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Volume 2009, Article ID 124953,16pages doi:10.1155/2009/124953

Research Article

Generalized Strongly Nonlinear Implicit

Quasivariational Inequalities

Salahuddin and M. K. Ahmad

Department of Mathematics, Aligarh Muslim University, Aligarh 202002, India

Correspondence should be addressed to Salahuddin,[email protected] Received 11 February 2009; Accepted 17 June 2009

Recommended by Ram U. Verma

We prove an existence theorem for solution of generalized strongly nonlinear implicit quasivaria-tional inequality problems and convergence of iterative sequences with errors, involving Lipschitz continuous, generalized pseudocontractive and generalized g-pseudocontractive mappings in Hilbert spaces.

Copyrightq2009 Salahuddin and M. K. Ahmad. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. Introduction

Variational inequality was initially studied by Stampacchia1in 1964. Since then, it has been extensively studied because of its crucial role in the study of mechanics, physics, economics, transportation and engineering sciences, and optimization and control. Thanks to its wide applications, the classical variational inequality has been well studied and generalized in various directions. For details, readers are referred to2–5and the references therein.

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2. Preliminaries

LetHbe a real Hilbert space with norm · and inner product·,·. For a nonempty closed

convex subsetKH, letPKbe the projection ofHontoK. LetK:H → 2Hbe a set valued

mapping with nonempty closed convex values,F, g, G, A:HHandN:H×H×HH

be the mappings. We consider the following problem. FindxH, such thatgxKxand

gxNAx, Gx, Fx, ygx≥0,yKx. 2.1

The problem2.1is called thegeneralized strongly nonlinear implicit quasi-variational inequality problem.

Special Cases

iIfKx mx K, for allxH, whereKis a nonempty closed convex subset ofHand

m: HHis a mapping, then the problem2.1is equivalent to findingxHsuch that

gxmxKand

gxNAx, Gx, Fx, ygx≥0,yKmx, 2.2

the problem2.2is called generalized nonlinear quasi-variational inequality problem.

iiIf we assume A, G, Fas identity mappings, then2.1reduces to the problem of findingxHsuch thatgxKxand

gxNx, x, x, ygx≥0,yKx, 2.3

which is known as general implicit nonlinear quasi-variational inequality problem.

iiiIf we assumeNx, x, x Nx, x, then2.3reduces to the following problem of findingxHsuch thatgxKxand

gxNx, x, ygx≥0,yKx, 2.4

which is known as generalized implicit nonlinear quasi-variational inequality problem, a variant form as can be seen in20, equation2.6.

ivIf we assumegxNx, x xNx, x, then2.4reduces to the following problem of findingxHsuch thatgxKxand

xNx, x, ygx≥0,yKx. 2.5

The problem 2.5 is called the generalized strongly nonlinear implicit quasi-variational inequality problem, considered and studied by Cho et al.9.

vIfgI,I an identity mapping, then2.5is equivalent to findingxKxsuch that

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Problem2.6is called generalized strongly nonlinear quasi-variational inequality problem, see special cases of Cho et al.9.

viIfKx K,Ka nonempty closed convex subset ofHandNx, x Txfor all

xH, where T : HH a nonlinear mapping, then the problem 2.6is equivalent to findingxHsuch that

xTx, yx ≥0,yK, 2.7

which is a nonlinear variational inequality, considered by Verma17.

viiIfxTx Tx, for allxH, then 2.7reduces to the following problem for findingxHsuch that

Tx, yx ≥0,yK, 2.8

which is a classical variational inequality considered by1,4,5.

Now, we recall the following iterative process due to Ishikawa13, Mann14, Noor

15and Liu21.

1LetKbe a nonempty convex subset ofHandT :KXa mapping. The sequence {xn}, defined by

x0∈K, 2.9

xn1 1−αnxnαnTyn

yn

1−βn

xnβnTzn

zn

1−γn

xnγnTxn,

2.10

n ≥ 0, is called the three-step iterative process, where {αn},{βn}, and {γn} are three real

sequences in0,1satisfying some conditions.

2In particular, ifγn0 for alln≥0, then{xn}, defined by

x0∈K,

xn1 1−αnxnαnTyn

yn

1−βn

xnβnTxn,

2.11

n≥0, is called the Ishikawa iterative process, where{αn}and{βn}are two real sequences in

0,1satisfying some conditions.

3In particular, ifβn0 for alln≥0, then{xn}defined by

x0∈K

xn1 1−αnxnαnTxn,

2.12

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Recently Liu 21introduced the concept of three-step iterative process with errors which is the generalization of Ishikawa13and Mann14iterative process, for nonlinear strongly accretive mappings as follows.

4For a nonempty subsetKof a Banach spacesXand a mappingT : KX, the sequence{xn}, defined by

x0∈K,

xn1 1−αnxnαnTynun,

yn

1−βn

xnβnTznvn,

zn

1−γn

xnγnTxnwn,

2.13

n≥0, is called the three-step iterative process with errors. Here{un},{vn},and{wn}are three

summable sequences inXi.e.,∞n0un<∞,

n0vn<∞and

n0wn<∞, and

{αn},{βn},and{γn}are three sequences in0,1satisfying certain restrictions.

5In particular, ifγn0 forn≥0 andwn 0. The sequence{xn}defined by

x0∈K,

xn1 1−αnxnαnTynun,

yn

1−βn

xnβnTznvn,

2.14

n0,1,2, . . ., is called the Ishikawa iterative process with errors. Here{un}and{vn}are two

summable sequences inXi.e.,∞n0un<∞and∞n0vn<∞;{αn}and{βn}are two

sequences in0,1satisfying certain restrictions.

6In particular, ifβn0 andvn0 for alln≥0. The sequence{xn},defined by

x0∈K, 2.15

xn1 1−αnxnαnTynun 2.16

forn0,1,2, . . ., is called the Mann iterative process with errors, where{un}is a summable

sequence inXand{αn}a sequence in0,1satisfying certain restrictions.

However, in a recent paper 19Xu pointed out that the definitions of Liu21are against the randomness of the errors and revised the definitions of Liu21as follows.

7 Let K be a nonempty convex subset of a Banach space X and T : KX a mapping. For any givenx0∈K, the sequence{xn},defined by

x0∈K, 2.17

xn1αnxnβnTynγnun,

ynαx nβTz nγnvn,

znαxnβnTxnγnwn

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forn0,1,2, . . ., is called the three-step iterative process with errors, where{un},{vn},and

{wn}are three bounded sequences inKand{αn},{βn},{γn},{αn},{βn},{γn},{αn},{βn},and

{γn}are nine sequences in0,1satisfying the conditions

αnβnγn1, αnβnγn1, αnβnγn1 forn≥0. 2.19

8Ifβnγn0 forn0,1,2. . .the sequence{xn},defined by

x0∈K,

xn1αnxnβnTynγnun,

ynαx nβTx nγnvn

2.20

forn0,1,2, . . ., is called the Ishikawa iterative process with errors, where{un}and{vn}are

two bounded sequences inK,{αn},{βn},{γn},{αn},{βn},and{γn}are six sequences in0,1

satisfying the conditions

αnβnγn1, αnβnγn1 forn≥0. 2.21

9Ifβnγn0 forn0,1,2. . ., the sequence{xn}defined by

x0∈K,

xn1αnxnβnTxnγnun,

2.22

forn0,1,2, . . . ,is called the Mann iterative process with errors. For our main results, we need the following lemmas.

Lemma 2.1see3. IfKH is a closed convex subset andxH a given point, thenzK

satisfies the inequality

xz, yx≥0,yK, 2.23

if and only if

xPKz, 2.24

wherePKis the projection ofHontoK.

Lemma 2.2see10. The mappingPKdefined by2.24is nonexpansive, that is,

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Lemma 2.3see10. IfKu mu Kand KH is a closed convex subset, then for any

u, vH, one has

PKuv mu PKvmu. 2.26

Lemma 2.4see21. Letan,bnandcnbe three nonnegative real sequences satisfying

an1 1−tnanbncn, forn≥0,

tn∈0,1,

n0

tn, bnOtn,

n0

cn<.

2.27

Then

lim

n→ ∞an0. 2.28

By Lemma 2.1, we know that the generalized strongly nonlinear implicit quasi-variational inequality 2.1has a unique solution if and only if the mappingQ : HH

by

Qx xgx PKx gxtgxNAx, Gx, Fx 2.29

has a unique fixed point, wheret >0 is a constant.

3. Main Results

In this section, we establish an existence theorem for solution of generalized strongly nonlinear implicit quasi-variational inequality problems and convergence of the iterative sequences generated by2.18. First, we give some definitions.

Definition 3.1. A mappingT : HHis said to be generalized pseudo-contractive if there exists a constantr >0 such that

TxTy2≤r2xy2TxTyrxy2,x, yH. 3.1

It is easy to check that3.1is equivalent to

TxTy, xyrxy2. 3.2

Forr 1 in3.1, we get the usual concept of pseudo-contractive ofT, introduced by Browder and Petryshyn10, that is,

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Definition 3.2. LetA:HHandN:H×H×HHbe the mappings. The mappingN

is said to be as follows.

iGeneralized pseudo-contractive with respect toAin the first argument ofN, if there exists a constantp >0 such that

NAx, z, zNAy, z, z, xypxy2 ∀x, y, zH. 3.4

iiLipschitz continuous with respect to the first argument of N if there exists a constants >0 such that

Nx, z, zNy, z, zsxyx, y, zH. 3.5

In a similar way, we can define Lipschitz continuity of N with respect to the second and third arguments.

iiiAis also said to be Lipschitz continuous if there exists a constantη >0 such that AxAyηxy x, yH. 3.6

Definition 3.3. Letg, G:HHbe the mappings. A mappingN:H×H×HHis said to be the generalizedg-pseudo-contractive with respect to the second argument ofN, if there exists a constantq >0 such that

Nz, Gx, zNz, Gy, z, gxgyqgxgy2 ∀x, y, zH. 3.7

Definition 3.4. LetK :H → 2Hbe a set-valued mapping such that for eachxH,Kxis a

nonempty closed convex subset ofH. The projectionPKxis said to be Lipschitz continuous

if there exists a constantξ >0 such that

PKxzPKyzξxy,x, y, zH. 3.8

Remark 3.5. In many important applications,Kuhas the following form:

Kx mx K, 3.9

wherem :HHis a single-valued mapping andK a nonempty closed convex subset of

H. Ifmis Lipschitz continuous with constantχ >0, then fromLemma 2.3,PKxis Lipschitz

continuous with Lipschitz constantξ2χ.

Now, we give the main result of this paper.

Theorem 3.6. LetHbe a real Hilbert space andK:H → 2Ha set-valued mapping with nonempty

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continuous with positive constantsλandμ,respectively. A trimappingN : H×H×HH is generalized pseudo-contractive with respect toAin the first argument ofNwith constantp >0and generalizedg-pseudo-contractive with respect toGin the second argument ofNwith constantq >0, Lipschitz continuous with respect to the first, second, and third arguments with positive constants

s, δ, ζ,respectively. Suppose thatPKxis Lipschitz continuous with constantξ >0. Let{un},{vn},

and{wn}be the three bounded sequences inHand{αn},{βn},{γn},{αn},{βn},{γn},{αn},{βn},

and{γn}are sequences in0,1satisfying the following conditions:

1αnβnγnαnβnγnαnβnγn1, n≥0,

2limn→ ∞γnlimn→ ∞γnlimn→ ∞γn0,

3n0βn,

n0γn<.

If the following conditions hold:

thΩ−ph s2η2h2

<

4Ω−ph2−s2η2−h2−Ω

s2η2h2 ,

hΩ> phsηhsηhΩ2−Ω, hΩ> ph, h < sη

3.10

whereΩ 2λξ, hϕζd,andθ Ω 12ptt2s2η2th <1.

Then there exists a uniquexHsatisfying the generalized strongly nonlinear implicit quasi-variational inequality2.1andxnxasn → ∞, where{xn}is the three-step iteration process

with errors defined as follows:

x0∈H,

xn1αnxnβn

yng

yn

PKyn g

yn

tgyn

NAyn, Gyn, Fyn

γnun,

ynαnxnβn

zngzn PKzn gznt

gznNAzn, Gzn, Fzn

γnvn,

znαnxnβn

xngxn PKxn gxnt

gxnNAxn, Gxn, Fxn

γnwn

3.11

forn0,1,2, . . . .

Proof. We first prove that the generalized strongly nonlinear implicit quasi-variational inequality2.1has a unique solution. ByLemma 2.1, it is sufficient to prove the mapping defined by

Qx xgx PKx gxtgxNAx, Gx, Fx 3.12

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Letx, y be two arbitrary points inH. FromLemma 2.2and Lipschitz continuity of

PKuandIg, we have

QxQy

xgx PKx gxt

gxNAx, Gx, Fx

ygyPKy g

ytgyNAy, Gy, Fy

xgxygy

PKx gxtgxNAx, Gx, FxPKx gytgyNAy, Gy, Fy

PKx gytgyNAy, Gy, FyPKy gytgyNAy, Gy, Fy

≤2xgxygyxytNAx, Gx, FxNAy, Gx, Fx

tgxgyNAy, Gx, FxNAy, Gy, Fx

tNAy, Gy, FxNAy, Gy, Fyξxy

≤2λxyxytNAx, Gx, FxNAy, Gx, Fx

tgxgyNAy, Gx, FxNAy, Gy, Fx

tNAy, Gy, FxNAy, Gy, Fyξxy

≤2λξxyxytNAx, Gx, FxNAy, Gx, Fx

tgxgyNAy, Gx, FxNAy, Gy, Fx

tNAy, Gy, FxNAy, Gy, Fy.

3.13

Since N is generalized pseudo-contractive with respect to A in the first argument ofN and Lipschitz continuous with respect to first argument ofN and alsoAis Lipschitz continuous, we have

xytNAx, Gx, FxNAy, Gx, Fx2

xy22txy, NAx, Gx, FxNAy, Gx, Fx

t2NAx, Gx, FxNAy, Gx, Fx2

xy22tpxy2t2s2AxAy2

xy22tpxy2t2s2η2xy2

≤12tpt2s2η2xy2.

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Again sinceN is generalized g-pseudo-contractive with respect toG in the second argument ofN and Lipschitz continuous with respect to second argument ofN andG is Lipschitz continuous, we have

gxgyNAy, Gx, FxNAy, Gy, Fx2

gxgy2−2gxgy, NAy, Gx, FxNAy, Gy, Fx

NAy, Gx, FxNAy, Gy, Fx2

μ2xy2−2qgxgy2δ2GxGy2

μ2xy2−22xy2δ2σ2xy2

μ212qδ2σ2xy2,

3.15

NAy, Gy, FxNAy, Gy, FyζFxFyζdxy. 3.16

It follows from3.13–3.16that

QxQyθxy,x, yH, 3.17

where

θ Ω

12ptt2s2η2th,

ϕ

μ212qδ2σ2,

hϕζd.

3.18

From3.10, we know that 0< θ <1 and soQhas a unique fixed pointxH, which is a unique solution of the generalized strongly nonlinear implicit quasi-variational inequality

2.1.

Now we prove that{xn}converges tox. In fact, it follows from3.11andxQx

that

xn1−x

αnxnβn yng

yn

PKyn

gyn

tgyn

NAyn, Gyn, Fyn

γnunx

αnxnβn yng

yn

PKyn

gyn

tgyn

NAyn, Gyn, Fyn

γnun

αnxβn

xgx PKx gxtgxNAx, Gx, Fxγnx

αnxnxβnQ

yn

Qxγnunx.

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From3.17and3.19, it follows that

xn1−xαnxnxθβnynxγnunx. 3.20

Similarly, we have

ynx

αnxnβn zngzn PKzn

gznt

gznNAzn, Gzn, Fzn

γnvnx

αnxnx βn zngzn PKzn

gznt

gznNAzn, Gzn, Fzn

β xgx PKxgxtgxNAx, Gx, Fxγnvnx

αnxnxβnQznQxγnvnx

αnxnxβnθznxγnvnx.

3.21

Again,

znxαnxnnθxnnwnx. 3.22

Let

Mmax

sup

n

unx ,sup n

vnx,sup n

wnx, n≥0

. 3.23

ThenM <∞and

znxαnxnnθxnnM. 3.24

Similarly, we deduce from3.21the following:

ynxαnxnxβnθαnxnnβnθ2xnxβnθγnMγnM, 3.25

xn1−xαnxnxβnθynxMγnn≥0. 3.26

From the above inequalities, we get

xn1−xαnxnxβnθαnxnxβnθ2βnαnxnx

βnθ3βnβnxnxβnθ2βnγnMβnθMγnMγn

αnθβn

αnθβn

αnθβn

xnxMθβn

γnβnγnθ

Mγn

anxnxbncn,

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where

anαnθβn

αnθβn

αnθβn

, bnθMβn

γnβnγnθ

, cMγn. 3.28

Since 0< θ <1, it follows from conditions1and3that

anαnθβn

αnβnθ

αnθβn

≤1−βnθβn≤1−1−θβn, 3.29

θMβn

γnβnγnθ

Mγnγn

βn. 3.30

Therefore,

xn1−x

1−1−θβn

xnxM

γnγn

γnM. 3.31

From 3.29-3.31and Lemma 2.4, we know that{xn} converges to the solutionx.

This completes the proof.

Remark 3.7. We now deduceTheorem 3.6in the direction of Ishikawa iteration.

Theorem 3.8. Let H be a real Hilbert space and K : H → 2H a set-valued mapping with the

nonempty closed convex values. LetA, G, F, g,andNbe the same as inTheorem 3.6. Suppose that

PKxis Lipschitz continuous with constantξ >0. Let{un}and{vn}be the two bounded sequences

inHand{αn},{βn},{γn},{αn},{βn},and{γn}be six sequences in0,1satisfying the following

conditions:

1αnβnγn1, αnβnγn1, n≥0

2limn→ ∞βnlimn→ ∞βnlimn→ ∞γn0,

3n0βn, n∞0γn<.

If the following conditions holds:

θ Ω

12ptt2s2η2th <1, hϕζd, Ω 2λζ,

ϕ

μ212qδ2σ2

thΩ−ph s2η2h2

<

hΩ−ph2−s2η2h2Ω2Ω

s2η2h2 ,

hΩ> phsηhsηhΩ2−Ω, hΩ> ph, h < sη.

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Then there exists a uniquexHsatisfying the generalized strongly nonlinear implicit quasi-variational inequality2.1andxnxas n → ∞, where{xn}is the Ishikawa iteration process

with errors defined as follows:

x0∈H,

xn1αnxnβn

yng

yn

PKy

n g

yn

tgyn

NAyn, Gyn, Fyn

γnun,

ynαnxnβn

xngxn PKxn gxnt

gxnNAxn, Gxn, Fxn

γnvn

3.33

forn0,1,2, . . . .

Remark 3.9. We can also deduceTheorem 3.6in the direction of2.16.

Theorem 3.10. Let H, K, N, G, A, F, g, and PKx be the same as inTheorem 3.6. Let{un} be a

bounded sequence inHand{αn},{βn},and{γn}be three sequences in0,1satisfying the following

conditions:

1αnβnγn1forn≥0,

2limn→ ∞βn0,

3n0βnandn∞0γn<.

If the conditions of 3.10hold, then there exists a uniquexHsatisfying the generalized strongly nonlinear implicit quasi-variational inequality2.1andxnxasn → ∞, where{xn}is

the Mann iterative process with errors defined as follows:

x0∈H

xn1αnxnβn

xngxn PKxn gxnt

gxnNAxn, Gxn, Fxn

γnun

3.34

forn0,1,2, . . . .

Our results can be further improved in the direction of2.25.

Theorem 3.11. LetHbe a real Hilbert space andK:H → 2Ha set-valued mapping with nonempty

closed convex values. LetA, G, F : HH be the Lipschitz continuous mapping with respect to positive constantsη, σ and d,respectively. Let g : HH be the mapping such thatIg

andgbe Lipschitz continuous with respect to positive constantsλandμ,respectively. A trimapping

N:H×H×HHis generalized pseudo-contractive with respect to mapAin first argument ofN

with constantp >0and generalizedg-pseudo-contractive with respect toGin the second argument of

Nwith constantq >0, Lipschitz continuous with respect to first, second, and third arguments with positive constantss, δ, ζ, respectively. Suppose thatm : HH is a Lipschitz continuous with positive constantχ > 0. Let{un},{vn},and {wn}be three bounded sequences in 0,1satisfying

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uniquexHsatisfying2.2andxnxasn → ∞, where{xn}is the three step iteration process

with errors defined as follows:

x0 ∈H

xn1 αnxn

βn yng

yn

myn

PK

gyn

tgyn

NAyn, Gyn, Fyn

myn

γnun

ynαnxn

βn zngzn mzn PK

gzntgzn tNAzn, Gzn, Fznmzn

γnvn

znαnx

βn xngxn mxn PK

gxntgxn tNAxn, Gxn, Fxnmxn

γnwn

3.35

forn0,1,2, . . . .

Now, we deduceTheorem 3.6for three step iterative process in terms of2.10.

Theorem 3.12. LetH, K, N, G, A, F, gandPKxbe the same as inTheorem 3.6. Let{αn},{βn},

{αn},{βn},{αn},and{βn}be six sequences in0,1satisfying conditions:

1αnβn1, αnβn1, αnβn1,forn≥0,

2limn→ ∞βnlimn→ ∞βnlimn→ ∞βn0,

3n0βn.

If the conditions of 3.10 hold, then there existsxH satisfying2.1and xnxas

n → ∞, where the three-step iteration process{xn}is defined by

x0∈H,

xn1αnxnβn

yng

yn

PKyngyn

tgyn

NAyn, Gyn, Fyn

,

ynαnxnβn zngzn PKzn

gznt

gznNAzn, Gzn, Fzn

,

znαnxnβn xngxn PKxn

gxnt

gxnNAxn, Gxn, Fxn

3.36

forn0,1,2, . . . .

Next, we state the results in terms of iterations2.10and2.25.

Theorem 3.13. LetH, K, N, g, G, A, F,andmbe the same as in theTheorem 3.11. Let{αn},{βn},

{αn},{βn},{αn},and{βn}be six sequences in0,1satisfying conditions (1)–(3) ofTheorem 3.6. If

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nonlinear implicit quasi-variational inequality2.2andxnxasn → ∞, where the three-step

iteration process{xn}is defined by

x0∈H

xn1 αnxnβn yng

yn

myn

PK

gyn

tgyn

tNAyn, Gyn, Fyn

myn

ynαnxnβn zngzn mzn PK

gzntgzn tNAzn, Gzn, Fzn

mzn

znαnxnβn xngxn mxn PK

gxntgxn tNAxn, Gxn, Fxn

mxn

3.37

forn0,1,2, . . . .

Remark 3.14. Theorem 3.13can also be deduce for Ishikawa and Mann iterative process.

Acknowledgment

The authors thank the editor Professor R. U. Verma and anonymous referees for their valuable useful suggestions that improved the paper.

References

1 G. Stampacchia, “Formes bilin´eaires coercitives sur les ensembles convexes,”Comptes Rendus de l’Acad´emie des Sciences, vol. 258, pp. 4413–4416, 1964.

2 A. Bensoussan and J.-L. Lions,Impulse Control and Quasi-Variational Inequalities, Gauthier-Villars, Montrouge, France, 1984.

3 S. S. Chang, Variational Inequality and Complementarity Problem Theory with Application, Shanghai Scientific and Technological Literature Publishing House, Shanghai, China, 1991.

4 F. Giannessi and A. Maugeri,Variational Inequalities and Network Equilibrium Problems, Plenum Press, New York, NY, USA, 1995.

5 R. Glowinski, J. L. Lions, and R. Tremolieres,Numerical Analysis of Variational Inequalities, Studies in Mathematics and Its Applications, North-Holland, Amsterdam, The Netherlands, 1981.

6 N.-J. Huang, “Mann and Ishikawa type perturbed iterative algorithms for generalized nonlinear implicit quasi-variational inclusions,”Computers & Mathematics with Applications, vol. 35, no. 10, pp. 1–7, 1998.

7 N.-J. Huang, “On the generalized implicit quasi-variational inequalities,” Journal of Mathematical Analysis and Applications, vol. 216, pp. 197–210, 1997.

8 N.-J. Huang, “A new completely general class of variational inclusions with noncompact valued mappings,”Computers & Mathematics with Applications, vol. 35, no. 10, pp. 9–14, 1998.

9 Y. J. Cho, J. H. Kim, N.-J. Huang, and S. M. Kang, “Ishikawa and Mann iterative processes with errors for generalized strongly nonlinear implicit quasi-variational inequalities,”Publicationes Mathematicae Debrecen, vol. 58, no. 4, pp. 635–649, 2001.

10 F. E. Browder and W. V. Petryshyn, “Construction of fixed points of nonlinear mappings in Hilbert space,”Journal of Mathematical Analysis and Applications, vol. 20, pp. 197–228, 1967.

11 C. E. Chidume and E. U. Ofoedu, “A new iteration process for finite families of generalized Lipschitz pseudo-contractive and generalized Lipschitz accretive mappings,” Nonlinear Analysis: Theory, Methods & Applications, vol. 69, no. 4, pp. 1200–1207, 2008.

12 X. P. Ding, “Perturbed proximal point algorithms for generalized quasivariational inclusions,”Journal of Mathematical Analysis and Applications, vol. 210, no. 1, pp. 88–101, 1997.

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14 W. R. Mann, “Mean value methods in iteration,”Proceedings of the American Mathematical Society, vol. 4, pp. 506–510, 1953.

15 M. A. Noor, “New approximation schemes for general variational inequalities,” Journal of Mathematical Analysis and Applications, vol. 251, no. 1, pp. 217–229, 2000.

16 Y. Song, “On a Mann type implicit iteration process for continuous pseudo-contractive mappings,”

Nonlinear Analysis: Theory, Methods & Applications, vol. 67, no. 11, pp. 3058–3063, 2007.

17 R. U. Verma, “Generalized pseudo-contractions and nonlinear variational inequalities,”Publicationes Mathematicae Debrecen, vol. 53, no. 1-2, pp. 23–28, 1998.

18 C. H. Xiang, “Fixed point theorem for generalized φ-pseudocontractive mappings,” Nonlinear Analysis: Theory, Methods & Applications, vol. 70, no. 6, pp. 2277–2279, 2009.

19 Y. Xu, “Ishikawa and Mann iterative processes with errors for nonlinear strongly accretive operator equations,”Journal of Mathematical Analysis and Applications, vol. 224, no. 1, pp. 91–101, 1998.

References

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