and only if for every element there is an element such that
where u is called the best approximation of x denoted by It is well-known that if C is a closed and convex subset of a reflexive Banach space X, then the best approximation element exists and is unique for every .
Every uniformly convex Banach space is reflexive (see []). We can see that if C is a closed and convex subset of a uniformly convex Banach space X, then for every there exists a unique best approximation element
Definition 2
([]). Let C be a nonempty closed and convex subset of a normed space X. If for every there exists a unique then the mapping is called a metric projection onto C; that is,
It is well-known that if C is a closed and convex subset of a uniformly convex Banach space X, then there exists a metric projection from X onto
The following result is useful for our main theorem.
Lemma 7
([]). Suppose X is a uniformly convex Banach space and for all . If and are two sequences in X such that and hold for some . Then, .
3. Main Results
In this section, we begin with studying some basic properties of common attractive points for two mappings in the framework of uniformly convex Banach spaces as follows:
Lemma 8.
Let C be a nonempty, closed and convex subset of a uniformly convex Banach space X, and let be two mappings. If , then . In particular, if then
Proof.
Let ; then, and ; that is,
Since C is closed and convex, a unique element exists in C and
We know that , so . Since we get
Combing with the uniqueness of x, it follows that Thus Similarly, we also obtain Therefore, . □
Lemma 9.
Let C be a nonempty subset of a Banach space X, and let be two mappings. Then, is a closed subset of X.
Proof.
Let be a sequence converging strongly to some We shall prove that Indeed, for all and , the following results:
By letting we obtain
Thus, , and hence is closed. □
Lemma 10.
Let C be a nonempty subset of a Banach space X, and let be two quasi-nonexpansive mappings. Then,
Proof.
Then,
It follows that Since , we get .
Let . Then, and . That is
In particular, by choosing , we get
It follows that and . That is .
Conversely, let Since and are quasi-nonexpansive mappings, we have
Thus, □
Next, we prove our main results, using the iterative scheme (8) for two generalized nonexpansive mappings in uniformly convex Banach spaces. Before proving the results, we need the following important tools.
Lemma 11.
Let C be a nonempty and convex subset of a Banach space X and be two generalized nonexpansive mappings with . Let be a sequence generated by (8):
with such that Then, exists for any
Proof.
Let be a sequence generated by (8) and Then,
It follows that
Consider
This shows that the sequence is nonincreasing and bounded below for all Therefore, exists. □
Lemma 12.
Let C be a nonempty and convex subset of a uniformly convex Banach space X and be two generalized nonexpansive mappings with Let be a sequence generated by (8):
with such that and Then, is bounded, and
Proof.
Therefore
and
According to (11), we derive
By using (12), we have
To apply Lemma 7, we choose
Since , we get Hence, there exist such that for all . We have from (13) and (15) that
and
Furthermore, from (14), we have
Therefore, the sequences and satisfy the assumptions of Lemma 7, which imply that
Consider
We can conclude that
Since for all , we have
Next, we will show that According to (11), we have
By using (13), we have
Applying Lemma 7 again, we choose
Since , we get Hence, there exist such that for all . We have from (12) and (19) that
and
Furthermore, from (18), we have
Therefore, we can apply Lemma 7 to get
Consider
we can conclude that
Since for all , we get
Finally, we will show that According to (11), we can derive
By using (12) and (13), we have
To apply Lemma 7, we choose
We have from (11) and (23) that
and
Furthermore, from (22), we have
Therefore, we can apply Lemma 7 to get
Consider
We can conclude that
Since , we get
Note that
and
By (17), (21), (25) and in (26) and (27), we get
as desired. □
Suppose that and By using Lemma 11, we have that exists for all Therefore, is bounded, and so is . Let
We show that and
Since , we obtain that
Next, we establish a strong convergence theorem of common attractive points for two generalized nonexpansive mappings, in the sense of Hardy and Roger [] defined in (2), in a uniformly convex Banach space without assuming the closedness of the domain of such mappings.
Theorem 1.
Let C be a nonempty and convex subset of a uniformly convex Banach space X and be two generalized nonexpansive mappings with Let be a sequence generated by (8):
with such that and Then, converges strongly to if and only if or
Proof.
Suppose that Then, for each there exists such that
for all Therefore, we obtain
It follows that and hence
Conversely, if , then
Assume that This means that contains a subsequence such that
By Lemma 11, we have that exists for all Then,
It follows that
That is,
Next, we shall show that is a Cauchy sequence. By Lemma 11, we have for all In fact, for any without of generality, we may set . Then,
Consider
Since u is arbitrary, we may take infimum all over on both sides to get
From we get This means that is a Cauchy sequence in a uniformly convex Banach space Thus, there exists such that
By Lemma 12, we have
Thus,
Next, we show that Since is generalized nonexpansive mapping, we can use (1) to get that there exist nonnegative constants with such that
Thus
Taking limit on both sides, we get
Hence,
Since we have
Thus, for all This means that
Similarly, we have Therefore, □
By applying Theorem 1, we also obtain the following result.
Corollary 1.
Let C be a nonempty and convex subset of a uniformly convex Banach space X and be two generalized nonexpansive mappings with Let be a sequence generated by (8) with such that and for all
(1) Suppose that or Then, converges strongly to If C is closed, then converges strongly to
(2) Suppose that converges strongly to the common attractive point of and ; then,
or If C is closed, then or
Proof.
Since we have are quasi-nonexpansive mappings. By Lemma 10, we have which implies that, .
(1) Suppose that
Since we have
Then,
or
By Theorem 1, we get If C is closed, then It follows that
(2) Assume that By Theorem 1, we get
If C is closed, then Since we have It follows that or □
Next, we aim to apply Corollary 1 to solve a convex minimization problem in Hilbert spaces. The general formulation of the convex minimization problem is defined by
In a Hilbert space H, the solution of problem (28) is usually considered under the following assumptions:
- (i)
- g is a lower semicontinuous function and properly convex from H into ;
- (ii)
- f is a convex differentiable function from H into , with being ℓ-Lipschitz constant for some —that is, for all
We denote the set of all solutions of (28) by argmin, and it is well-known that finding a solution of problem (28) is equivalent to finding a zero-solution such that:
where is the gradient operator of function f and is the subdifferential of function g; see [] for more details. Dealing with fixed point theory, Parikh and Boyd [] solved the problem (29) by using the proximal gradient technique; that is, if solves (29), then is a fixed point of the proximal operator:
where is a positive parameter, and I is the identity operator.
If we set prox and prox where , then and are nonexpansive mappings; see [,,] for more details.
We denote argmin. The following result is a consequence of Corollary 1.
Corollary 2.
Let g be a lower semicontinuous function and proper convex from a real Hilbert space H into , and let f be a convex differentiable function from H into with being ℓ-Lipschitz constant for some Let be a sequence generated by (8) under the same conditions of parameters as in Corollary 1 with . If or , then converges strongly to an element in argmin.
Proof.
Let and be the forward–backward operators of f and g with respect to and , respectively, where . Then, prox and prox are nonexpansive mappings which imply generalized nonexpansiveness. By Proposition 26.1 in [], . Using (1) of Corollary 1, we obtain that converges strongly to an element in argmin. □
Remark 2.
A convex minimization problem (28) can be applied to solving many real world problems, such as image/signal processing, regression and data classification; see [,,]. Hence, the convergence result of Corollary 2 can be applied for solving those important problems.
Another condition for strong convergence results was introduced by Senter and Dotson []. A mapping satisfies condition if there exists a nondecreasing function with and for every such that
Chidume and Ali extended above condition to two mappings [] as follows: Two mappings are said to satisfy condition if there exists a nondecreasing function with and for every such that
In the following theorem, we obtain a strong convergence theorem for common attractive points of two generalized nonexpansive mappings that satisfy condition
Theorem 2.
Let C be a nonempty and convex subset of a uniformly convex Banach space X and be two generalized nonexpansive mappings. Let be a sequence generated by (8):
with such that and Suppose that and satisfy condition then, converges strongly to a common attractive point of and
Proof.
By Lemma 12, we have
Since and satisfy condition , there exists a nondecreasing function with and for all such that
It follows that
or
In both cases, we get
Since is a nondecreasing function satisfying and for all , we get
It follows that
By Theorem 1, we conclude that converges strongly to a common attractive point of and □
Corollary 3.
Let C be a nonempty and convex subset of a uniformly convex Banach space X and be two generalized nonexpansive mappings. Let be a sequence generated by (8) with such that and for all Suppose that and satisfy condition then, converges strongly to a common attractive point of and If C is closed, then converges strongly to a common fixed point of and
Proof.
Since we have are quasi-nonexpansive mappings. By Lemma 10, we have It follows that By Theorem 2, we have If C is closed, then □
We end this section by providing some numerical experiments to illustrate the performance of iteration (8) for supporting our main results.
Example 1.
Let with the usual norm and . Suppose are defined by
and
Then, and are generalized nonexpansive mappings such that but We chose the parameters and initial point Table 1 shows the values of , , and of iteration
Table 1.
Numerical experiment of the iteration process (8).
It is evident from Table 1 that with the errors and Moreover, Figure 1 shows the convergence behavior of the iterative process (8).
Figure 1.
The graph of the convergence behavior of the iteration process (8).
Next, under control conditions from Theorem 1, we compared the rates of convergence for the sequences generated by (6)–(8), as shown in Table 2.
Table 2.
The values of for different iteration processes.
From Table 2, we can see that iteration process (8) performs with a better rate of convergence than iteration processes (6) and (7).
4. Conclusions
In this paper, we studied some basic properties of the set of common attractive points, defined in (10), of two nonlinear mappings in the setting of uniformly convex Banach spaces. Furthermore, using the Mann iteration (8), we proved strong convergence theorems of common attractive points for two generalized nonexpansive mappings, in the sense of Hardy and Rogers [], in a uniformly convex Banach space without the closedness assumption of the domain of such mappings. Using this result, we obtained strong convergence theorems of common fixed points in a uniformly convex Banach space and solved some convex minimize problems. Finally, we constructed a numerical example to support our main result.
Author Contributions
Writing—original draft preparation, C.T., W.I. and N.P.; writing—review and editing, C.T., W.I. and N.P.; supervision, S.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Chiang Mai University and the NSRF via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
The authors are grateful to the referees for their valuable comments and suggestions which improved this paper. This work was supported by Fundamental Fund 2022, Chiang Mai University. The second and the third authors were also supported by the NSRF via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation (grant number B05F640183). The fourth author was also supported by Faculty of Science, Chiang Mai University.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Diaz, J.B.; Metcalf, F.T. On the structure of the set of subsequential limit points of successive approximations. Bull. Am. Math. Soc. 1936, 73, 516–519. [Google Scholar] [CrossRef]
- Klén, R.; Manojlović, V.; Simić, S.; Vuorinen, M. Bernoulli inequality and hypergeometric functions. Proc. Am. Math. Soc. 2014, 142, 559–573. [Google Scholar] [CrossRef]
- Kunze, H.; La Torre, D.; Mendivil, F.; Vrscay, E.R. Generalized fractal transforms and self-similar objects in cone metric spaces. Comput. Math. Appl. 2012, 64, 1761–1769. [Google Scholar] [CrossRef]
- Radenović, S.; Rhoades, B.E. Fixed point theorem for two non-self mappings in cone metric spaces. Comput. Math. Appl. 2009, 57, 1701–1707. [Google Scholar]
- Todorčević, V.; La Torre, D.; Mendivil, F.; Vrscay, E.R. Harmonic Quasiconformal Mappings and Hyperbolic Type Metrics; Springer International Publishing: Berlin/Heidelberg, Germany, 2019. [Google Scholar]
- Takahashi, W. Iterative methods for approximation of fixed points and their applications. J. Oper. Res. Soc. Jpn. 2000, 43, 87–108. [Google Scholar] [CrossRef]
- Afshari, H.; Atapour, M.; Karapinar, E. A discussion on a generalized Geraghty multi-valued mappings and applications. Adv. Differ. Equ. 2020, 2020, 356. [Google Scholar] [CrossRef]
- Hardy, G.F.; Rogers, T.D. A generalization of fixed point theorem of Reich. Can. Math. Bull. 1973, 16, 201–206. [Google Scholar] [CrossRef]
- Fukhar-ud-din, H.; Saleh, K. One-step iterations for a finite family of generalized nonexpansive mappings in CAT(0) spaces. Bull. Malays. Math. Sci. Soc. 2018, 41, 597–608. [Google Scholar] [CrossRef]
- Mann, W.R. Mean value method in iteration. Proc. Am. Math. 1953, 4, 506–510. [Google Scholar] [CrossRef]
- Ishikawa, S. Fixed points by a new iteration method. Proc. Am. Math. 1974, 44, 147–150. [Google Scholar] [CrossRef]
- Xu, Y. Ishikawa and Mann Iteration process. J. Math. Anal. Appl. 1998, 244, 91–101. [Google Scholar] [CrossRef]
- Das, G.; Debata, J.P. Fixed points of quasi-non-expansive mappings. Indian Pure Appl. Math. 1986, 17, 1263–1269. [Google Scholar]
- Takahashi, W.; Tamura, T. Convergence theorem for a pair of nonexpansive mapping. J. Convex Anal. 1998, 5, 45–58. [Google Scholar]
- Lui, Z.; Feng, C.; Ume, J.S.; Kang, S.M. Weak and strong convergence for common fixed points of a pair of non-expansive and asymptytotically non-expansive mappings. Taiwansese J. Math. 2007, 1, 27–42. [Google Scholar]
- Ali, J.; Ali, F. Approximation of common fixed point and the solution of image recovery problem. Results Math. 2019, 74, 130. [Google Scholar] [CrossRef]
- Takahashi, W.; Takeuchi, Y. Nonlinear ergodic theorem without convexity for generalized hybrid mappings in a Hilbert space. J. Nonlinear Convex Anal. 2011, 12, 399–406. [Google Scholar]
- Takahashi, W.; Wong, N.-G.; Yao, J.-C. Attractive points and weak convergence theorems for new generalized hybrid mappings in Hilbert spaces. J. Nonlinear Convex Anal. 2012, 13, 745–757. [Google Scholar]
- Khan, S.H. Iterative approximation of common attractive points of further generalized hybrid mappings. J. Fixed Point Theory Appl. 2018, 2018, 8. [Google Scholar] [CrossRef]
- Thongpaen, P.; Inthakon, W. Common attractive points theorems of widely more generalized hybrid mappings in Hilbert spaces. Thai J. Math. 2020, 13, 861–869. [Google Scholar]
- Thongpaen, P.; Kaewkhao, A.; Phudolsitthiphat, N.; Suantai, S.; Inthakon, W. Weak and strong convergence theorems for common attractive points of widely more generalized hybrid mappings in Hilbert Spaces. Mathematics 2021, 9, 2491. [Google Scholar] [CrossRef]
- Lin, L.J.; Takahashi, W. Attractive point theorems for generalized nonspreading mappings in Banach Spaces. J. Nonlinear Convex Anal. 2014, 20, 265–284. [Google Scholar]
- Zheng, Y. Attractive point and convergence theorem of generalized hybrid mapping. J. Nonlinear Sci. Anal. 2015, 8, 354–362. [Google Scholar] [CrossRef][Green Version]
- Takahashi, W. Existence and approximation of attractive points for nonlinear mappings in Banach Spaces. Nonlinear Anal. Convex Anal. 2013, 1841, 114–122. [Google Scholar]
- Takahashi, W.; Wong, N.C.; Yao, J.C. Attractive point and mean convergence theorems for new generalized nonspreading mappings in Banach spaces. Infin. Prod. Oper. Their Appl. 2015, 636, 225–248. [Google Scholar]
- Niyamosot, N.; Inthakon, W. Strong convergence theorems for the split equilibrium problem and attractive points problems in a Banach space. In Proceedings of the International Conference on Nonlinear Analysis and Convex Analysis & International Conference on Optimization: Techniques and Applicatons-II, Hakodate, Japan, 26–31 August 2019; pp. 161–173. [Google Scholar]
- Clarkson, J.A. Uniformly convex spaces. Trans. Am. Math. Soc. 1936, 40, 369–414. [Google Scholar] [CrossRef]
- El-Shobaky, E.; Ali, S.M.; Takahashi, W. On projection constant problems and the existence of metric projections in normed spaces. Abstr. Appl. Anal. Hindawi 2001, 6, 401–411. [Google Scholar] [CrossRef]
- Bauschke, H.H.; Combettes, P.L. Convex Analysis and Monotone Operator Theory in Hilbert Spaces; Springer: New York, NY, USA, 2011. [Google Scholar]
- Schu, J. Weak and strong convergence to fixed points of asymptotically nonexpansive mappings. Bull. Aust. Math. Soc. 1991, 43, 153–159. [Google Scholar] [CrossRef]
- Bauschke, H.H.; Combettes, P.L. Convex Analysis and Monotone Operator Theory in Hilbert Spaces, 2nd ed.; Incorporated; Springr: New York, NY, USA, 2017. [Google Scholar]
- Parikh, N.; Boyd, S. Proximal Algorthims. Found. Trends Optim. 2014, 1, 127–239. [Google Scholar] [CrossRef]
- Combettes, P.L. Quasi-Fejérian analysis of some optimization algorithms. In Inherently Parallel Algorithms in Feasibility and Optimization and Their Applications. Studies in Computational Mathematics; Elsevier: Amsterdam, The Netherlands, 2001; Volume 8, pp. 115–152. [Google Scholar]
- Combettes, P.L.; Pesquet, J.-C. Proximal splitting methods in signal processing. In Fixed-Point Algorithms for Inverse Problems Science and Engineering; Springer Optimization and Its Applications; Springer: New York, NY, USA, 2011; Volume 49, pp. 185–212. [Google Scholar]
- Combettes, P.L.; Wajs, V.R. Signal recovery by proximal forward-backward splitting. Multiscale Model. Simul. 2005, 4, 1168–1200. [Google Scholar] [CrossRef]
- Bussaban, L.; Suantai, S.; Kaewkhao, A. A parallel inertial S-iteration forward-backward algorithm for regression and classification problems. Carpathian J. Math. 2020, 36, 35–44. [Google Scholar] [CrossRef]
- Chumpungam, D.; Sarnmeta, P.; Suantai, S. A New Forward-Backward Algorithm with Line Searchand Inertial Techniques for Convex Minimization Problems with Applications. Mathematics 2021, 9, 1562. [Google Scholar] [CrossRef]
- Sarnmeta, P.; Inthakon, W.; Chumpungam, D.; Suantai, S. On convergence and complexity analysis of an accelerated forward-backward algorithm with linesearch technique for convex minimization problems and applications to data prediction and classification. J. Inequalities Appl. 2021, 2021, 141. [Google Scholar] [CrossRef]
- Senter, H.F.; Dotson, W. Approximating fixed points of nonexpansive mappings. Proc. Am. Math. Soc. 1974, 44, 375–380. [Google Scholar] [CrossRef]
- Chidume, C.E.; Ali, B. Weak and strong convergence theorems for finite families of asymptotically nonexpansive mappings in Banach spaces. J. Math. Anal. Appl. 2007, 330, 377–387. [Google Scholar] [CrossRef]
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