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R E S E A R C H

Open Access

Split equality fixed point problem for

quasi-pseudo-contractive mappings with

applications

Shih-sen Chang

1*

, Lin Wang

2

and Li-Juan Qin

3

*Correspondence: [email protected] 1Center for General Education, China Medical University, Taichung, 40402, Taiwan

Full list of author information is available at the end of the article

Abstract

In this paper, we consider a split equality fixed point problem for

quasi-pseudo-contractive mappings which includes split feasibility problem, split equality problem, split fixed point problemetc., as special cases. A unified framework for the study of this kind of problems and operators is provided. The results presented in the paper extend and improve many recent results.

MSC: 49J40; 49J52; 47J20

Keywords: split equality fixed point problem; quasi-pseudo-contractive mapping; quasi-nonexpansive mapping; directed mapping; demicontractive mapping

1 Introduction

LetCandQbe nonempty closed and convex subsets of the real Hilbert spacesHandH,

respectively. Thesplit feasibility problem(SFP) is formulated as:

to findx∗∈Csuch thatAx∗∈Q, (.)

whereA:H→His a bounded linear operator. In , Censor and Elfving [] first

intro-duced the SFP in finite-dimensional Hilbert spaces for modeling inverse problems which arise from phase retrievals and in medical image reconstruction []. It has been found that the SFP can also be used in various disciplines such as image restoration, computer tomog-raphy, and radiation therapy treatment planning [–]. The SFP in an infinite-dimensional real Hilbert space can be found in [, , –].

Recently, Moudafi [–] introduced the following split equality feasibility problem (SEFP):

to findxC,yQsuch thatAx=By, (.)

whereA:H→HandB:H→Hare two bounded linear operators. Obviously, ifB=I

(identity mapping onH) andH=H, then (.) reduces to (.). The kind of split equality

feasibility problems (.) allows asymmetric and partial relations between the variablesx andy. The interest is to cover many situations, such as decomposition methods for PDEs, applications in game theory and intensity-modulated radiation therapy.

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In order to solve split equality feasibility problem (.), Moudafi [] introduced the fol-lowing simultaneous iterative method:

xk+=PC(xkγA∗(AxkByk)),

yk+=PQ(yk+βB∗(Axk+–Byk)),

(.)

and under suitable conditions he proved the weak convergence of the sequence{(xn,yn)}

to a solution of (.) in Hilbert spaces.

In order to avoid using the projection, recently, Moudafi [] introduced and studied the following problem: LetT:H→HandS:H→Hbe nonlinear operators such that Fix(T)=∅andFix(S)= ∅, whereFix(T) andFix(S) denote the sets of fixed points ofTand S, respectively. IfC=Fix(T) andQ=Fix(S), then split equality problem (.) reduces to

findx∈Fix(T) andy∈Fix(S) such thatAx=By, (.)

which is called asplit equality fixed point problem (in short, SEFPP). Denote bythe solution set of split equality fixed point problem (.).

Recently Moudafi [] proposed the following iterative algorithm for finding a solution of SEFPP (.):

xn+=T(xnγnA∗(AxnByn)),

yn+=S(yn+βnB∗(Axn+–Byn)).

(.)

He also studied the weak convergence of the sequences generated by scheme (.) under the condition thatT andSare firmly quasi-nonexpansive mappings. Very recently, Che and Li [] proposed the following iterative algorithm for finding a solution of SEFPP (.):

⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩

un=xnγnA∗(AxnByn),

xn+=αnxn+ ( –αn)Tun,

vn=yn+γnB∗(AxnByn),

yn+=αnyn+ ( –αn)Svn.

(.)

They also established the weak convergence of the scheme (.) under the condition that the operatorsTandSare quasi-nonexpansive mappings.

The purpose of this paper is two-fold. First, we will consider split equality fixed point problem (.) for the class of quasi-pseudo-contractive mappings which is more general than the classes of quasi-nonexpansive mappings, directed mappings, and demicontrac-tive mappings. Second, we modify the iterademicontrac-tive scheme (.) and propose the following iterative algorithms with weak convergence without using the projection:

⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩

un=xnγnA∗(AxnByn),

xn+=αnxn+ ( –αn)(( –ξ)I+ξT(( –η)I+ηT))un,

vn=yn+γnB∗(AxnByn),

yn+=αnyn+ ( –αn)(( –ξ)I+ξS(( –η)I+ηS))vn.

(.)

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2 Preliminaries

In this section, we collect some definitions, notations, and conclusions, which will be needed in proving our main results.

LetHbe a real Hilbert space,Cbe a nonempty closed convex subset ofH, andT:CC be a nonlinear mapping.

Definition . T:CCis said to be:

(i) Nonexpansive ifTxTyxyx,yC. (ii) Quasi-nonexpansive ifFix(T)=∅and

Txx∗≤xx∗ ∀xCandx∗∈Fix(T).

(iii) Firmly nonexpansive if

TxTy≤ xy–(I–T)x– (I–T)y ∀x,yC.

(iv) Firmly quasi-nonexpansive ifFix(T)=∅and

Txx∗

xx∗–(I–T)x ∀xCandx∗∈Fix(T).

(v) Strictly pseudo-contractive if there existsk∈[, )such that

TxTy≤ xy+k(I–T)x– (I–T)y ∀x,yC.

(vi) Directed ifFix(T)=∅andTxx∗,Txx ≤∀xCandx∗∈Fix(T). (vii) Demicontractive ifFix(T)=∅and there existsk∈[, )such that

Txx∗≤xx∗+kTxx ∀xCandx∗∈Fix(T).

Remark . As pointed out by Bauschke and Combettes [],T :CCis directed if and only if

Txx∗≤xx∗–Txx ∀xCandx∗∈F(T).

That is to say that the class of directed mappings coincides with that of firmly quasi-nonexpansive mappings.

Remark . From the above definitions, we note that the class of demicontractive

map-pings is fundamental; it includes many kinds of nonlinear mapmap-pings such as the directed mappings, the quasi-nonexpansive mappings, and the strictly pseudo-contractive map-pings with fixed points as special cases.

Definition . An operatorT:CCis said to bepseudo-contractiveif

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The interest of pseudo-contractive operators lies in their connection with monotone map-pings, namely,Tis a pseudo-contraction if and only ifITis a monotone mapping. It is well known thatTis pseudo-contractive if and only if

TxTy≤ xy+(I–T)x– (I–T)y ∀x,yC.

Definition . An operatorT:CCis said to bequasi-pseudo-contractiveifFix(T)=∅ and

Txx∗≤xx∗+Txx ∀xCandx∗∈F(T).

It is obvious that the class of quasi-pseudo-contractive mappings includes the class of demicontractive mappings.

Definition . () A mappingT:CCis said to bedemiclosed at if, for any sequence {xn} ⊂Cwhich converges weakly toxand withxnT(xn) →,T(x) =x.

() A mapping T :HH is said to be semi-compact if, for any bounded sequence {xn} ⊂H withxnTxn →, there exists a subsequence {xni} ⊂ {xn} such that{xni} converges strongly to some pointxH.

Lemma . Let H be a real Hilbert space.For any x,yH,the following conclusions hold:

tx+ ( –t)y

=tx+ ( –t)y–t( –t)xy, t∈[; ]; (.)

x+y≤ x+ y,x+y. (.)

Recall that a Banach spaceXis said to satisfy Opial’s condition, if for any sequence{xn}

inXwhich converges weakly tox∗,

lim sup n→∞

xnx∗<lim sup

n→∞

xnyyXwithy=x∗.

It is well known that every Hilbert space satisfies the Opial condition.

Lemma . Let{an}be a sequence of nonnegative real numbers such that

an+≤( –γn)an+δnn≥,

where{γn}is a sequence in(, )and{δn}is a sequence such that

() ∞n=γn=∞;

() lim supn→∞δn

γn≤or

n=|δn|<∞.

Thenlimn→∞an= .

Lemma . Let H be a real Hilbert space and T:HH be a L-Lipschitzian mapping with L≥.Denote

K:= ( –ξ)I+ξT ( –η)I+ηT. (.)

If <ξ<η< 

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() Fix(T) =Fix(T(( –η)I+ηT)) =Fix(K).

() IfTis demiclosed at,thenKis also demiclosed at.

() In addition,ifT:HHis quasi-pseudo-contractive,then the mappingKis quasi-nonexpansive,that is,

Kxu∗≤xu∗ ∀xHandu∗∈Fix(T) =Fix(K).

Proof () Ifx∗∈Fix(T), it is obvious thatx∗∈Fix(T(( –η)I+ηT)).

Conversely, ifx∗∈Fix(T(( –η)I+ηT)),i.e.,x∗=T(( –η)x∗+ηTx∗), lettingU= ( – η)I+ηT, thenTUx∗=x∗. PutUx∗=y∗. ThenTy∗=x∗. Now we prove thatx∗=y∗. In fact, we have

xy=xUx=x ( –η)I+ηTx

=ηx∗–Tx∗=ηTy∗–Tx∗≤Lηy∗–x∗.

Since  << , we havex∗=y∗,i.e.,x∗∈Fix(T). This shows thatFix(T) =Fix(T(( –η)I+ ηT)).

It is obvious thatx∈Fix(K) if and only ifx∈Fix(T(( –η)I+ηT)). The conclusion () is proved.

() For any sequence{xn} ⊂Hsatisfyingxn x∗ andxnKxn →. Next we show

thatx∗∈Fix(K). From conclusion (), we only need to prove thatx∗∈Fix(T). In fact, since T isL-Lipschizian, we have

xnTxnxnT ( –η)I+ηT

xn+T ( –η)I+ηT

xnTxn

≤ 

ξxn– ( –ξ)xnξT ( –η)I+ηT

xn+LηxnTxn

=

ξxnKxn+LηxnTxn.

Simplifying it, we have

xnTxn

ξ( –)xnKxn →. (.)

SinceTis demiclosed at , we havex∗∈F(T) =F(K). The conclusion () is proved.

The conclusion () is obvious (see also []).

3 Main results

Throughout this section, we assume that:

() H,H, andHare three real Hilbert spaces.A:H→HandB:H→Hare two

bounded linear operators with their adjointsA∗andB∗, respectively;

() T:H→HandS:H→Hare twoL-Lipschitzian and quasi-pseudo-contractive

mappings withL≥,Fix(T)= ∅, andFix(S)=∅.

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Our object is to solve the following split equality fixed point problem:

to findx∗∈Fix(T),y∗∈F(S) such thatAx∗=By∗. (.)

In the sequel we useto denote the set of solutions of (.), that is,

= x∗,y∗∈Fix(T)×Fix(S) such thatAx∗=By∗, (.) and we assume that=∅.

Now, we present our algorithm for finding (x∗,y∗)∈.

Algorithm . Initialization: Choose{αn} ⊂(, ). Take arbitraryx∈H,y∈H.

Iterative steps: For a given currentxnH,ynHcompute

⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩

(a) un=xnγnA∗(AxnByn),

(b) xn+=αnxn+ ( –αn)(( –ξn)I+ξnT(( –ηn)I+ηnT))un,

(c) vn=yn+γnB∗(AxnByn),

(d) yn+=αnyn+ ( –αn)(( –ξn)I+ξnS(( –ηn)I+ηnS))vn.

(.)

Theorem . Let H,H,H,A,B,S,T,,{xn}and{yn}be the same as above.If T and S

are demiclosed atand the following conditions are satisfied:

(i) γn∈(,min(A,B))∀n≥;

(ii)  <a<ξn<ηn<b<+√+L∀n≥. Then the following conclusions hold:

(I) the sequence({xn,yn})generated by(.)converges weakly to a solution of problem

(.);

(II) In addition,ifS,Tare also semi-compact,then({xn,yn})converges strongly to a

solution of problem(.).

Proof First we prove the conclusion (I).

For any given (p,q), thenp∈Fix(T),q∈Fix(S) andAp=Bq. From (.)(a), we have

unp=xnγnA∗(AxnByn) –p

=xnp+γnA∗(AxnByn) 

– γn

xnp,A∗(AxnByn)

xnp+γnAAxnByn– γnAxnAp,AxnByn. (.)

Similarly, from (.)(c), we have

vnq≤ ynq+γnBAxnByn+ γnBynBq,AxnByn. (.)

Put

K:= ( –ξn)I+ξnT ( –ηn)I+ηnT

,

G:= ( –ξn)I+ξnS ( –ηn)I+ηnS

.

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() BothKandGare quasi-nonexpansive; () Fix(K) =Fix(T)andFix(G) =Fix(S); () KandGdemiclosed at.

Hence from (.)(b) and (.) we have

xn+–p=αnxn+ ( –αn) ( –ξn)I+ξnT ( –ηn)I+ηnT

unp)

=αn(xnp) + ( –αn)(Kunp)

=αnxnp+ ( –αn)Kunp–αn( –αn)Kunxn

αnxnp+ ( –αn)unp–αn( –αn)Kunxn. (.)

Similarly from (.)(c) and (.) we have

yn+–q≤αnynq+ ( –αn)vnq–αn( –αn)Gvnyn. (.)

Adding (.) and (.) and by virtue of (.) and (.), we have

xn+–p+yn+–q

αnxnp+αnynq+ ( –αn)unp+ ( –αn)vnq

αn( –αn)Kunxn–αn( –αn)Gvnyn

αnxnp+ ( –αn)

xnp+γnAAxnByn

– γnAxnAp,AxnByn

+αnynq+ ( –αn)

ynp+γnBAxnByn

+ γnBynBq,AxnByn

αn( –αn)Kunxn–αn( –αn)Gvnyn

=xnp+ynq+γn( –αn)

A+BAxnByn

– ( –αn)γn

AxnAp,AxnBynBynBq,AxnByn

αn( –αn)

Kunxn+Gvnyn

=xnp+ynq+γn( –αn)

A+BAxnByn

– ( –αn)γnAxnByn–αn( –αn)

Kunxn+Gvnyn

(sinceAp=Bq)

=xnp+ynq– ( –αn)γn  –γn A+B

AxnByn

αn( –αn)

Kunxn+Gvnyn

. (.)

Sinceγn∈(,min{A,A}),γnA<  andγnB< . So  <γn(A+B) < . This

implies thatγn( –γn(A+B)) > .

Putting

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hence (.) can be written as

Xn+(p,q)Xn(p,q) – ( –αn)γn  –γn A+B

AxnByn

αn( –αn)

Kunxn+Gvnyn

Xn(p,q). (.)

This implies that{Xn(p,q)}is a non-increasing sequence, hence the limitlimn→∞Xn(p,q)

exists. Therefore the following limits exist:

lim

n→∞xnp and nlim→∞ynq ∀(p,q). (.)

Rewritten (.) as

( –αn)γn  –γn A+B

AxnByn

+αn( –αn)

Kunxn+Gvnyn

Xn(p,q) –Xn+(p,q). (.)

Lettingn→ ∞and taking the limit in (.), we have

AxnByn →; Kunxn →; Gvnyn →. (.)

From (.) and (.) we have

⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

limn→∞unxn → and limn→∞vnyn →, limn→∞xn+–xn

=limn→∞( –αn)(( –ξn)I+ξnT(( –ηn)I+ηnT))unxn

=limn→∞( –αn)Kunxn= , limn→∞yn+–yn

=limn→∞( –βn)(( –ξn)S+ξnS(( –ηn)I+ηnS))ynyn

=limn→∞( –αn)Gvnyn= .

(.)

This together with (.) shows that

KununKunxn+xnun →;

GvnvnGvnyn+ynvn →.

(.)

Since{xn}and{yn}are bounded sequences, there exist some weakly convergent

subse-quences, say{xni} ⊂ {xn}and{yni} ⊂ {yn}such thatxni x∗ andyni y∗. Since every Hilbert space has the Opial property. The Opial property guarantees that the weakly sub-sequential limit of{(xn,yn)}is unique. Therefore we havexn x∗andyn y∗.

On the other hand, from (.), one getsun x∗andvn y∗. By (.) and the

demi-closed property ofKandG, we haveKx∗=x∗andGy∗=y∗. This implies thatx∗∈Fix(T) andy∗∈Fix(S).

Now we are left to show thatAx∗=By∗. In fact, sinceAxnByn Ax∗–By∗, by using

the weakly lower semi-continuity of squared norm, we have

Ax∗–By∗=lim inf

n→∞ AxnByn= lim

n→∞AxnByn= .

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Now we prove the conclusion (II). In fact, by virtue of (.), (.), and (.), we have

xnTxnξn(–Lηn)xnKxn →; ynSynξn(–Lηn)ynGyn →.

(.)

SinceS,T are semi-compact, it follows from (.) that there exist subsequences{xni} ⊂ {xn}and{ynj} ⊂ {yn}such thatxnix(some point inF(T)) andynjy(some point in F(S)). It follows from (.),xn x∗, andyn y∗ thatxnx∗andyny∗ andAx∗=

By∗.

4 Applications

4.1 Application to the split equality variational inequality problem

Throughout this section, we assume thatH,H, andH are three real Hilbert spaces.

C andQboth are nonempty and closed convex subsets ofH andH, respectively and

assume thatA:H→HandB:H→Hare two bounded linear operator with its adjoint

A∗andB∗, respectively.

LetM:CHbe a mapping.The variational inequality problem for mapping Mis to

find a pointx∗∈Csuch that

Mx∗,zx∗≥ ∀zC. (.)

We will denote the solution set of (.) byVI(M,C).

A mappingM:CHis said to beα-inverse-strongly monotoneif there exists a

con-stantα>  such that

MxMy,xyαMxMy ∀x,yC. (.)

It is easy to see that ifMisα-inverse-strongly monotone, thenMisα-Lipschitzian. Setting h(x,y) =Mx,yx:C×C→R, it is easy to show thathis anequilibrium function,i.e., it satisfies the following conditions, (A)-(A):

(A) h(x,x) = , for allxC;

(A) his monotone,i.e.,h(x,y) +h(y,x)≤for allx,yC; (A) lim supth(tz+ ( –t)x,y)h(x,y)for allx,y,zC;

(A) for eachxC,yh(x,y)is convex and lower semi-continuous.

For givenλ>  andxH, the resolvent of the equilibrium function his the operator ,h:HCdefined by

,h(x) :=

zC:h(z,y) +

λyz,zx ≥,∀yC

. (.)

Proposition .[] The resolvent operator Rλ,hof the equilibrium function h has the

fol-lowing properties:

() ,his single-valued;

() Fix(Rλ,h) =VI(M,C),whereVI(M,C)is the solution set of variational inequality

(.)which is a nonempty closed and convex subset ofC;

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LetT:CH andS:QH be twoα-inverse-strongly monotone mappings. The

so-calledsplit equality variational inequality problem with respect to T and Sis to find x∗∈Candy∗∈Qsuch that

⎧ ⎪ ⎨ ⎪ ⎩

(a) Tx∗,ux∗ ≥ ∀uC, (b) Sy∗,vy∗ ≥ ∀vQ, (c) Ax∗=By∗.

(.)

In the sequel we useto denote the solution set of split equality variational inequality problem (.),i.e.,

= x∗,y∗∈VI(T,C)×VI(S,Q) :Ax∗=By∗, (.) whereVI(T,C) (resp.VI(S,Q)) is the solution set of variational inequality (.)(a) (resp. (.)(b)).

Denote byf(x,y) =Tx,yx:C×C→Randg(u,v) =Su,vu:Q×Q→R. For givenλ> ,xH, anduH, let,f(x) and,g(u) be the resolvent operator of the

equilibrium functionf andg, respectively, which are defined by

,f(x) :=

zC:f(z,y) +

λyz,zx ≥,∀yC

and

,g(u) :=

zQ:g(z,v) +

λvz,zu ≥,∀vQ

.

It follows from Proposition . that

Fix(Rλ,f) =VI(T,C)=∅; Fix(Rλ,g) =VI(S,Q)=∅, (.)

and so,f and,g both are quasi-pseudo-contractive and -Lipschitzian. Therefore the

split equality variational inequality problem with respect toTandS(.) is equivalent to the following split equality fixed point problem:

to findx∗∈Fix(Rλ,f),y∗∈Fix(Rλ,g) such thatAx∗=By∗. (.)

Since,f and,g are firmly nonexpansive withFix(Rλ,f)=∅andFix(Rλ,g)=∅, the

fol-lowing theorem can be obtained from Theorem . immediately.

Theorem . Let H,H,H, C, Q,A, B,T,S,Rλ,f,,g,be the same as above and

assume that=∅.For given x∈C,y∈Q,let({xn},{xn})be the sequence generated by

⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩

un=xnγnA∗(AxnByn),

xn+=,f(un),

vn=yn+γnB∗(AxnByn),

yn+=,g(vn).

(.)

Ifγn∈(,min(A,B))∀n≥,then the sequence({xn,yn})generated by(.)converges

(11)

4.2 Application to the split equality convex minimization problem

LetC be a nonempty closed convex subset ofH andQbe a nonempty closed convex

subset ofH. Letφ:C→Randψ:Q→Rbe two proper and convex and lower

semi-continuous functions andA:H→HandB:H→Hbe two bounded linear operator

with its adjointA∗andB∗, respectively.

The so-calledsplit equality convex minimization problem forφandψis to findx∗∈C, y∗∈Qsuch that

φ x∗=min

x(x), ψ y

=min

x(y), and Ax

=By. (.)

In the sequel, we denote bythe solution set of split equality convex minimization prob-lem (.),i.e.,

=

(p,q)C×Qsuch thatφ x∗=min x(x),

ψ y∗=min

x(y) andAx

=By(.)

Letj(x,y) :=φ(y) –ψ(x) :C×C→Randk(u,v) :=φ(v) –ψ(u) :Q×Q→R. It is easy to see thatjandkboth are equilibrium functions satisfying the conditions (A)-(A).

For givenλ> ,xHanduH, we define the resolvent operators ofjandkas follows:

,j(x) :=

zC:j(z,y) +

λyz,zx ≥,∀yC

and

,k(u) :=

zQ:k(z,v) +

λvz,zu ≥,∀vQ

.

By the same argument as given in Section ., we know that

Fix(Rλ,j) =

x∗∈C:φ x∗=min x(x)

, Fix(Rλ,k) =

y∗∈Q:ψ y∗=min x(y)

.

Therefore the split equality convex minimization problem forφandψis equivalent to the following split equality fixed point problem:

to findx∗∈Fix(Rλ,j),y∗∈Fix(Rλ,k) such thatAx∗=By∗. (.)

Since,jand,kboth are firmly nonexpansive withFix(Rλ,f)=∅andFix(Rλ,g)=∅, the

following theorem can be obtained from Theorem . immediately.

Theorem . Let H, H,H, C, Q,A,B, φ,ψ, ,j,,k, be the same as above and

assume that=∅.For given x∈C,y∈Q,let({xn},{xn})be the sequence generated by

⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩

un=xnγnA∗(AxnByn),

xn+=,j(un),

vn=yn+γnB∗(AxnByn),

yn+=,k(vn).

(12)

Ifγn∈(,min(A,B))∀n≥,then the sequence({xn,yn})generated by(.)converges

weakly to a solution of split equality convex minimization problem(.).

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors read and approved the final manuscript.

Author details

1Center for General Education, China Medical University, Taichung, 40402, Taiwan.2College of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan 650221, P.R. China.3Department of Mathematics, Kunming University, Kunming, Yunnan 650214, China.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 11361070).

Received: 1 September 2015 Accepted: 5 November 2015

References

1. Censor, Y, Elfving, T: A multiprojection algorithm using Bregman projections in a product space. Numer. Algorithms8, 221-239 (1994)

2. Byrne, C: Iterative oblique projection onto convex subsets and the split feasibility problem. Inverse Probl.18, 441-453 (2002)

3. Censor, Y, Bortfeld, T, Martin, N, Trofimov, A: A unified approach for inversion problem in intensity-modulated radiation therapy. Phys. Med. Biol.51, 2353-2365 (2006)

4. Censor, Y, Elfving, T, Kopf, N, Bortfeld, T: The multiple-sets split feasibility problem and its applications. Inverse Probl. 21, 2071-2084 (2005)

5. Censor, Y, Motova, A, Segal, A: Perturbed projections and subgradient projections for the multiple-sets split feasibility problem. J. Math. Anal. Appl.327, 1244-1256 (2007)

6. Xu, HK: A variable Krasnosel’skii-Mann algorithm and the multiple-sets split feasibility problem. Inverse Probl.22, 2021-2034 (2006)

7. Yang, Q: The relaxedCQalgorithm for solving the split feasibility problem. Inverse Probl.20, 1261-1266 (2004) 8. Zhao, J, Yang, Q: Several solution methods for the split feasibility problem. Inverse Probl.21, 1791-1799 (2005) 9. Chang, S-s, Agarwal, RP: Strong convergence theorems of general split equality problems for quasi-nonexpansive

mappings. J. Inequal. Appl.2014, Article ID 367 (2014)

10. Chang, S-s, Wang, L, Tang, YK, Wang, G: Moudafi’s open question and simultaneous iterative algorithm for general split equality variational inclusion problems and general split equality optimization problems. Fixed Point Theory Appl.2014, Article ID 215 (2014)

11. Moudafi, A: A relaxed alternatingCQalgorithm for convex feasibility problems. Nonlinear Anal.79, 117-121 (2013) 12. Moudafi, A, Al-Shemas, E: Simultaneous iterative methods forsplit equality problem. Trans. Math. Program. Appl.1,

1-11 (2013)

13. Moudafi, A: Split monotone variational inclusions. J. Optim. Theory Appl.150, 275-283 (2011) 14. Che, H, Li, M: A simultaneous iterative method for split equality problems of two finite families of strictly

pseudononspreading mappings without prior knowledge of operator norms. Fixed Point Theory Appl.2015, Article ID 1 (2015)

15. Bauschke, HH, Combettes, PL: A weak-to-strong convergence principle for Fejer-monotone methods in Hilbert spaces. Math. Oper. Res.26, 248-264 (2001)

16. Yao, Y, Liou, Y-C, Yao, J-C: Split common fixed point problem for two quasi-pseudo-contractive operators and its algorithm construction. Fixed Point Theory Appl.2015, Article ID 127 (2015)

References

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