R E S E A R C H
Open Access
New algorithms designed for the split
common fixed point problem of
quasi-pseudocontractions
Li-Jun Zhu
1, Yeong-Cheng Liou
2,3*, Jen-Chih Yao
3,4and Yonghong Yao
5*Correspondence:
2Department of Information
Management, Cheng Shiu University, Kaohsiung, 833, Taiwan
3Center for Fundamental Science,
Kaohsiung Medical University, Kaohsiung, 807, Taiwan Full list of author information is available at the end of the article
Abstract
In this paper, we study the split common fixed point problem, which is to find a fixed point of a quasi-pseudocontractive mapping in one space whose image under a linear transformation is a fixed point of anther quasi-pseudocontractive mapping in the image space. We design and analyze a new iterative algorithm for solving this split common fixed point problem. A weak convergence theorem is given.
MSC: 49J53; 49M37; 65K10; 90C25
Keywords: split common fixed point; quasi-pseudocontractive mappings; weak convergence
1 Background and motivation
LetCandQbe nonempty closed convex subsets of real Hilbert spacesHandH, respec-tively. The split feasibility problem is formulated as finding a pointx∗with the property
x∗∈C and Ax∗∈Q, (.)
whereA:H→H is a bounded linear operator. The split feasibility problem in finite-dimensional Hilbert spaces was first introduced by Censor and Elfving [] for modeling in-verse problems which arise from phase retrievals and in medical image reconstruction []. A special case of the split feasibility problem (.) is whenQ={b}is singleton and then (.) is reduced to the convexly constrained linear inverse problem []
x∗∈C and Ax∗=b, (.)
which has received considerable attention.
The well-known projected Landweber algorithm [] is widely used to solve (.). This algorithm generates a sequence{xn}in such a way that we have
• initialization:xselected inHarbitrarily, and • iteration:
xn+=PC
xn+γAT(b–Axn)
, (.)
wherePCdenotes the nearest point projection fromHontoC,γ > is a parameter
such that <γ < /A, andATis the transpose ofA.
When the system (.) is reduced to the unconstrained linear system
Ax∗=b, (.)
then the projected Landweber algorithm [] is turned to the Landweber algorithm:
xn+=xn+γAT(b–Axn). (.)
The simultaneous algebraic reconstruction technique is a typical example of the Landwe-ber algorithm (.) when the system (.) is finite-dimensional.
The first iterative algorithm for solving the split feasibility problem (.) in the finite-dimensional case is proposed by Censor and Elfving [] who define a sequencexnby the
recursion:
xn+=A–PQ
PA(C)(Axn)
, n≥, (.)
whereCandQare closed convex sets ofRn, andAis ann×nmatrix of full rank. Here
A(C) ={y∈Rn:y=Ax,x∈C}is the image ofCunder the matrixA.
Because of the presence of the inverseA–, the algorithm (.) has not become popular. A more popular algorithm that solves the split feasibility problem (.) is the so-called CQ algorithm introduced by Byrne []. This algorithm, which does not involveA–, generates a sequence{xn}as follows:
xn+=PC
xn–γAT(I–PQ)Axn
, n≥, (.)
where <γ < /AandP
Qdenotes the nearest point projection fromHontoQ.
Conse-quently, Xu [] extend the above results from the finite-dimensional spaces to the infinite-dimensional spaces.
In the case whereCandQin (.) are the intersections of finitely many fixed point sets of nonlinear operators, problem (.) is called by Censor and Segal [] the split common fixed point problem. More precisely, the split common fixed point problem requires one to seek an elementx∗∈Hsatisfying
x∗∈
m
i=
Fix(Si) and Ax∗∈ n
j=
Fix(Tj), (.)
whereFix(Si) andFix(Tj) denote the fixed point sets of two classes of nonlinear operators
Si:H→H andTj:H→H. In this situation, Byrne’s CQ algorithm does not work because the metric projection onto fixed point sets is generally not easy to calculate. To solve the two-set split common fixed point problem, motivated by the algorithms (.) and (.), Censor and Segal [] proposed the following iterative method: For any initial guess x∈H, define{xn}recursively by
xn+=U
xn–λA∗(I–T)Axn
whereUandT are directed operators andλ> is known as the step-size. They proved that if λ∈(,A), then (.) converges to a split common fixed point x∗∈ ={x∈
Fix(U);Ax∈Fix(T)}. Consequently, Moudafi [] extended (.) to the following relaxed
algorithm:
⎧ ⎨ ⎩
un=xn–γA∗(I–T)Axn,
xn+= ( –αn)un+αnU(un), n∈N,
where UandT are demicontractive operators,β∈(, ),γ ∈(,–μλ ) withλbeing the spectral radius of the operatorA∗Aandαn∈(, ) is relaxation parameter. We note that the
classes of directed and demicontractive operators are important classes since they include the orthogonal projections and the subgradient projectors. For some other related work, please refer to [–] and [].
In the present paper, our main motivation is to extend the classes of directed and demicontractive operators to the class of quasi-pseudocontractions because the class of quasi-pseudocontractions includes the classes of directed and demicontractive operators as special cases. Interest in pseudocontractive mappings stems mainly from their firm connection with the class of monotone operators. We present a unified framework for the study of this problem and this class of operators. We propose an iterative algorithm and study its convergence.
2 Notations and lemmas
LetHbe a real Hilbert space with inner product·,·and norm · , respectively. LetC be a nonempty closed convex subset ofH.
Recall that a mappingT:C→Cis called
• nonexpansive ifTx–Ty ≤ x–yfor allx,y∈C;
• quasi-nonexpansive ifTx–x∗ ≤ x–x∗for allx∈Candx∗∈Fix(T);
• firmly nonexpansive ifTx–Ty≤ x–y–(I–T)x– (I–T)yfor allx,y∈C;
• firmly quasi-nonexpansive ifTx–x∗≤ x–x∗–Tx–xfor allx∈Cand x∗∈Fix(T);
• strictly pseudocontractive ifTx–Ty≤ x–y+k(I–T)x– (I–T)yfor all x,y∈C, wherek∈[, );
• directed ifTx–x∗,Tx–x ≤for allx∈Candx∗∈Fix(T);
• demicontractive ifTx–x∗≤ x–x∗+kTx–xfor allx∈Candx∗∈Fix(T),
wherek∈[, ).
The concept of directed operators was introduced by Bauschke and Combettes [] who proved thatT:C→Cis directed if and only if
Tx–x∗≤x–x∗–Tx–x
for allx∈C andx∗∈Fix(T). It can be seen easily that the class of directed operators coincides with that of firmly quasi-nonexpansive mappings.
fundamental because they include many types of nonlinear operators arising in applied mathematics and optimization; see for example [] and references therein.
Recall also that a mappingT:C→Cis called pseudocontractive if
Tx–Ty,x–y ≤ x–y
for allx,y∈C. It is well known thatTis pseudocontractive if and only if
Tx–Ty≤ x–y+(I–T)x– (I–T)y
for allx,y∈CandT:C→Cis said to be quasi-pseudocontractive if
Tx–x∗
≤x–x∗+Tx–x (.)
for allx∈Candx∗∈Fix(T).
It is obvious that the class of quasi-pseudocontractive mappings includes the class of demicontractive mappings.
A mappingT:C→Cis calledL-Lipschitzianif there existsL> such that
Tx–Ty ≤Lx–y
for allx,y∈C.
Usually, the convergence of fixed point algorithms requires some additional smoothness properties of the mappingT such as demiclosedness.
Recall that a mappingTis said to be demiclosed if, for any sequence{xn}which weakly
converges tox, and if the sequence˜ {T(xn)}strongly converges toz, we haveT(˜x) =z.
Observe also that the nonexpansive operators are both quasi-nonexpansive and strictly pseudocontractive maps and are well known for being demiclosed. For the pseudocon-tractions, the following demiclosedness principle is well known.
Lemma .([]) Let H be a real Hilbert space,C a closed convex subset of H.Let U:
C→C be a continuous pseudocontractive mapping.Then
(i) Fix(U)is a closed convex subset ofC, (ii) (I–U)is demiclosed at zero.
In the next section, we will need to impose the demiclosedness to the quasi-pseudocon-tractions.
It is well known that in a real Hilbert spaceH, the following equality holds:
tx+ ( –t)y=tx+ ( –t)y–t( –t)x–y (.)
for allx,y∈Handt∈[, ].
Lemma .([]) Let H be a Hilbert space and let{un}be a sequence in H such that there
exists a nonempty set⊂H satisfying the following:
(i) for everyu∈,limnun–uexists,
(ii) any weak-cluster point of the sequence{un}belongs in.
Then there exists x†∈such that{u
In the sequel we shall use the following notations:
. ωw(un) ={x:∃unj→xweakly}denote the weakω-limit set of{un};
. un xstands for the weak convergence of{un}tox;
. un→xstands for the strong convergence of{un}tox. 3 Main results
In this section, we will focus our attention on the following general two-operator split common fixed point problem:
findx∗∈Csuch thatAx∗∈Q, (.)
whereA:H→His a bounded linear operator,U:H→His a quasi-pseudocontractive mapping andT :H→H is a quasi-pseudocontractive mapping with nonempty fixed point setsFix(U) =CandFix(T) =Q, and we denote the solution set of the two-operator split common fixed point problem by
={x∈C;Ax∈Q}.
Algorithm . Foru∈H, define a sequence{un}as follows:
⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩
xn=un+γ νA∗[ηI+ ( –η)T(( –β)I+βT) –I]Aun,
yn= ( –ξn)xn+ξnUxn,
un+= [ – ( –δn)αn]xn+ ( –δn)αnUyn
(.)
for alln∈N, whereγ,ν,η, andβare four constants,{αn},{δn}, and{ξn}are three sequences
in [, ].
Now, we demonstrate the convergence analysis of the algorithm (.).
Theorem . Let H and Hbe two real Hilbert spaces.Let A:H→H be a bounded
linear operator.Let U:H→Hand T:H→Hbe two L-Lipschitzian quasi-pseudocon-tractions with nonemptyFix(U) =C andFix(T) =Q.Assume T–I and U–I are demiclosed atand=∅.If the parametersγ,ν,η,β,{αn},{δn},and{ξn}satisfy the following control
conditions:
(C): <ν< and <γ <λν,whereλis the spectral radius of the operatorA∗A;
(C): <lim infn→∞αn≤lim supn→∞αn< ;
(C): < –η≤β<√+L+ and <a≤ –δn≤ξn<
√
+L+ for alln∈N.
Then the sequence{un}generated by algorithm(.)weakly converges to a split common
fixed pointμ∈.
Remark . Without loss of generality, we may assume that the Lipschitz constantL> .
It is obvious thatβ<√
+L+ <
Lfor alln≥.
Sinceξn<√+L+, we have
– ξn–ξnL>
Proposition . Let the mapping T:H→Hbe L-Lipschitzian with L> .Then
Fix(T) =FixT( –β)I+βT
for allβ∈(,
L).
Proof As a matter of fact,Fix(T)⊂Fix(T(( –β)I+βT)) is obvious. Next, we show thatFix(T(( –β)I+βT))⊂Fix(T).
Take anyx∗∈Fix(T((–β)I+βT)). We haveT((–β)I+βT)x∗=x∗. SetS= (–β)I+βT. We haveTSx∗=x∗. WriteSx∗=y∗. ThenTy∗=x∗. Now we showx∗=y∗. In fact,
x∗–y∗=Ty∗–Sx∗
=Ty∗– ( –β)x∗–βTx∗ =βTy∗–Tx∗
≤βLy∗–x∗.
Sinceβ< L, we deduce y∗=x∗∈Fix(S) =Fix(T). Thus,x∗∈Fix(T). Hence, Fix(T(( – β)I+βT))⊂Fix(T). Therefore,Fix(T(( –β)I+βT)) =Fix(T).
Proposition .
ηx+ ( –η)T( –β)I+βTx–x∗≤x–x∗
for all x∈Hand all x∈Fix(T).
Proof Sincex∗∈Fix(T), we have from (.)
T( –β)I+βTx–x∗≤( –β)x–x∗+βTx–x∗
+( –β)I+βTx–T( –β)I+βTx (.)
and
Tx–x∗≤x–x∗+Tx–x (.)
for allx∈H.
By (.), (.), and (.), we obtain
T( –β)I+βTx–x∗
≤( –β)x–x∗+βTx–x∗
+( –β)I+βTx–T( –β)I+βTx
=( –β)x–T( –β)I+βTx+βTx–T( –β)I+βTx
+( –β)x–x∗+βTx–x∗
–β( –β)x–Tx+ ( –β)x–x∗+βTx–x∗–β( –β)x–Tx ≤( –β)x–x∗+βx–x∗+x–Tx
– β( –β)x–Tx+ ( –β)x–T( –β)I+βTx
+βTx–T( –β)I+βTx.
Noting thatT isL-Lipschitzian andx– (( –β)I+βT)x=β(x–Tx), we have
T( –β)I+βTx–x∗
≤( –β)x–x∗+βx–x∗+x–Tx
– β( –β)x–Tx+ ( –β)x–T( –β)I+βTx+βLx–Tx
=x–x∗+ ( –β)x–T( –β)I+βTx–β – β–βLx–Tx. (.)
Sinceβ<√
+L+, we have
– β–βL> .
From (.), we can deduce
T( –β)I+βTx–x∗≤x–x∗+ ( –β)x–T( –β)I+βTx (.)
for allx∈Handx∗∈Fix(T). Hence,
ηx+ ( –η)T( –β)I+βTx–x∗
≤ηx–x∗+ ( –η)T( –β)I+βTx–x∗
=ηx–x∗+ ( –η)T( –β)I+βTx–x∗
–η( –η)T( –β)I+βTx–x
≤ηx–x∗+ ( –η)x–x∗+ ( –β)x–T( –β)I+βTx
–η( –η)T( –β)I+βTx–x
=x–x∗+ ( –η)( –β–η)T( –β)I+βTx–x. (.)
By (C) and (.), we deduce
ηx+ ( –η)T( –β)I+βTx–x∗≤x–x∗.
Proposition . Let the mapping T:H→H be L-Lipschitzian with L> .If T–I is
demiclosed at,then T(( –β)I+βT) –I is also demiclosed atwhenβ∈(,L).
Proof Let the sequence{xn} ⊂Hsatisfyingxn x˜andxn–T(( –β)I+βT)xn→. Next,
From Proposition ., we only need to prove thatx˜∈Fix(T). As a matter of fact, since T isL-Lipschitzian, we have
xn–Txn ≤xn–T
( –β)I+βTxn+T
( –β)I+βTxn–Txn
≤xn–T
( –β)I+βTxn+βLxn–Txn.
It follows that
xn–Txn ≤
–βLxn–T
( –β)I+βTxn.
Hence,
lim
n→∞xn–Txn= .
Applying the demiclosedness ofT, we immediately deducex˜∈Fix(T).
Next, we prove Theorem ..
Proof Letx∗∈. Then we getx∗∈Fix(U) andAx∗∈Fix(T). From (.) and (.), we have
un+–x∗
= – ( –δn)αn
xn+ ( –δn)αnUyn–x∗
=( –αn)
xn–x∗
+αn
δnxn+ ( –δn)Uyn–x∗
= ( –αn)xn–x∗
+αnδnxn+ ( –δn)Uyn–x∗
–αn( –αn)δnxn+ ( –δn)Uyn–xn
=αn
δnxn–x∗
+ ( –δn)Uyn–x∗
–δn( –δn)Uyn–xn
+ ( –αn)xn–x∗
–αn( –αn)δnxn+ ( –δn)Uyn–xn
. (.)
Sincex∗∈Fix(U), we have from (.)
Ux–x∗≤x–x∗+x–Ux (.)
for allx∈C.
By a similar argument to that of (.), we obtain
Uyn–x∗≤xn–x∗+ ( –ξn)xn–Uyn. (.)
Substituting (.) to (.) and noting that –ξn≤δn, we have un+–x∗
≤( –αn)xn–x∗
+αn
δnxn–x∗
+ ( –δn)xn–x∗
+ ( –ξn)xn–Uyn
–δn( –δn)Uyn–xn
–αn( –αn)δnxn+ ( –δn)Uyn–xn
= ( –αn)xn–x∗
+αnxn–x∗
–αn( –αn)δnxn+ ( –δn)Uyn–xn
≤xn–x∗–αn( –αn)δnxn+ ( –δn)Uyn–xn. (.)
Sinceλis the spectral radius of the operatorAA∗, we deduce
ηI+ ( –η)T( –β)I+βT–IAun,AA∗
ηI+ ( –η)T( –β)I+βT–IAun
≤ληI+ ( –η)T( –β)I+βT–IAun
.
This together with (.) implies that
xn–x∗
=un–x∗+γ νA∗
ηI+ ( –η)T( –β)I+βT–IAun
=un–x∗
+ γ νA∗ηI+ ( –η)T( –β)I+βT–IAun,un–x∗
+γνA∗ηI+ ( –η)T( –β)I+βT–IAun
=un–x∗+ γ ν
A∗ηI+ ( –η)T( –β)I+βT–IAun,un–x∗
+γνηI+ ( –η)T( –β)I+βT–IAun,
AA∗ηI+ ( –η)T( –β)I+βT–IAun
≤un–x∗
+ γ νA∗ηI+ ( –η)T( –β)I+βT–IAun,un–x∗
+γνληI+ ( –η)T( –β)I+βT–IAun
. (.)
By Proposition . and noting thatAx∗∈Fix(T), we have
ηI+ ( –η)T( –β)I+βTAun–Ax∗≤Aun–Ax∗.
At the same time, we have the following equality in Hilbert spaces:
x–y=x+y– x,y. (.)
In (.), picking upx= [ηI+ ( –η)T(( –β)I+βT) –I]Aunandy= [ηI+ ( –η)T(( –
β)I+βT)]Aun–Ax∗we deduce Aun–Ax∗
=ηI+ ( –η)T( –β)I+βT–IAun
–ηI+ ( –η)T( –β)I+βTAun–Ax∗
=ηI+ ( –η)T( –β)I+βT–IAun
+ηI+ ( –η)T( –β)I+βTAun–Ax∗
– ηI+ ( –η)T( –β)I+βT–IAun,
ηI+ ( –η)T( –β)I+βTAun–Ax∗
≤ηI+ ( –η)T( –β)I+βT–IAun
+Aun–Ax∗
– ηI+ ( –η)T( –β)I+βT–IAun,
ηI+ ( –η)T( –β)I+βTAun–Ax∗
It follows that
ηI+ ( –η)T( –β)I+βT–IAun,
ηI+ ( –η)T( –β)I+βTAun–Ax∗
≤
ηI+ ( –η)T
( –β)I+βT–IAun
.
Thus,
A∗ηI+ ( –η)T( –β)I+βT–IAun,un–x∗
=ηI+ ( –η)T( –β)I+βT–IAun,Aun–Ax∗
=ηI+ ( –η)T( –β)I+βT–IAun,
ηI+ ( –η)T( –β)I+βTAun–Ax∗
+ηI+ ( –η)T( –β)I+βT–IAun,
Aun–
ηI+ ( –η)T( –β)I+βTAun
≤
ηI+ ( –η)T
( –β)I+βT–IAun
–ηI+ ( –η)T( –β)I+βT–IAun
= –
ηI+ ( –η)T
( –β)I+βT–IAun
. (.)
From (.), (.), and (.), we get
un+–x∗≤un–x∗–γ ν( –λγ ν)ηI+ ( –η)T
( –β)I+βT–IAun
–αn( –αn)δnxn+ ( –δn)Uyn–xn. (.)
We deduce immediately that
un+–x∗≤un–x∗.
Hence,limn→∞un–x∗exists. This implies that{un}is bounded. Consequently, we have
≤γ ν( –λγ ν)ηI+ ( –η)T( –β)I+βT–IAun
≤un–x∗
–un+–x∗
→.
Therefore,
lim
n→∞ηI+ ( –η)T
( –β)I+βT–IAun= . (.)
Since{un}is bounded,ωw(un)=∅. We can takeμ∈ωw(un), that is, there exists{unj}such
thatω–limj→∞unj=μ. SinceT –Iis demiclosed at , by Proposition ., we see that
T(( –β)I+βT) –Iis also demiclosed at . Then, from (.), we obtain
ηI+ ( –η)T( –β)I+βT–IAμ= .
From (.), we deduce
αn( –αn)δnxn+ ( –δn)Uyn–xn≤un–x∗–un+–x∗→.
This together with (C) implies that
lim
n→∞δnxn+ ( –δn)Uyn–xn=n→∞lim( –δn)Uyn–xn= .
Noticing that –δn≥a, we get immediately
lim
n→∞Uyn–xn= .
SinceUisL-Lipschitzian, we have
Uxn–xn ≤ Uxn–Uyn+Uyn–xn
≤Lxn–yn+Uyn–xn
=LξnUxn–xn+Uyn–xn.
It follows that
Uxn–xn ≤
–Lξn
Uyn–xn.
Sinceξn<√+L+<
L, we deduce
lim
n→∞Uxn–xn= . (.)
From (.) and (.), we have limn→∞xn–un= . Thus,ω–limj→∞xnj =μ. By the
demiclosedness ofU–Iat and (.), we getμ∈Fix(U). Hence,μ∈Fix(U). Therefore, μ∈.
Note that there is no more than one weak-cluster point of{un}. In fact, if we assume there
exists another{unk}such thatω–limk→∞unk=μ˜=μ, then we can deduceμ˜ ∈Fix(U).
Now we showμ˜=μ. By the Opial property of Hilbert space, we have
lim inf
k→∞ unk–μ˜<lim infk→∞ unk–μ=n→∞limun–μ
=lim inf
j→∞ unj–μ<lim infj→∞ unj–μ˜
= lim
n→∞un–μ˜
=lim inf
k→∞ unk–μ˜.
This is a contradiction. Hence, the weak convergence of the whole sequence{un}follows
by applying Lemma . with=. This completes the proof.
Remark . Since the class of quasi-pseudocontractions contains the demicontractive
Corollary . Let H and Hbe two real Hilbert spaces.Let A:H→Hbe a bounded linear operator.Let U:H→Hand T:H→Hbe two L-Lipschitzian demicontractive mappings with nonemptyFix(U) =C andFix(T) =Q.Assume T–I and U–I are demi-closed atand=∅.If the parametersγ,ν,η,β,{αn},{δn}and{ξn}satisfy the following
control conditions:
(C): <ν< and <γ <λν,whereλis the spectral radius of the operatorA∗A;
(C): <lim infn→∞αn≤lim supn→∞αn< ;
(C): < –η≤β<√+L+ and <a≤ –δn≤ξn<
√
+L+ for alln∈N.
Then the sequence{un}generated by algorithm(.)weakly converges to a split common
fixed pointμ∈.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
All authors read and approved the final manuscript.
Author details
1School of Mathematics and Information Science, Beifang University of Nationalities, Yinchuan, 750021, China. 2Department of Information Management, Cheng Shiu University, Kaohsiung, 833, Taiwan.3Center for Fundamental
Science, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.4Department of Mathematics, King Abdulaziz University,
P.O. Box 80203, Jeddah, 21589, Saudi Arabia.5Department of Mathematics, Tianjin Polytechnic University, Tianjin, 300387,
China.
Acknowledgements
Li-Jun Zhu was supported in part by NNSF of China (61362033). Yeong-Cheng Liou was supported in part by the Grants NSC 101-2628-E-230-001-MY3 and NSC 103-2923-E-037-001-MY3. Jen-Chih Yao was partially supported by the Grant NSC 103-2923-E-037-001-MY3.
Received: 22 April 2014 Accepted: 15 July 2014 Published:19 Aug 2014
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. Eicke, B: Iteration methods for convexly constrained ill-posed problems in Hilbert spaces. Numer. Funct. Anal. Optim.
13, 413-429 (1992)
4. Landweber, L: An iterative formula for Fredholm integral equations of the first kind. Am. J. Math.73, 615-624 (1951) 5. Xu, HK: Iterative methods for the split feasibility problem in infinite-dimensional Hilbert spaces. Inverse Probl.26,
105018 (2010)
6. Censor, Y, Segal, A: The split common fixed point problem for directed operators. J. Convex Anal.16, 587-600 (2009) 7. Moudafi, A: A note on the split common fixed-point problem for quasi-nonexpansive operators. Nonlinear Anal.74,
4083-4087 (2011)
8. Ceng, LC, Ansari, QH, Yao, JC: An extragradient method for split feasibility and fixed point problems. Comput. Math. Appl.64, 633-642 (2012)
9. Ceng, LC, Ansari, QH, Yao, JC: Relaxed extragradient methods for finding minimum-norm solutions of the split feasibility problem. Nonlinear Anal.75, 2116-2125 (2012)
10. Ceng, LC, Yao, JC: Relaxed and hybrid viscosity methods for general system of variational inequalities with split feasibility problem constraint. Fixed Point Theory Appl.2013, 43 (2013)
11. Dang, Y, Gao, Y: The strong convergence of a KM-CQ-like algorithm for a split feasibility problem. Inverse Probl.27, 015007 (2011)
12. Wang, F, Xu, HK: Approximating curve and strong convergence of the CQ algorithm for the split feasibility problem. J. Inequal. Appl.2010, Article ID 102085 (2010)
13. Wang, F, Xu, HK: Cyclic algorithms for split feasibility problems in Hilbert spaces. Nonlinear Anal.74, 4105-4111 (2011) 14. Yang, Q: The relaxed CQ algorithm solving the split feasibility problem. Inverse Probl.20, 1261-1266 (2004) 15. Yao, Y, Wu, J, Liou, YC: Regularized methods for the split feasibility problem. Abstr. Appl. Anal.2012, Article ID 140679
(2012)
16. Yu, X, Shahzad, N, Yao, Y: Implicit and explicit algorithms for solving the split feasibility problem. Optim. Lett.6, 1447-1462 (2012)
18. Zhao, J, Yang, Q: Several solution methods for the split feasibility problem. Inverse Probl.21, 1791-1799 (2005) 19. He, ZH, Du, WS: On hybrid split problem and its nonlinear algorithms. Fixed Point Theory Appl.2013, 47 (2013) 20. He, ZH, Du, WS: Nonlinear algorithms approach to split common solution problems. Fixed Point Theory Appl.2012,
130 (2012)
21. Chang, SS, Wang, L, Tang, YK, Yang, L: The split common fixed point problem for total asymptotically strictly pseudocontractive mappings. J. Appl. Math.2012, Article ID 385638 (2012)
22. Chang, SS, Kim, J, Cho, YJ, Sim, J: Weak and strong convergence theorems of solutions to split feasibility problem for nonspreading type mapping in Hilbert spaces. Fixed Point Theory Appl.2014, 11 (2014)
23. Cui, H, Su, M, Wang, F: Damped projection method for split common fixed point problems. J. Inequal. Appl.2013, 123 (2013). doi:10.1186/1029-242X-2013-123
24. Yao, Y, Postolache, M, Liou, YC: Strong convergence of a self-adaptive method for the split feasibility problem. Fixed Point Theory Appl.2013, 201 (2013)
25. Zhao, J, He, S: Alternating Mann iterative algorithms for the split common fixed-point problem of quasi-nonexpansive mappings. Fixed Point Theory Appl.2013, 288 (2013)
26. Deepho, J, Kumam, P: Mann’s type extragradient for solving split feasibility and fixed point problems of Lipschitz asymptotically quasi-nonexpansive mappings. Fixed Point Theory Appl.2013, 349 (2013)
27. Ansari, QH, Rehan, A: Split feasibility and fixed point problems. In: Ansari, QH (ed.) Nonlinear Analysis: Approximation Theory, Optimization and Applications, pp. 271-314. Springer, Berlin (2014)
28. Bauschke, HH, Combettes, PL: A weak-to-strong convergence principle for Feje-monotone methods in Hilbert spaces. Math. Oper. Res.26, 248-264 (2001)
29. Maruster, S, Popirlan, C: On the Mann-type iteration and convex feasibility problem. J. Comput. Appl. Math.212, 390-396 (2008)
30. Zhou, H: Strong convergence of an explicit iterative algorithm for continuous pseudo-contractions in Banach spaces. Nonlinear Anal.70, 4039-4046 (2009)
10.1186/1029-242X-2014-304