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# Hybrid algorithm for common solution of monotone inclusion problem and fixed point problem and applications to variational inequalities

*SpringerPlus*
**volume 5**, Article number: 803 (2016)

## Abstract

The aim of this paper is to investigate hybrid algorithm for a common zero point of the sum of two monotone operators which is also a fixed point of a family of countable quasi-nonexpansive mappings. We point out two incorrect proof in paper (Hecai in Fixed Point Theory Appl 2013:11, 2013). Further, we modify and generalize the results of Hecai’s paper, in which only a quasi-nonexpansive mapping was considered. In addition, two family of countable quasi-nonexpansive mappings with uniform closeness examples are provided to demonstrate our results. Finally, the results are applied to variational inequalities.

## Introduction and preliminaries

The monotone inclusion problem is to

where *H* is a real Hilbert space with inner product \(\langle \cdot , \cdot \rangle\) and \(A_i\) are set-valued maximal monotone operators (Hui and Lizhi 2013). Such problem is very important in many areas, such as convex optimization and monotone variational inequalities, for instance. There is an extensive literature to approach the inclusion problem, all of which can essentially be divided into two classes according to the number of operators involved: single operator class \((m=1)\) and multiple operator class \((m\ge 2).\) The latter class can always be reduced to the case of \(m=2\) via Spingarn’s method (Spingarn 1983). Based on a series of studies in the next decades, splitting methods for monotone operators were inspired and studied extensively. Splitting methods for linear equations were introduced by Peaceman and Rachford (1995) and Douglas and Rachford (1956). Extensions to nonlinear equations in Hilbert spaces were carried out by Kellogg (1969) and Lions and Mercier (1979). The central problem is to iteratively find a zero of the sum of two monotone operators *A* and *B* in a Hilbert space *H*. Splitting methods have recently received much attention due to the fact that many nonlinear problems arising in applied areas such as signal processing, image recovery and machine learning are mathematically modeled as a nonlinear operator equation (Shehu et al. 2016a, b; Shehu 2015). And the operator is decomposed into the sum of two nonlinear operators.

In this paper, we consider the problem of finding a solution for the following problem: find an *x* in the fixed point set of a family of countable quasi-nonexpansive mappings \(S_n\) such that

where *A* and *B* are two monotone operators. The similar problem has been addressed by many authors in view of the applications in signal processing and image recovery; see, for example, Qin et al. (2010), Zhang (2012), Takahashi et al. (2010), Kamimura and Takahashi (2010) and the references therein.

Throughout this paper, we always assume that *H* is a real Hilbert space with the inner product \(\langle \cdot ,\cdot \rangle\) and norm \(\Vert \cdot \Vert\), respectively. Let *C* be a nonempty closed convex subset of \(H,\;P_C\) be the metric projection from *H* onto *C*, and \(S: C \rightarrow C\) be a mapping. We use *F*(*S*) to denote the fixed point set of \(S_n\) below, i.e., \(F(S):= \{x \in C : x=Sx\}\). Recall that *S* is said to be nonexpansive if

If *C* is a bounded closed and convex subset of *H*, then *F*(*S*) is nonempty closed and convex; see Browder (1976). *S* is said to be quasi-nonexpansive if \(F(S)\ne \emptyset\) and

It is easy to see that nonexpansive mappings are Lipschitz continuous, however, the quasi-nonexpansive mapping is discontinuous on its domain generally. Indeed, the quasi-nonexpansive mapping is only continuous in its fixed point set.

Let \(A : C\rightarrow H\) be a mapping. Recall that *A* is said to be monotone if

*A* is said to be \(\alpha\)-strongly monotone if there exists a constant \(\alpha >0\) such that

*A* is said to be \(\alpha\)-inverse strongly monotone if there exists a constant \(\alpha >0\) such that

Notice that, a \(\alpha\)-inverse strongly monotone operator must be \(\frac{1}{\alpha }\)-Lipschitz continuous.

Recall that the classical variational inequality is to find an \(x \in C\) such that

In this paper, we use *VI*(*C*, *A*) to denote the solution set of (1). It is known that \(x^*\in C\) is a solution to (1) if \(x^*\) is a fixed point of the mapping \(P_C(I-\lambda A)\), where \(\lambda >0\) is a constant, *I* is the identity mapping, and \(P_C\) is the metric projection from *H* onto *C*. Next we recall some well-known definitions.

###
**Definition 1**

(*Takahashi et al. *
2010) A multi-valued operator \(T : H \rightarrow H\) with the domain \(D(T)=\{x \in H : Tx\ne 0\}\) and the range \(R(T) = \{Tx : x \in D(T)\}\) is said to be monotone if for \(x_1 ,x_2 \in D(T), y_1, y_2 \in R(T)\), the following inequality holds \(\langle x_1-x_2, y_1-y_2 \rangle \ge 0\).

###
**Definition 2**

(*Takahashi et al. *
2010) A monotone operator *T* is said to be maximal if its graph \(G(T)=\{(x, y) : y \in Tx\}\) is not properly contained in the graph of any other monotone operator.

###
**Definition 3**

(*Takahashi et al. *
2010) Let *I* denote the identity operator on *H* and \(T : H\rightarrow H\) be a maximal monotone operator. For each \(\lambda > 0\), a nonexpansive single-valued mapping \(J_\lambda =(I-\lambda A)^{-1}\) is called the resolvent of *T*.

And it is known that \(T^{-1}(0)=F(J_\lambda )\) for all \(\lambda >0\) and \(J_\lambda\) is firmly nonexpansive.

Three classical iteration processes are often used to approximate a fixed point of a nonexpansive mapping. The first one was introduced in 1953 by Mann (1953) and is well known as Manns iteration process defined as follows:

where the sequence \(\{\alpha _n\}\) is chosen in [0,1]. Fourteen years later, Halpern (1967) proposed the new innovation iteration process which resembled Manns iteration (2). It is defined by

where the element \(u \in C\) is fixed. Seven years later, Ishikawa (1974) enlarged and improved Mann’s iteration (2) to the new iteration method, which is often cited as Ishikawa’s iteration process and defined recursively by

where \(\{\alpha _n\}\) and \(\{\beta _n\}\) are sequences in the interval [0,1].

Moreover, many authors have studied the common solution problem, that is, find a point in a solution set and a fixed (zero) point set of some nonlinear problems; see, for example, Kamimura and Takahashi (2000), Takahashi and Toyoda (2003), Ye and Huang (2011), Cho and Kang (2011), Zegeye and Shahzad (2012), Qin et al. (2010), Lu and Wang (2012), Husain and Gupta (2012), Noor and Huang (2007), Qin et al. (2009), Kim and Tuyen (2011), Wei and Shi (2012), Qin et al. (2010), Qin et al. (2008), He et al. (2011), Wu and Liu (2012), Qin and Su (2007), Abdel-Salam and Al-Khaled (2012), Qin et al. (2010), Zegeye et al. (2012) and the references therein. In Kamimura and Takahashi (2000), in the framework of real Hilbert spaces, Kamimura and Takahashi investigated the problem of finding zero points of a maximal monotone operator by considering the following iterative algorithm:

where \(\{\alpha _n\}\) is a sequence in (0,1), \(\{\lambda _n\}\) is a positive sequence, \(T : H\rightarrow H\) is a maximal monotone, and \(J_{\lambda _n} = (I+\lambda _nT)^{-1}.\) They showed that the sequence \(\{x_n\}\) generated in (5) converges weakly to some \(z \in T^{-1}(0)\) provided that the control sequence satisfies some restrictions. Further, using this result, they also investigated the case that \(T=\partial f,\) where \(f :H\rightarrow H\) is a proper lower semicontinuous convex function.

Takahashi and Toyoda (2003) investigated the problem of finding a common solution of the variational inequality problem (1) and a fixed point problem involving nonexpansive mappings by considering the following iterative algorithm:

where \(\{\alpha _n\}\) is a sequence in (0,1), \(\{\lambda _n\}\) is a positive sequence, \(S: C\rightarrow C\) is a nonexpansive mapping, and \(A: C\rightarrow H\) is an inverse-strongly monotone mapping. They showed that the sequence \(\{x_n\}\) generated in (6) converges weakly to some \(z \in VI(C,A) \cap F(S)\) provided that the control sequence satisfies some restrictions.

Hecai (2013) studied the common solution for two monotone operators and a quasi-nonexpansive mapping in the framework of Hilbert spaces. The aim of this paper is to investigate hybrid algorithm for a common zero point of the sum of two monotone operators which is also a fixed point of a family of countable quasi-nonexpansive mappings. We point out two incorrect justifications in the proof of Theorem 2.1 in paper Hecai (2013). Further, we modify and generalize the results of Hecai’s paper, in which only a quasi-nonexpansive mapping was considered. In addition, two family of countable quasi-nonexpansive mappings with uniform closeness examples are provided to demonstrate our results. Finally, we apply the results to variational inequalities.

To obtain our main results in this paper, we need the following lemmas and definitions.

Let *C* be a nonempty, closed, and convex subset of *H*. Let \(\{S_n\}_{n=1}^{\infty }: C\rightarrow C\) be a sequence of mappings of *C* into *C* such that \(\cap _{n=1}^{\infty }F(S_n)\) is nonempty. Then \(\{S_n\}_{n=1}^{\infty }\) is said to be *uniformly closed*, if \(p\in \cap _{n=1}^{\infty }F(S_n)\), whenever \(\{x_n\}\subset C\) converges strongly to *p* and \(\Vert x_n-S_nx_n\Vert \rightarrow 0\) as \(n\rightarrow \infty .\)

###
**Lemma 4**

(Aoyama et al. 2007) *Let*
*C*
*be a nonempty, closed, and convex subset of*
\(H,\;A: C\rightarrow H\)
*be a mapping, and*
\(B: H\rightarrow 2^H\)
*be a maximal monotone operator. Then*
\(F(J_r(I-\lambda A))=(A+B)^{-1}(0).\)

Let *C* be a nonempty, closed, and convex subset of *H*, the projection operator \(P_C: E \rightarrow C\) is a map that assigns to an arbitrary point \(x \in H\) the minimum point of the norm \(\Vert x-y\Vert\), that is, \(P_Cx=\overline{x},\) where \(\overline{x}\) is a unique solution to the minimization problem

It is well-known that

Abdel-Salam and Al-Khaled (2012) proved the following result.

###
**Theorem 5**

*Let*
*C*
*be a nonempty closed convex subset of a real Hilbert space*
\(H,\;A: C\rightarrow H\)
*be an*
\(\alpha\)
*-inverse-strongly monotone mapping*, \(S: C\rightarrow C\)
*be a quasi-nonexpansive mapping such that*
\(I-S\)
*is demiclosed at zero and*
*B*
*be a maximal monotone operator on*
*H*
*such that the domain of*
*B*
*is included in*
*C*. *Assume that*
\(F=F(S)\cap (A+B)^{-1}(0)\ne \emptyset .\)
*Let*
\(\{\lambda _n\}\)
*be a positive real number sequence and*
\(\{\alpha _n\}\)
*be a real number sequence in [0,1]. Let*
\(\{x_n\}\)
*be a sequence of*
*C*
*generated by*

*where*
\(J_{r_n}=(I+r_nB)^{-1}.\)
*Suppose that the sequences*
\(\lambda _n\)
*and*
\(\alpha _n\)
*satisfy the following restrictions:*

\((a) \ 0 \le \alpha _n \le a < 1;\)

\((b)\;0<b \le \lambda _n \le c < 2\alpha\)

*Then the sequence*
\(\{x_n\}\)
*converges strongly to*
\(q= P_{F}x_0.\)

However, the proof of above Theorem 5 is not correct. First mistake: in page 6, line 16–17, there is a mistake inequality:

Second mistake: in page 7, -line 5–7, there is a mistake ratiocination:

Since *B* is monotone, we get for any \((u,v) \in B\) that

Replacing *n* by \(n_i\) and letting \(i\rightarrow \infty\), we obtain from (7) that

**Our comments: ** Notice that, the inner product \(\langle \cdot , \cdot \rangle\) is not weakly continuous. For example: in Hilbert space \(l^2\), let

It is well-known that \(\{x_n\}\) converges weakly to \(x_0\), but

so the inner product \(\langle x_n,x_n \rangle\) does not converges to \(\langle x_0,x_0\rangle\). Therefore,

does not converges to

In order to modify the iterative algorithm of Theorem 5 and to get more generalized results, we present a new iterative algorithm in this paper. Moreover, the results are applied to variational inequalities.

## Main results

Now we are in the position to give our main results.

###
**Theorem 6**

*Let*
*C*
*be a nonempty closed convex subset of a real Hilbert space*
\(H,\;A: C\rightarrow H\)
*be an*
\(\alpha\)
*-inverse-strongly monotone mapping, and*
*B*
*be a maximal monotone operator on*
*H*
*such that the domain of*
*B*
*is included in*
*C*. *Let*
\(\{S_n\}: C\rightarrow C\)
*be a family of countable quasi-nonexpansive mappings which are uniformly closed. Assume that*
\(F=F(S)\cap (A+B)^{-1}(0)\ne \emptyset .\)
*Let*
\(\{r_n\}\)
*be a positive real number sequence and*
\(\{\alpha _n\}\)
*be a real number sequence in [0,1). Let*
\(\{x_n\}\)
*be a sequence of*
*C*
*generated by*

*where*
\(J_{r_n}=(I+r_nB)^{-1},\;\liminf _{n\rightarrow \infty } r_n>0,\ r_n \le 2\alpha\)
*and*
\(\limsup _{n\rightarrow \infty } \alpha _n<1.\)
*Then the sequence*
\(\{x_n\}\)
*converges strongly to*
\(q= P_{F}x_0.\)

###
*Proof*

We divide the proof into six steps.

Step 1. We show that \(C_n\) is closed and convex. Notice that \(C_1= C\) is closed and convex. Suppose that \(C_i\) is closed and convex for some \(i\ge 1\). Next we show that \(C_{i+1}\) is closed and convex for the same *i*. Since

It is obvious that

are all closed and convex, so \(C_{i+1}\) is closed and convex. This shows that \(C_n\) is closed and convex for all \(n\ge 1\).

Step 2. We show that \(F \subset C_n\) for all \(n\ge 1\). By the assumption, we see that \(F \subset C_1\). Assume that \(F \subset C_i\) for some \(i\ge 1\). For any \(p\in F \subset C_i\), we find from the Lemma that

Since \(J_{r_i}\) is nonexpansive, we have

which implies that

On the other hand, we have

From (8) and (9), we know that \(p\in C_{i+1}\). This show \(F \subset C_n\) for all \(n\ge 1\).

Step 3. We show that \(\{x_n\}\) is a Cauchy sequence, so it is convergent in *C*.

Since \(x_{n}=P_{C_n}x_0\) and \(C_{n+1}\subset C_{n}\), then we obtain

Therefore \(\Vert x_n-x_0\Vert\) is nondecreasing. On the other hand, we have

for all \(p\in F\subset C_{n}\) and for all \(n\ge 1.\) Therefore, \(\Vert x_n-x_0\Vert\) is also bounded. This together with (10) implies that the limit of \(\Vert x_n-x_0\Vert\) exists. Put

It is known that for any positive integer *m*,

for all \(n\ge 1.\) This together with (11) implies that

uniformly for all *m*, holds. Therefore, we get that

uniformly for all *m*, holds. Then \(\{x_n\}\) is a Cauchy sequence, hence there exists a point \(p\in C\) such that \(x_n\rightarrow p\).

Step 4. We prove that the limit of \(\{x_n\}\) belongs to *F*.

Let \(\lim _{n\rightarrow \infty }x_n=q\). Sine \(x_{n+1}\in C_{n+1}\), so we have

as \(n\rightarrow \infty .\) Hence

From

we have that

The condition \(\limsup _{n\rightarrow \infty }\alpha _n<1\) and (13) imply that

Because \(\{S_n\}\) is an uniformly closed family of countable quasi-nonexpansive mappings, therefore this together with the (14) implies that \(q \in \cap ^{n=1}_{\infty }F(S_n)\).

Step 5. We show that \(q \in (A + B)^{-1}(0)\).

Notice that \(z_n =J_{r_n}(x_n-r_nAx_n)\). This means that

Actually, that is,

For *B* is monotone, so we get for any \((u, v) \in B\) that

Letting \(n\rightarrow \infty\), we obtain from (15) that

Since *B* is a maximal monotone operator, so we have \(-Aq \in Bq\), that is, \(0\in (A+B)(q)\). Hence, \(q\in (A + B)^{-1}(0)\). This completes the proof that \(q \in F\).

Step 6. We show that \(q=P_{F}x_0\).

Observe that \(P_Fx_0 \in C_{n+1}\) and \(x_{n+1}=P_{C_{n+1}}x_0\), thus we have

On the other hand, we have

Since *F* is closed and convex, so the projection \(P_{F}x_0\) is unique. Therefore we get that \(q=P_{F}x_0\). This completes the proof. \(\square\)

## Application

In this section, we apply our results to variational inequalities.

Let \(f: H\rightarrow (\) \(- \infty ,+\infty ]\) be a proper lower semicontinuous convex function. For all \(x\in H,\) define the subdifferential

Then \(\partial f\) is a maximal monotone operator of *H* into itself (Noor and Huang 2007). Let *C* be a nonempty closed convex subset of *H* and \(i_C\) be the indicator function of *C*, that is,

Furthermore, for any \(\nu \in C,\) we define the normal cone \(N_C(\nu )\) of *C* at \(\nu\) as follows:

Then \(i_C : H\rightarrow (\)
\(-\infty ,\)
\(+\infty ]\) is a proper lower semicontinuous convex function on *H* and \(\partial i_C\) is a maximal monotone operator. Let \(Jx=(I+\lambda \partial i_C)^{-1}x\) for any \(\lambda >0\) and \(x\in H.\) From \(\partial i_C x = N_Cx\) and \(x\in C,\) we get

where \(P_C\) is the projection operator from *H* into *C*. In the same way, we can get that \(x\in (A + \partial i_C)^{-1}(0) \Leftrightarrow x\in VI(A,C).\) Putting \(B = \partial i_C\) in Theorem 6, we can see that \(J_{\lambda _n}=P_C.\) Naturally, we can obtain the following consequence.

###
**Theorem 7**

*Let*
*C*
*be a nonempty closed convex subset of a real Hilbert space*
\(H,\;A: C\rightarrow H\)
*be an*
\(\alpha\)
*-inverse-strongly monotone mapping, and*
\(S_n: C\rightarrow C\)
*be a family of countable quasi-nonexpansive mappings which are uniformly closed. Assume that*
\(F=F(S)\cap VI(C,A)\ne \emptyset .\)
*Let*
\(\{r_n\}\)
*be a positive real number sequence and*
\(\{\alpha _n\}\)
*be a real number sequence in [0,1). Let*
\(\{x_n\}\)
*be a sequence of*
*C*
*generated by*

*where*
\(J_{r_n}=(I+r_nB)^{-1},\;\liminf _{n\rightarrow \infty } r_n>0, \ r_n\le 2\alpha\)
*and*
\(\limsup _{n\rightarrow \infty } \alpha _n<1.\)
*Then the sequence*
\(\{x_n\}\)
*converges strongly to*
\(q= P_{F}x_0.\)

Based on Theorem 7, we have the following corollary on variational inequalities.

###
**Corollary 8**

*Let*
*C*
*be a nonempty closed convex subset of a real Hilbert space*
\(H,\;A: C\rightarrow H\)
*be an*
\(\alpha\)
*-inverse-strongly monotone mapping. Assume that*
\(F=VI(C,A)\ne \emptyset .\) Let \(\{r_n\}\) be a positive real number *sequence. Let*
\(\{x_n\}\)
*be a sequence of*
*C*
*generated by*

*where*
\(J_{r_n}=(I+r_nB)^{-1},\)
*and*
\(\liminf _{n\rightarrow \infty } r_n>0, \ r_n\le 2\alpha .\)
*Then the sequence*
\(\{x_n\}\)
*converges strongly to*
\(q= P_{VI(C,A)}x_0.\)

## Examples

Let *H* be a Hilbert space and *C* be a nonempty closed convex and balanced subset of *H*. Let \(\{x_n\}\) be a sequence in *C* such that \(\Vert x_n\Vert =r>0, \{x_n\}\) converges weakly to \(x_0\ne 0\) and \(\Vert x_n-x_m\Vert \ge r>0\) for all \(n\ne m\). Define a family of countable mappings \(\{T_n\}: C\rightarrow C\) as follows

###
**Conclusion 9**

\(\{T_n\}\)
*has a unique common fixed point* 0, *i.e.,*
\(F=\cap _{n=1}^{\infty }F(T_n)=\{0\}\), *for all*
\(n\ge 0\).

###
*Proof*

The conclusion is obvious. \(\square\)

###
**Conclusion 10**

\(\{T_n\}\)
*is a uniformly closed family of countable quasi-nonexpansive mappings*.

###
*Proof*

First, we have

Therefore

for all \(x \in C.\) On the other hand, for any strong convergent sequence \(\{z_n\}\subset E\) such that \(z_n\rightarrow z_0\) and \(\Vert z_n-T_nz_n\Vert \rightarrow 0\) as \(n\rightarrow \infty\), it is easy to see that there exists sufficiently large nature number *N* such that \(z_n\ne x_m\), for any \(n, m >N\). Then \(Tz_n=-z_n\) for \(n>N.\) It follows from \(\Vert z_n-T_nz_n\Vert \rightarrow 0\) that \(2z_n\rightarrow 0.\) Hence \(z_n\rightarrow z_0=0,\) that is \(z_0 \in F\). \(\square\)

###
*Example 11*

Let \(E=l^2\), where

Let \(\{x_n\}\subset E\) be a sequence defined by

where

for all \(n\ge 1\). It is well-known that \(\Vert x_n\Vert =\sqrt{2}, \ \forall n\ge 1\) and \(\{x_n\}\) converges weakly to \(x_0.\) Define a countable family of mappings \(T_n: E\rightarrow E\) as follows

for all \(n\ge 0\). By using Conclusion 9 and 10, \(\{T_n\}\) is a uniformly closed family of countable quasi-nonexpansive mappings.

###
*Example 12*

Let \(E=L^p[0,1]\;(1<p<\)+\(\infty )\) and

Define a sequence of functions in \(L^p[0,1]\) as the following expression

for all \(n\ge 1\). Firstly, we can see for any \(x \in [0,1]\) that

where \(f_0(x)\equiv 0\). It is well-known that the above relation (16) is equivalent to \(\{f_n(x)\}\) converges weakly to \(f_0(x)\) in uniformly smooth Banach space \(L^p[0,1] (1<p<\)+\(\infty )\). On the other hand, for any \(n\ne m\), we have

Let

It is obvious that \(u_n\) converges weakly to \(u_0(x)\equiv 1\) and

Define a mapping \(T: E\rightarrow E\) as follows

Since (17) holds, by using Conclusion 9 and 10, we know that \(\{T_n\}\) is a uniformly closed family of countable quasi-nonexpansive mappings.

## References

Abdel-Salam HS, Al-Khaled K (2012) Variational iteration method for solving optimization problems. J Math Comput Sci 2:1457–1497

Aoyama K, Kimura Y, Takahashi W, Toyoda M (2007) On a strongly nonexpansive sequence in Hilbert spaces. J Nonlinear Convex Anal 8:471–489

Browder FE (1976) Nonlinear operators and nonlinear equations of evolution in Banach spaces. Proc Symp Pure Math 18:78–81

Cho SY, Kang SM (2011) Approximation of fixed points of pseudocontraction semigroups based on a viscosity iterative process. Appl Math Lett 24:224–228

Douglas J, Rachford HH (1956) On the numerical solution of heat conduction problems in two and three space variables. Trans Am Math Soc 82:421–439

Halpern B (1967) Fixed points of nonexpanding maps. Bull Am Math Soc 73:957–961

He XF, Xu YC, He Z (2011) Iterative approximation for a zero of accretive operator and fixed points problems in Banach space. Appl Math Comput 217:4620–4626

Hecai (2013) On solutions of inclusion problems and fixed point problems. Fixed Point Theory Appl 2013:11

Husain S, Gupta S (2012) A resolvent operator technique for solving generalized system of nonlinear relaxed cocoercive mixed variational inequalities. Adv Fixed Point Theory 2:18–28

Ishikawa S (1974) Fixed points by a new iteration method. Proc Am Math Soc 44:147–150

Kamimura S, Takahashi W (2000) Approximating solutions of maximal monotone operators in Hilbert spaces. J Approx Theory 106:226–240

Kamimura S, Takahashi W (2010) Weak and strong convergence of solutions to accretive operator inclusions and applications. Set Valued Anal 8:361–374

Kellogg RB (1969) Nonlinear alternating direction algorithm. Math Comput 23:23–28

Kim JK, Tuyen TM (2011) Regularization proximal point algorithm for finding a common fixed point of a finite family of nonexpansive mappings in Banach spaces. Fixed Point Theory Appl 52

Lions PL, Mercier B (1979) Splitting algorithms for the sum of two nonlinear operators. SIAM J Numer Anal 16:964–979

Lu H, Wang Y (2012) Iterative approximation for the common solutions of a infinite variational inequality system for inverse-strongly accretive mappings. J Math Comput Sci 2:1660–1670

Mann WR (1953) Mean value methods in iteration. Proc Am Math Soc 4:506–510

Noor MA, Huang Z (2007) Some resolvent iterative methods for variational inclusions and nonexpansive mappings. Appl Math Comput 194:267–275

Peaceman DH, Rachford HH (1995) The numerical solution of parabolic and elliptic differential equations. J Soc Ind Appl Math 3:28–415

Qin X, Shang M, Su Y (2008) Strong convergence of a general iterative algorithm for equilibrium problems and variational inequality problems. Math Comput Model 48:1033–1046

Qin X, Cho YJ, Kang SM (2009) Convergence theorems of common elements for equilibrium problems and fixed point problems in Banach spaces. J Comput Appl Math 225:20–30

Qin X, Kang JL, Cho YJ (2010) On quasi-variational inclusions and asymptotically strict pseudo-contractions. J Nonlinear Convex Anal 11:441–453

Qin X, Cho SY, Kang SM (2010) Strong convergence of shrinking projection methods for quasi\({\text{- }}{\text{- }}\)nonexpansive mappings and equilibrium problems. J Comput Appl Math 234:750–760

Qin X, Chang SS, Cho YJ (2010) Iterative methods for generalized equilibrium problems and fixed point problems with applications. Nonlinear Anal 11:2963–2972

Qin X, Cho SY, Kang SM (2010) On hybrid projection methods for asymptotically quasi-\(\phi\)-nonexpansive mappings. Appl Math Comput 215:3874–3883

Qin X, Su YF (2007) Approximation of a zero point of accretive operator in Banach spaces. J Math Anal Appl 329:415–424

Shehu Y (2015) Iterative approximations for zeros of sum of accretive operators in Banach spaces. J Funct Spaces. Article ID 5973468, 9 pages

Shehu Y, Ogbuisi FU, Iyiola OS (2016) Convergence analysis of an iterative algorithm for fixed point problems and split feasibility problems in certain Banach spaces. Optimization 65(2):299–323

Shehu Y, Iyiola OS, Enyi CD (2016) Iterative algorithm for split feasibility problems and fixed point problems in Banach Spaces. Numer Algorithms. doi:10.1007/s11075-015-0069-4

Spingarn JE (1983) Partial inverse of a monotone operator. Appl Math Optim 10:247–265

Takahashi S, Takahashi W, Toyoda M (2010) Strong convergence theorems for maximal monotone operators with nonlinear mappings in Hilbert spaces. J Optim Theory Appl 147:27–41

Takahashi W, Toyoda M (2003) Weak convergence theorems for nonexpansive mappings and monotone mappings. J Optim Theory Appl 118:417–428

Wei Z, Shi G (2012) Convergence of a proximal point algorithm for maximal monotone operators in Hilbert spaces. J Inequal Appl 137

Wu C, Liu A (2012) Strong convergence of a hybrid projection iterative algorithm for common solutions of operator equations and of inclusion problems. Fixed Point Theory Appl 90

Ye J, Huang J (2011) Strong convergence theorems for fixed point problems and generalized equilibrium problems of three relatively quasi-nonexpansive mappings in Banach spaces. J Math Comput Sci 1:1–18

Zegeye H, Shahzad N (2012) Strong convergence theorem for a common point of solution of variational inequality and fixed point problem. Adv Fixed Point Theory 2:374–397

Zegeye H, Shahzad N, Alghamdi M (2012) Strong convergence theorems for a common point of solution of variational inequality, solutions of equilibrium and fixed point problems. Fixed Point Theory Appl 119

Zhang M (2012) Iterative algorithms for common elements in fixed point sets and zero point sets with applications. Fixed Point Theory Appl 2012:21

Zhang H, Cheng L (2013) Projective splitting methods for sums of maximal monotone operators with applications. J Math Anal Appl 406:323–334

## Authors’ contributions

All authors contributed equally and significantly in writing this article. All authors read and approved the final manuscript.

### Acknowledgements

This work has been supported by the National Natural Science Foundation of China (Grant Nos. 11332006, 1127223311572221), National key basic research and development program (plan 973) (Nos. 2012CB720101, 2012CB720103).

### Competing interests

The authors declare that they have no competing interests.

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### Cite this article

Zhang, J., Jiang, N. Hybrid algorithm for common solution of monotone inclusion problem and fixed point problem and applications to variational inequalities.
*SpringerPlus* **5**, 803 (2016). https://doi.org/10.1186/s40064-016-2389-9

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DOI: https://doi.org/10.1186/s40064-016-2389-9