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Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2013, Article ID 582865, 5 pages http://dx.doi.org/10.1155/2013/582865 Research Article An Iteration Scheme Suitable for Solving Limit Cycles of Nonsmooth Dynamical Systems Q. X. Liu, Y. M. Chen, and J. K. Liu Department of Mechanics, Sun Yat-sen University, Guangzhou 510275, China Correspondence should be addressed to Y. M. Chen; [email protected] Received 19 July 2013; Accepted 26 September 2013 Academic Editor: Mufid Abudiab Copyright © 2013 Q. X. Liu et al. is 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. e Mickens iteration method (MIM) is modified to solve self-excited systems containing nonsmooth nonlinearities and/or nonlinear damping terms. If the MIM is implemented routinely, the unknown frequency and amplitude of limit cycle (LC) would couple to each other in complicated nonlinear algebraic equations at each iteration. It is cumbersome to solve these algebraic equations, especially for nonsmooth systems. In the modified procedures, the unknown frequency is substituted by the determined value obtained at the previous iteration. By this means, the frequency is decoupled from the nonlinear terms. Numerical examples show that the LCs obtained by the modified MIM agree well with numerical results. e presented method is very suitable for solving self-excited systems, especially those with nonlinear damping and nonsmooth nonlinearities. 1. Introduction Recent years have witnessed the wide applications of iter- ation techniques, such as the Mickens iteration method (MIM) [16] and the variational iteration method [710]. In order to improve the efficiency, Lim and Wu [11], Mar- inca and Herisanu [12], and Hu [13] modified the MIM, respectively. In principle, the approximations can be obtained to any desired accuracy by the MIM as long as the iteration pro- ceeds. In the MIM, algebraic equations are introduced at each iteration to eliminate the so-called secular terms. In the appli- cations in conservative oscillators, the algebraic equations are linear. Nonlinear damping and nonsmooth terms appear widely in many dynamical systems [14, 15]. As for the oscil- lators with nonlinear damping terms, however, very compli- cated nonlinear algebraic equations have to be solved at each iteration [16]. Moreover, the algebraic equations cannot be deduced for systems with nonsmooth nonlinearities. It is necessary and worthwhile, therefore, to propose some approaches to simplify the MIM. is paper will present a modified iteration algorithm by decoupling the unknown frequency from nonlinear terms. 2. A Modified MIM Consider a self-excited oscillator .. + (, ̇)=0, (1) where the superscript denotes the differentiation with respect to time and (, ̇) is a nonlinear term with damping terms. Assume that system (1) has at least one limit cycle (LC) solu- tion. Since the LC frequency and amplitude are independent of initial conditions, they should be considered as unknowns to be determined at every iteration. Denote the angular frequency as and introduce the transformation as = ; thus, we rewrite (1) as 2 + 2 = 2 − (, ) (2) subject to the following initial conditions: (0) = , (0) = 0, (3) where is the unknown LC amplitude and the superscript denotes the differentiation with respect to . Note that will be approximated as a series { } by eliminating the secular

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Page 1: Research Article An Iteration Scheme Suitable for Solving ...downloads.hindawi.com/journals/mpe/2013/582865.pdfISk=3 RK ISk=5 F : eLCsolutionsofsystem( )with =1 obtainedbythe modi

Hindawi Publishing CorporationMathematical Problems in EngineeringVolume 2013 Article ID 582865 5 pageshttpdxdoiorg1011552013582865

Research ArticleAn Iteration Scheme Suitable for Solving Limit Cycles ofNonsmooth Dynamical Systems

Q X Liu Y M Chen and J K Liu

Department of Mechanics Sun Yat-sen University Guangzhou 510275 China

Correspondence should be addressed to Y M Chen chenyanmaohotmailcom

Received 19 July 2013 Accepted 26 September 2013

Academic Editor Mufid Abudiab

Copyright copy 2013 Q X Liu et alThis is an open access article distributed under the Creative Commons Attribution License whichpermits unrestricted use distribution and reproduction in any medium provided the original work is properly cited

The Mickens iteration method (MIM) is modified to solve self-excited systems containing nonsmooth nonlinearities andornonlinear damping terms If the MIM is implemented routinely the unknown frequency and amplitude of limit cycle (LC) wouldcouple to each other in complicated nonlinear algebraic equations at each iteration It is cumbersome to solve these algebraicequations especially for nonsmooth systems In the modified procedures the unknown frequency is substituted by the determinedvalue obtained at the previous iteration By this means the frequency is decoupled from the nonlinear terms Numerical examplesshow that the LCs obtained by the modified MIM agree well with numerical results The presented method is very suitable forsolving self-excited systems especially those with nonlinear damping and nonsmooth nonlinearities

1 Introduction

Recent years have witnessed the wide applications of iter-ation techniques such as the Mickens iteration method(MIM) [1ndash6] and the variational iteration method [7ndash10]In order to improve the efficiency Lim and Wu [11] Mar-inca and Herisanu [12] and Hu [13] modified the MIMrespectively

In principle the approximations can be obtained to anydesired accuracy by the MIM as long as the iteration pro-ceeds In theMIM algebraic equations are introduced at eachiteration to eliminate the so-called secular terms In the appli-cations in conservative oscillators the algebraic equationsare linear Nonlinear damping and nonsmooth terms appearwidely in many dynamical systems [14 15] As for the oscil-lators with nonlinear damping terms however very compli-cated nonlinear algebraic equations have to be solved at eachiteration [16] Moreover the algebraic equations cannot bededuced for systems with nonsmooth nonlinearities Itis necessary and worthwhile therefore to propose someapproaches to simplify the MIM This paper will present amodified iteration algorithm by decoupling the unknownfrequency from nonlinear terms

2 A Modified MIM

Consider a self-excited oscillator

119909 +119891 (119909 ) = 0 (1)

where the superscript denotes the differentiation with respectto time 119905 and119891(119909 ) is a nonlinear termwith damping termsAssume that system (1) has at least one limit cycle (LC) solu-tion Since the LC frequency and amplitude are independentof initial conditions they should be considered as unknownsto be determined at every iteration Denote the angularfrequency as 120596 and introduce the transformation as 120591 = 120596119905thus we rewrite (1) as

1205962

11990910158401015840

+ 1205962

119909 = 1205962

119909 minus 119891 (119909 1205961199091015840

) (2)

subject to the following initial conditions

119909 (0) = 120572 1199091015840

(0) = 0 (3)

where 120572 is the unknown LC amplitude and the superscriptdenotes the differentiation with respect to 120591 Note that 120572 willbe approximated as a series 120572

119896

by eliminating the secular

2 Mathematical Problems in Engineering

terms at each iteration stage In order to obtain the LC theMIM [16] can be given as

1205962

119896minus1

(11990910158401015840

119896

+ 119909119896

) = 1205962

119896minus1

119909119896minus1

minus 119891 (119909119896minus1

120596119896minus1

1199091015840

119896minus1

)

119896 = 1 2

(4)

with the initial conditions being rewritten at each iteration as

119909119896

(0) = 120572119896

1199091015840

119896

(0) = 0 (5)

Note that the coefficient of the first harmonic in 119909119896minus1

remainsstill to be an unknown that is120572

119896minus1

This unknownwill couplewith the unknown frequency120596

119896minus1

which will result in a cou-pled nonlinear term (ie 120596

119896minus1

1199091015840

119896minus1

) in the right side of (4) Ifhigher powers of1199091015840 exist these termswill lead to very compli-cated functions in 120596

119896minus1

and 120572119896minus1

Different from conservativesystems 1205962

119896minus1

can no longer be considered as an independentunknown In order to simplify theMIM therefore amodifiedscheme is proposed as

1205962

119896minus1

(11990910158401015840

119896

+ 119909119896

) = 1205962

119896minus1

119909119896minus1

minus 119891 (119909119896minus1

120596119896minus2

1199091015840

119896minus1

)

119896 = 1 2

(6)

As 119896 = 1 we choose 120596minus1

= 1205960

In the 119896th iteration 120596119896minus2

is agiven constant that is obtained at the (119896 minus 1)th iteration Thesquare of the unknown frequency that is1205962

119896minus1

can be treatedas an independent parameter because 120596

119896minus1

appears only in1205962

119896minus1

119909119896minus1

According to the initial conditions the startingiteration solution can be chosen as

1199090

(120591) = 1205720

cos 120591 (7)

It is obvious that as long as the series 120596119896

119896 = 1 2 and119909119896

119896 = 1 2 are convergent they must converge to theexact solutions The right-hand side of (6) can be expressedby Fourier series as

1205962

119896minus1

119909119896minus1

minus 119891 (119909119896minus1

120596119896minus2

1199091015840

119896minus1

)

=

120593(119896)

sum

119894=1

[119888119896minus1119894

(1205962

119896minus1

120572119896minus1

) cos (119894120591)

+ 119904119896minus1119894

(1205962

119896minus1

120572119896minus1

) sin (119894120591)]

(8)

where the harmonic coefficients 119888119896minus1119894

(1205962

119896minus1

120572119896minus1

) and119904119896minus1119894

(1205962

119896minus1

120572119896minus1

) are functions in 1205962119896minus1

and 120572119896minus1

Here 120593(119896) isa positive integer denoting the order of the highest harmonicApproximations120596

119896minus1

and 120572119896minus1

are determined by eliminatingthe secular terms that is letting

119888119896minus11

(1205962

119896minus1

120572119896minus1

) = 0 119904119896minus11

(1205962

119896minus1

120572119896minus1

) = 0

119896 = 1 2

(9)

These equations can be solved analytically if 1205962119896minus1

120572119896minus1

isconsidered as an independent unknown They can also benumerically solved by Newton-Raphson method The latteris employed in this study

Different from the existing procedures [16] as 119896 increases1205962

119896minus1

is always an independent unknown in the modifiedMIM Moreover unknown 120596

119896minus1

does not couple with non-linear terms It simplifies the MIM to a large extent as shownlater

3 Numerical Examples

Example 1 (system with nonlinear damping terms) Thevan der Pol equation is chosen to illustrate the previousprocedures more clearly

119909 +119909 + 120576 (1199092

minus 1) = 0 (10)

where 120576 is a given constant As known (10) has a stable LCsolution when 120576 gt 0 while an unstable one when 120576 lt 0

According to themodifiedMIM the corresponding itera-tion scheme is given as

119909119896

+ 1205962

119896minus1

119909119896

= 1205962

119896minus1

119909119896minus1

minus 119909119896minus1

minus 120576 (1199092

119896minus1

minus 1) 119896

119896 = 1 2

(11)

Introducing a new time variable 120591 = 120596119896minus1

119905 at each iterationstage we rewrite (11) as

1205962

119896minus1

(11990910158401015840

119896

+ 119909119896

) = 1205962

119896minus1

119909119896minus1

minus 119909119896minus1

minus 120576120596119896minus1

(1199092

119896minus1

minus 1) 1199091015840

119896minus1

(12)

where the superscript denotes the derivative with respect to120591 The iteration algorithm begins with an initial solution

1199090

(120591) = 1205720

cos 120591 (13)

Then we obtain the governing equations in 1199091

(120591) as

1205962

0

(11990910158401015840

1

+ 1199091

) = (1205962

0

1205720

minus 1205720

) cos 120591 minus (1205761205720

1205960

minus 120576

1205723

0

1205960

4

) sin 120591

+ 120576

1205723

0

1205960

4

sin 3120591 1199091

(0) = 1205721

1199091015840

1

(0) = 0

(14)

Equating the coefficients of cos 120591 and sin 120591 to zeros results into

1205962

0

1205720

minus 1205720

= 0 1205761205720

1205960

minus 120576

1205723

0

1205960

4

= 0 (15)

which yields that 1205960

= 1 and 1205720

= 2 Substituting them into(16) we have

11990910158401015840

1

+ 1199091

= 2120576 sin 3120591 (16)

Considering initial conditions (14) we can obtain

1199091

= 1205721

cos 120591 + 3120576 sin 1205914

minus

120576 sin 31205914

(17)

where 1205721

is to be determined at the next iteration stage

Mathematical Problems in Engineering 3

Table 1 Comparison of the second-order frequency obtained by IS and LP method with the forth-order approximation obtained by LPmethod when 120576 = 1

120576 120596IS2

120596LP2

120596LP4

|120596IS2

minus 120596LP4

| |120596LP2

minus 120596LP4

|

1 0944799584 093750000 0943033854 176119864 minus 3 553119864 minus 3

05 0984820946 098437500 0984720866 100119864 minus 4 346119864 minus 4

025 0996121460 099609375 0996115367 609119864 minus 6 216119864 minus 5

According to iterative scheme (11) the equation in 1199092

(120591)

is deduced as

1205962

1

(11990910158401015840

2

+ 1199092

) =

9

sum

119894=1

[1198881119894

(1205962

1

1205721

) cos (1198941205961

119905)

+1199041119894

(1205962

1

1205721

) sin (1198941205961

119905)]

(18)

Equate the coefficients of cos 120591 and sin 120591 to zeros

31205962

1

4

minus

151205721

64

minus

1205723

1

4

minus

3

4

= 0

1205721

1205962

1

minus 1205721

minus

1205723

1

8

+

75

128

= 0

(19)

By solving (19) numerically we can determine 1205721

and 12059621

Here we obtain the second-order approximation and expandit as

120596IS2

= 1 minus

1205762

16

+

291205764

2048

+ 119900 (1205764

) (20)

According to [17] the Lindstedt-Poincare (LP) method pro-vides the second- and forth-order approximate frequency120596LP2

= 1minus1205762

16 and120596LP4

= 1minus1205762

16+171205764

3072 respectivelyThe attained approximation agrees well with the 4th-order LPsolution Table 1 indicates that 120596IS

2

is more accurate than 120596LP2

when compared with 120596LP4

Figure 1 shows the comparison of the phase planesbetween iteration solutions (119909

119896

) and numerical result Rapidconvergence of 119909

119896

to the numerical result can be observedNote that all numerical solutions are obtained by the fourth-order Runge-Kutta (RK) integration method When |120576| gt 1the iteration procedure presented by Chen and Liu [16] doesnot converge This is probably the difference between thestarting function (119909

0

= 1205720

cos 119905) and the exact solution istoo large The modified MIM is still effective for |120576| le 15 AsFigure 2 shows the LC solution with 120576 = 15 obtained by thepresented method is in excellent agreement with numericalone It is necessary to point out that the presented method isable to track unstable LCs whereas the RK method is not

Also plotted in Figure 2 are the results provided by the LPmethod [17]The iteration results aremuchmore precise thanthe 2nd and 4th-order LP approximations

It is necessary to point out that the presented method isable to track unstable LCs whereas the RK method is notFigure 3 shows an unstable LC of the van der Pol equationwith 120576 = minus1 obtained by the presentedmethod As shown theRK begins at the LC however the solution curve convergesto the equilibrium

IS2IS4

IS6RK

Velo

city

3

2

1

0

minus1

minus2

minus3

Displacementminus2 minus15 minus1 minus05 0 05 1 15 2

Figure 1The LC solutions of system (10) with 120576 = 1 obtained by themodifiedMIM and RKmethod respectivelyThe 119896th-order solution(119909119896

) is represented by IS119896

In order to further demonstrate the merit of the modifiedMIM when applied to problems with nonlinear dampingterms we consider the following self-excited system [18]

119909 +119909 + 120576 [()2

minus 1] + 119891 () = 0 (21)

The nonlinear term contains high powers of that is 119891() =()3 If the originalMIM is employed the algebraic equations

governing 120596 will become very complicated Therefore itis necessary to employ the modified approach Figure 4indicates that the approximations obtained by the presentedmethod converge rapidly to the numerical solution as 119896increased

Example 2 (systemwith nonsmooth nonlinearity) Themod-ified MVIM is further applied to nonsmooth dynamicalsystem expressed as

119909 +119891 (119909 ) + 120578119892 (119909) = 0 (22)

Here 119891(119909 ) is a nonlinear damping term and 119892(119909) is anonsmooth function If substituting the 119909

119896minus1

into 119892(119909) onaccount of119909

119896minus1

contained unknown quantities (120572119896minus1

) so119892(119909)can not be expanded as Fourier progression by numericalintegration To this end (9) cannot be deduced by eliminating

4 Mathematical Problems in EngineeringVe

loci

ty

3

2

1

0

minus1

minus2

minus3

Displacementminus25 minus2 minus15 minus1 minus05 0 05 1 15 2 25

RKIS

LP2LP4

Figure 2 The LC solutions of system (10) with 120576 = 15 obtained bythe modified MIM RK method and LP method respectively Theiteration solution is denoted as IS and the 119896th-order LP approxi-mation as LP119896

Velo

city

3

2

1

0

minus1

minus2

minus3

Displacementminus25 minus2 minus15 minus1 minus05 0 05 1 15 2 25

ISRK

Figure 3 Comparison of the LC solution of system (10) with 120576 = minus1provided by the modified MIM and by RK method respectively

the secular terms Likewise we present the following iterationscheme

1205962

119896minus1

(119896

+ 119909119896

) = 1205962

119896minus1

119909119896minus1

+ 119891 (119909119896minus1

120596119896minus2

119896minus1

) + 120578119892 (119909119896minus2

)

(23)

In this scheme 119892(119909119896minus2

) can be expanded as a Fourier seriessince 120572

119896minus2

has been determined at the previous iterationLet us consider a van der Pol type oscillator with a non-

smooth function as

+ 119909 + 120576 (1 minus 1199092

) + 120578119892 (119909) = 0 (24)

Velo

city

minus15

minus1

minus05

0

05

1

15

Displacementminus15 minus1 minus05 0 05 1 15

RKISk = 3

ISk = 5

Figure 4The LC solutions of system (21) with 120576 = 1 obtained by themodifiedMIM and RKmethod respectivelyThe 119896th-order solution(119909119896

) is represented by IS119896D

ispla

cem

ent

2

15

1

05

0

minus05

minus1

minus15

minus2

Velocityminus3 minus2 minus1 0 1 2 3

R-KPresent method

Figure 5 LC solutions of system (24) with (25) (120576 = 1 120578 = 05)provided by the modified MIM and by RK method respectively

with

119892 (119909) =

119909 minus 1 119909 ge 1

0 minus1 lt 119909 lt 1

119909 + 1 119909 le minus1

(25)

Figure 5 shows the LC of system (14) with 120576 = 1 and 120578 =05 The 5th-order approximations obtained by the presented

Mathematical Problems in Engineering 5D

ispla

cem

ent

25

2

15

1

05

0

minus05

minus1

minus15

minus2

minus25

Velocityminus3 minus2 minus1 0 1 2 3

R-KPresent method

Figure 6 LC solutions of system (24) with (26) (120576 = 1 120578 = 05)provided by the modified MIM and by RK method respectively

method agree well with the numerical solution when thenonsmooth term is given as

119892 (119909) = sgn (119909) =

1 119909 gt 0

0 119909 = 0

minus1 119909 lt 0

(26)

The LC can also be obtained very accurate as Figure 6 shows

4 Conclusions

The Mickens iteration method (MIM) has been modifiedso that it is suitable for solving LC solutions of self-excitedsystemswith nonsmooth andor damping nonlinearities Dif-ferent from the routinely-used MIM the modified methoddecouples the unknown frequency from nonlinear termsThis modification simplifies the MIM significantly Numeri-cal examples show the feasibility and validity of the presentedmethod which implies that it could be applicable to morenonlinear dynamical systems especially those with nonlineardamping terms and nonsmooth nonlinearities

Acknowledgment

This work is supported by the National Natural ScienceFoundation of China (11002088 11272361 11172333) Doc-toral Program Foundation of Ministry of Education ofChina (20130171110039) Guangdong Province Natural Sci-ence Foundation (S2012040007920 S2013010013802) Fun-damental Research Funds for the Central Universities(13lgzd06) and the Guangdong Province Science and Tech-nology Program (2012A030200011)

References

[1] R E Mickens ldquoIteration procedure for determining approx-imate solutions to nonlinear oscillator equationsrdquo Journal ofSound and Vibration vol 116 no 1 pp 185ndash187 1987

[2] R E Mickens ldquoHarmonic balance and iteration calculationsof periodic solutions to 119910

10158401015840

+ 119910minus1

= 0rdquo Journal of Sound andVibration vol 306 no 3ndash5 pp 968ndash972 2007

[3] R EMickens ldquoA generalized iteration procedure for calculatingapproximations to periodic solutions of ldquotruly nonlinear oscilla-torsrdquordquo Journal of Sound andVibration vol 287 no 4-5 pp 1045ndash1051 2005

[4] S Bhattacharjee and J K Bhattacharjee ldquoLindstedt Poincaretechnique applied to molecular potentialsrdquo Journal of Mathe-matical Chemistry vol 50 no 6 pp 1398ndash1410 2012

[5] H Hu and J H Tang ldquoA classical iteration procedure validfor certain strongly nonlinear oscillatorsrdquo Journal of Sound andVibration vol 299 no 1-2 pp 397ndash402 2007

[6] J I Ramos ldquoOn Linstedt-Poincare technique for the quinticDuffing equationrdquo Applied Mathematics and Computation vol193 no 2 pp 303ndash310 2007

[7] F K Yin J Q Song and X Q Cao ldquoCouple of the variationaliteration method and Legendre wavelets for nonlinear partialdifferential equationsrdquo Journal of Applied Mathematics vol2013 Article ID 157956 11 pages 2013

[8] M T Atay and O Kilic ldquoThe semianalytical solutions for stiffsystems of ordinary differential equations by using variationaliteration method and modified variational iteration methodwith comparison to exact solutionsrdquoMathematical Problems inEngineering vol 2013 Article ID 143915 11 pages 2013

[9] A-J Chen ldquoResonance analysis for tilted support spring cou-pled nonlinear packaging system applying variational iterationmethodrdquo Mathematical Problems in Engineering vol 2013Article ID 384251 4 pages 2013

[10] V Marinca N Herisanu and C Bota ldquoApplication of the vari-ational iteration method to some nonlinear one-dimensionaloscillationsrdquoMeccanica vol 43 no 1 pp 75ndash79 2008

[11] C W Lim and B S Wu ldquoA modified Mickens procedure forcertain non-linear oscillatorsrdquo Journal of Sound and Vibrationvol 257 no 1 pp 202ndash206 2002

[12] VMarinca andN Herisanu ldquoAmodified iteration perturbationmethod for somenonlinear oscillation problemsrdquoActaMechan-ica vol 184 no 1ndash4 pp 231ndash242 2006

[13] H Hu ldquoSolutions of the Duffing-harmonic oscillator by aniteration procedurerdquo Journal of Sound and Vibration vol 298no 1-2 pp 446ndash452 2006

[14] Y M Chen G Meng and J K Liu ldquoA new method for Fourierseries expansions applications in rotor-seal systemsrdquoMechanicsResearch Communications vol 38 no 5 pp 399ndash403 2011

[15] T Pirbodaghi M T Ahmadian and M Fesanghary ldquoOn thehomotopy analysis method for non-linear vibration of beamsrdquoMechanics Research Communications vol 36 no 2 pp 143ndash1482009

[16] Y M Chen and J K Liu ldquoA modified Mickens iterationprocedure for nonlinear oscillatorsrdquo Journal of Sound andVibration vol 314 no 3ndash5 pp 465ndash473 2008

[17] A H Nayfeh Introduction to Perturbation Techniques Wiley-Interscience New York NY USA 1993

[18] W J Ding Self-Excited Vibration Tsinghua University PressBeijing China 2009

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Page 2: Research Article An Iteration Scheme Suitable for Solving ...downloads.hindawi.com/journals/mpe/2013/582865.pdfISk=3 RK ISk=5 F : eLCsolutionsofsystem( )with =1 obtainedbythe modi

2 Mathematical Problems in Engineering

terms at each iteration stage In order to obtain the LC theMIM [16] can be given as

1205962

119896minus1

(11990910158401015840

119896

+ 119909119896

) = 1205962

119896minus1

119909119896minus1

minus 119891 (119909119896minus1

120596119896minus1

1199091015840

119896minus1

)

119896 = 1 2

(4)

with the initial conditions being rewritten at each iteration as

119909119896

(0) = 120572119896

1199091015840

119896

(0) = 0 (5)

Note that the coefficient of the first harmonic in 119909119896minus1

remainsstill to be an unknown that is120572

119896minus1

This unknownwill couplewith the unknown frequency120596

119896minus1

which will result in a cou-pled nonlinear term (ie 120596

119896minus1

1199091015840

119896minus1

) in the right side of (4) Ifhigher powers of1199091015840 exist these termswill lead to very compli-cated functions in 120596

119896minus1

and 120572119896minus1

Different from conservativesystems 1205962

119896minus1

can no longer be considered as an independentunknown In order to simplify theMIM therefore amodifiedscheme is proposed as

1205962

119896minus1

(11990910158401015840

119896

+ 119909119896

) = 1205962

119896minus1

119909119896minus1

minus 119891 (119909119896minus1

120596119896minus2

1199091015840

119896minus1

)

119896 = 1 2

(6)

As 119896 = 1 we choose 120596minus1

= 1205960

In the 119896th iteration 120596119896minus2

is agiven constant that is obtained at the (119896 minus 1)th iteration Thesquare of the unknown frequency that is1205962

119896minus1

can be treatedas an independent parameter because 120596

119896minus1

appears only in1205962

119896minus1

119909119896minus1

According to the initial conditions the startingiteration solution can be chosen as

1199090

(120591) = 1205720

cos 120591 (7)

It is obvious that as long as the series 120596119896

119896 = 1 2 and119909119896

119896 = 1 2 are convergent they must converge to theexact solutions The right-hand side of (6) can be expressedby Fourier series as

1205962

119896minus1

119909119896minus1

minus 119891 (119909119896minus1

120596119896minus2

1199091015840

119896minus1

)

=

120593(119896)

sum

119894=1

[119888119896minus1119894

(1205962

119896minus1

120572119896minus1

) cos (119894120591)

+ 119904119896minus1119894

(1205962

119896minus1

120572119896minus1

) sin (119894120591)]

(8)

where the harmonic coefficients 119888119896minus1119894

(1205962

119896minus1

120572119896minus1

) and119904119896minus1119894

(1205962

119896minus1

120572119896minus1

) are functions in 1205962119896minus1

and 120572119896minus1

Here 120593(119896) isa positive integer denoting the order of the highest harmonicApproximations120596

119896minus1

and 120572119896minus1

are determined by eliminatingthe secular terms that is letting

119888119896minus11

(1205962

119896minus1

120572119896minus1

) = 0 119904119896minus11

(1205962

119896minus1

120572119896minus1

) = 0

119896 = 1 2

(9)

These equations can be solved analytically if 1205962119896minus1

120572119896minus1

isconsidered as an independent unknown They can also benumerically solved by Newton-Raphson method The latteris employed in this study

Different from the existing procedures [16] as 119896 increases1205962

119896minus1

is always an independent unknown in the modifiedMIM Moreover unknown 120596

119896minus1

does not couple with non-linear terms It simplifies the MIM to a large extent as shownlater

3 Numerical Examples

Example 1 (system with nonlinear damping terms) Thevan der Pol equation is chosen to illustrate the previousprocedures more clearly

119909 +119909 + 120576 (1199092

minus 1) = 0 (10)

where 120576 is a given constant As known (10) has a stable LCsolution when 120576 gt 0 while an unstable one when 120576 lt 0

According to themodifiedMIM the corresponding itera-tion scheme is given as

119909119896

+ 1205962

119896minus1

119909119896

= 1205962

119896minus1

119909119896minus1

minus 119909119896minus1

minus 120576 (1199092

119896minus1

minus 1) 119896

119896 = 1 2

(11)

Introducing a new time variable 120591 = 120596119896minus1

119905 at each iterationstage we rewrite (11) as

1205962

119896minus1

(11990910158401015840

119896

+ 119909119896

) = 1205962

119896minus1

119909119896minus1

minus 119909119896minus1

minus 120576120596119896minus1

(1199092

119896minus1

minus 1) 1199091015840

119896minus1

(12)

where the superscript denotes the derivative with respect to120591 The iteration algorithm begins with an initial solution

1199090

(120591) = 1205720

cos 120591 (13)

Then we obtain the governing equations in 1199091

(120591) as

1205962

0

(11990910158401015840

1

+ 1199091

) = (1205962

0

1205720

minus 1205720

) cos 120591 minus (1205761205720

1205960

minus 120576

1205723

0

1205960

4

) sin 120591

+ 120576

1205723

0

1205960

4

sin 3120591 1199091

(0) = 1205721

1199091015840

1

(0) = 0

(14)

Equating the coefficients of cos 120591 and sin 120591 to zeros results into

1205962

0

1205720

minus 1205720

= 0 1205761205720

1205960

minus 120576

1205723

0

1205960

4

= 0 (15)

which yields that 1205960

= 1 and 1205720

= 2 Substituting them into(16) we have

11990910158401015840

1

+ 1199091

= 2120576 sin 3120591 (16)

Considering initial conditions (14) we can obtain

1199091

= 1205721

cos 120591 + 3120576 sin 1205914

minus

120576 sin 31205914

(17)

where 1205721

is to be determined at the next iteration stage

Mathematical Problems in Engineering 3

Table 1 Comparison of the second-order frequency obtained by IS and LP method with the forth-order approximation obtained by LPmethod when 120576 = 1

120576 120596IS2

120596LP2

120596LP4

|120596IS2

minus 120596LP4

| |120596LP2

minus 120596LP4

|

1 0944799584 093750000 0943033854 176119864 minus 3 553119864 minus 3

05 0984820946 098437500 0984720866 100119864 minus 4 346119864 minus 4

025 0996121460 099609375 0996115367 609119864 minus 6 216119864 minus 5

According to iterative scheme (11) the equation in 1199092

(120591)

is deduced as

1205962

1

(11990910158401015840

2

+ 1199092

) =

9

sum

119894=1

[1198881119894

(1205962

1

1205721

) cos (1198941205961

119905)

+1199041119894

(1205962

1

1205721

) sin (1198941205961

119905)]

(18)

Equate the coefficients of cos 120591 and sin 120591 to zeros

31205962

1

4

minus

151205721

64

minus

1205723

1

4

minus

3

4

= 0

1205721

1205962

1

minus 1205721

minus

1205723

1

8

+

75

128

= 0

(19)

By solving (19) numerically we can determine 1205721

and 12059621

Here we obtain the second-order approximation and expandit as

120596IS2

= 1 minus

1205762

16

+

291205764

2048

+ 119900 (1205764

) (20)

According to [17] the Lindstedt-Poincare (LP) method pro-vides the second- and forth-order approximate frequency120596LP2

= 1minus1205762

16 and120596LP4

= 1minus1205762

16+171205764

3072 respectivelyThe attained approximation agrees well with the 4th-order LPsolution Table 1 indicates that 120596IS

2

is more accurate than 120596LP2

when compared with 120596LP4

Figure 1 shows the comparison of the phase planesbetween iteration solutions (119909

119896

) and numerical result Rapidconvergence of 119909

119896

to the numerical result can be observedNote that all numerical solutions are obtained by the fourth-order Runge-Kutta (RK) integration method When |120576| gt 1the iteration procedure presented by Chen and Liu [16] doesnot converge This is probably the difference between thestarting function (119909

0

= 1205720

cos 119905) and the exact solution istoo large The modified MIM is still effective for |120576| le 15 AsFigure 2 shows the LC solution with 120576 = 15 obtained by thepresented method is in excellent agreement with numericalone It is necessary to point out that the presented method isable to track unstable LCs whereas the RK method is not

Also plotted in Figure 2 are the results provided by the LPmethod [17]The iteration results aremuchmore precise thanthe 2nd and 4th-order LP approximations

It is necessary to point out that the presented method isable to track unstable LCs whereas the RK method is notFigure 3 shows an unstable LC of the van der Pol equationwith 120576 = minus1 obtained by the presentedmethod As shown theRK begins at the LC however the solution curve convergesto the equilibrium

IS2IS4

IS6RK

Velo

city

3

2

1

0

minus1

minus2

minus3

Displacementminus2 minus15 minus1 minus05 0 05 1 15 2

Figure 1The LC solutions of system (10) with 120576 = 1 obtained by themodifiedMIM and RKmethod respectivelyThe 119896th-order solution(119909119896

) is represented by IS119896

In order to further demonstrate the merit of the modifiedMIM when applied to problems with nonlinear dampingterms we consider the following self-excited system [18]

119909 +119909 + 120576 [()2

minus 1] + 119891 () = 0 (21)

The nonlinear term contains high powers of that is 119891() =()3 If the originalMIM is employed the algebraic equations

governing 120596 will become very complicated Therefore itis necessary to employ the modified approach Figure 4indicates that the approximations obtained by the presentedmethod converge rapidly to the numerical solution as 119896increased

Example 2 (systemwith nonsmooth nonlinearity) Themod-ified MVIM is further applied to nonsmooth dynamicalsystem expressed as

119909 +119891 (119909 ) + 120578119892 (119909) = 0 (22)

Here 119891(119909 ) is a nonlinear damping term and 119892(119909) is anonsmooth function If substituting the 119909

119896minus1

into 119892(119909) onaccount of119909

119896minus1

contained unknown quantities (120572119896minus1

) so119892(119909)can not be expanded as Fourier progression by numericalintegration To this end (9) cannot be deduced by eliminating

4 Mathematical Problems in EngineeringVe

loci

ty

3

2

1

0

minus1

minus2

minus3

Displacementminus25 minus2 minus15 minus1 minus05 0 05 1 15 2 25

RKIS

LP2LP4

Figure 2 The LC solutions of system (10) with 120576 = 15 obtained bythe modified MIM RK method and LP method respectively Theiteration solution is denoted as IS and the 119896th-order LP approxi-mation as LP119896

Velo

city

3

2

1

0

minus1

minus2

minus3

Displacementminus25 minus2 minus15 minus1 minus05 0 05 1 15 2 25

ISRK

Figure 3 Comparison of the LC solution of system (10) with 120576 = minus1provided by the modified MIM and by RK method respectively

the secular terms Likewise we present the following iterationscheme

1205962

119896minus1

(119896

+ 119909119896

) = 1205962

119896minus1

119909119896minus1

+ 119891 (119909119896minus1

120596119896minus2

119896minus1

) + 120578119892 (119909119896minus2

)

(23)

In this scheme 119892(119909119896minus2

) can be expanded as a Fourier seriessince 120572

119896minus2

has been determined at the previous iterationLet us consider a van der Pol type oscillator with a non-

smooth function as

+ 119909 + 120576 (1 minus 1199092

) + 120578119892 (119909) = 0 (24)

Velo

city

minus15

minus1

minus05

0

05

1

15

Displacementminus15 minus1 minus05 0 05 1 15

RKISk = 3

ISk = 5

Figure 4The LC solutions of system (21) with 120576 = 1 obtained by themodifiedMIM and RKmethod respectivelyThe 119896th-order solution(119909119896

) is represented by IS119896D

ispla

cem

ent

2

15

1

05

0

minus05

minus1

minus15

minus2

Velocityminus3 minus2 minus1 0 1 2 3

R-KPresent method

Figure 5 LC solutions of system (24) with (25) (120576 = 1 120578 = 05)provided by the modified MIM and by RK method respectively

with

119892 (119909) =

119909 minus 1 119909 ge 1

0 minus1 lt 119909 lt 1

119909 + 1 119909 le minus1

(25)

Figure 5 shows the LC of system (14) with 120576 = 1 and 120578 =05 The 5th-order approximations obtained by the presented

Mathematical Problems in Engineering 5D

ispla

cem

ent

25

2

15

1

05

0

minus05

minus1

minus15

minus2

minus25

Velocityminus3 minus2 minus1 0 1 2 3

R-KPresent method

Figure 6 LC solutions of system (24) with (26) (120576 = 1 120578 = 05)provided by the modified MIM and by RK method respectively

method agree well with the numerical solution when thenonsmooth term is given as

119892 (119909) = sgn (119909) =

1 119909 gt 0

0 119909 = 0

minus1 119909 lt 0

(26)

The LC can also be obtained very accurate as Figure 6 shows

4 Conclusions

The Mickens iteration method (MIM) has been modifiedso that it is suitable for solving LC solutions of self-excitedsystemswith nonsmooth andor damping nonlinearities Dif-ferent from the routinely-used MIM the modified methoddecouples the unknown frequency from nonlinear termsThis modification simplifies the MIM significantly Numeri-cal examples show the feasibility and validity of the presentedmethod which implies that it could be applicable to morenonlinear dynamical systems especially those with nonlineardamping terms and nonsmooth nonlinearities

Acknowledgment

This work is supported by the National Natural ScienceFoundation of China (11002088 11272361 11172333) Doc-toral Program Foundation of Ministry of Education ofChina (20130171110039) Guangdong Province Natural Sci-ence Foundation (S2012040007920 S2013010013802) Fun-damental Research Funds for the Central Universities(13lgzd06) and the Guangdong Province Science and Tech-nology Program (2012A030200011)

References

[1] R E Mickens ldquoIteration procedure for determining approx-imate solutions to nonlinear oscillator equationsrdquo Journal ofSound and Vibration vol 116 no 1 pp 185ndash187 1987

[2] R E Mickens ldquoHarmonic balance and iteration calculationsof periodic solutions to 119910

10158401015840

+ 119910minus1

= 0rdquo Journal of Sound andVibration vol 306 no 3ndash5 pp 968ndash972 2007

[3] R EMickens ldquoA generalized iteration procedure for calculatingapproximations to periodic solutions of ldquotruly nonlinear oscilla-torsrdquordquo Journal of Sound andVibration vol 287 no 4-5 pp 1045ndash1051 2005

[4] S Bhattacharjee and J K Bhattacharjee ldquoLindstedt Poincaretechnique applied to molecular potentialsrdquo Journal of Mathe-matical Chemistry vol 50 no 6 pp 1398ndash1410 2012

[5] H Hu and J H Tang ldquoA classical iteration procedure validfor certain strongly nonlinear oscillatorsrdquo Journal of Sound andVibration vol 299 no 1-2 pp 397ndash402 2007

[6] J I Ramos ldquoOn Linstedt-Poincare technique for the quinticDuffing equationrdquo Applied Mathematics and Computation vol193 no 2 pp 303ndash310 2007

[7] F K Yin J Q Song and X Q Cao ldquoCouple of the variationaliteration method and Legendre wavelets for nonlinear partialdifferential equationsrdquo Journal of Applied Mathematics vol2013 Article ID 157956 11 pages 2013

[8] M T Atay and O Kilic ldquoThe semianalytical solutions for stiffsystems of ordinary differential equations by using variationaliteration method and modified variational iteration methodwith comparison to exact solutionsrdquoMathematical Problems inEngineering vol 2013 Article ID 143915 11 pages 2013

[9] A-J Chen ldquoResonance analysis for tilted support spring cou-pled nonlinear packaging system applying variational iterationmethodrdquo Mathematical Problems in Engineering vol 2013Article ID 384251 4 pages 2013

[10] V Marinca N Herisanu and C Bota ldquoApplication of the vari-ational iteration method to some nonlinear one-dimensionaloscillationsrdquoMeccanica vol 43 no 1 pp 75ndash79 2008

[11] C W Lim and B S Wu ldquoA modified Mickens procedure forcertain non-linear oscillatorsrdquo Journal of Sound and Vibrationvol 257 no 1 pp 202ndash206 2002

[12] VMarinca andN Herisanu ldquoAmodified iteration perturbationmethod for somenonlinear oscillation problemsrdquoActaMechan-ica vol 184 no 1ndash4 pp 231ndash242 2006

[13] H Hu ldquoSolutions of the Duffing-harmonic oscillator by aniteration procedurerdquo Journal of Sound and Vibration vol 298no 1-2 pp 446ndash452 2006

[14] Y M Chen G Meng and J K Liu ldquoA new method for Fourierseries expansions applications in rotor-seal systemsrdquoMechanicsResearch Communications vol 38 no 5 pp 399ndash403 2011

[15] T Pirbodaghi M T Ahmadian and M Fesanghary ldquoOn thehomotopy analysis method for non-linear vibration of beamsrdquoMechanics Research Communications vol 36 no 2 pp 143ndash1482009

[16] Y M Chen and J K Liu ldquoA modified Mickens iterationprocedure for nonlinear oscillatorsrdquo Journal of Sound andVibration vol 314 no 3ndash5 pp 465ndash473 2008

[17] A H Nayfeh Introduction to Perturbation Techniques Wiley-Interscience New York NY USA 1993

[18] W J Ding Self-Excited Vibration Tsinghua University PressBeijing China 2009

Submit your manuscripts athttpwwwhindawicom

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Mathematical Problems in Engineering

Hindawi Publishing Corporationhttpwwwhindawicom

Differential EquationsInternational Journal of

Volume 2014

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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

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CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

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Function Spaces

Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of Mathematics and Mathematical Sciences

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The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Algebra

Discrete Dynamics in Nature and Society

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

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Decision SciencesAdvances in

Discrete MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom

Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Stochastic AnalysisInternational Journal of

Page 3: Research Article An Iteration Scheme Suitable for Solving ...downloads.hindawi.com/journals/mpe/2013/582865.pdfISk=3 RK ISk=5 F : eLCsolutionsofsystem( )with =1 obtainedbythe modi

Mathematical Problems in Engineering 3

Table 1 Comparison of the second-order frequency obtained by IS and LP method with the forth-order approximation obtained by LPmethod when 120576 = 1

120576 120596IS2

120596LP2

120596LP4

|120596IS2

minus 120596LP4

| |120596LP2

minus 120596LP4

|

1 0944799584 093750000 0943033854 176119864 minus 3 553119864 minus 3

05 0984820946 098437500 0984720866 100119864 minus 4 346119864 minus 4

025 0996121460 099609375 0996115367 609119864 minus 6 216119864 minus 5

According to iterative scheme (11) the equation in 1199092

(120591)

is deduced as

1205962

1

(11990910158401015840

2

+ 1199092

) =

9

sum

119894=1

[1198881119894

(1205962

1

1205721

) cos (1198941205961

119905)

+1199041119894

(1205962

1

1205721

) sin (1198941205961

119905)]

(18)

Equate the coefficients of cos 120591 and sin 120591 to zeros

31205962

1

4

minus

151205721

64

minus

1205723

1

4

minus

3

4

= 0

1205721

1205962

1

minus 1205721

minus

1205723

1

8

+

75

128

= 0

(19)

By solving (19) numerically we can determine 1205721

and 12059621

Here we obtain the second-order approximation and expandit as

120596IS2

= 1 minus

1205762

16

+

291205764

2048

+ 119900 (1205764

) (20)

According to [17] the Lindstedt-Poincare (LP) method pro-vides the second- and forth-order approximate frequency120596LP2

= 1minus1205762

16 and120596LP4

= 1minus1205762

16+171205764

3072 respectivelyThe attained approximation agrees well with the 4th-order LPsolution Table 1 indicates that 120596IS

2

is more accurate than 120596LP2

when compared with 120596LP4

Figure 1 shows the comparison of the phase planesbetween iteration solutions (119909

119896

) and numerical result Rapidconvergence of 119909

119896

to the numerical result can be observedNote that all numerical solutions are obtained by the fourth-order Runge-Kutta (RK) integration method When |120576| gt 1the iteration procedure presented by Chen and Liu [16] doesnot converge This is probably the difference between thestarting function (119909

0

= 1205720

cos 119905) and the exact solution istoo large The modified MIM is still effective for |120576| le 15 AsFigure 2 shows the LC solution with 120576 = 15 obtained by thepresented method is in excellent agreement with numericalone It is necessary to point out that the presented method isable to track unstable LCs whereas the RK method is not

Also plotted in Figure 2 are the results provided by the LPmethod [17]The iteration results aremuchmore precise thanthe 2nd and 4th-order LP approximations

It is necessary to point out that the presented method isable to track unstable LCs whereas the RK method is notFigure 3 shows an unstable LC of the van der Pol equationwith 120576 = minus1 obtained by the presentedmethod As shown theRK begins at the LC however the solution curve convergesto the equilibrium

IS2IS4

IS6RK

Velo

city

3

2

1

0

minus1

minus2

minus3

Displacementminus2 minus15 minus1 minus05 0 05 1 15 2

Figure 1The LC solutions of system (10) with 120576 = 1 obtained by themodifiedMIM and RKmethod respectivelyThe 119896th-order solution(119909119896

) is represented by IS119896

In order to further demonstrate the merit of the modifiedMIM when applied to problems with nonlinear dampingterms we consider the following self-excited system [18]

119909 +119909 + 120576 [()2

minus 1] + 119891 () = 0 (21)

The nonlinear term contains high powers of that is 119891() =()3 If the originalMIM is employed the algebraic equations

governing 120596 will become very complicated Therefore itis necessary to employ the modified approach Figure 4indicates that the approximations obtained by the presentedmethod converge rapidly to the numerical solution as 119896increased

Example 2 (systemwith nonsmooth nonlinearity) Themod-ified MVIM is further applied to nonsmooth dynamicalsystem expressed as

119909 +119891 (119909 ) + 120578119892 (119909) = 0 (22)

Here 119891(119909 ) is a nonlinear damping term and 119892(119909) is anonsmooth function If substituting the 119909

119896minus1

into 119892(119909) onaccount of119909

119896minus1

contained unknown quantities (120572119896minus1

) so119892(119909)can not be expanded as Fourier progression by numericalintegration To this end (9) cannot be deduced by eliminating

4 Mathematical Problems in EngineeringVe

loci

ty

3

2

1

0

minus1

minus2

minus3

Displacementminus25 minus2 minus15 minus1 minus05 0 05 1 15 2 25

RKIS

LP2LP4

Figure 2 The LC solutions of system (10) with 120576 = 15 obtained bythe modified MIM RK method and LP method respectively Theiteration solution is denoted as IS and the 119896th-order LP approxi-mation as LP119896

Velo

city

3

2

1

0

minus1

minus2

minus3

Displacementminus25 minus2 minus15 minus1 minus05 0 05 1 15 2 25

ISRK

Figure 3 Comparison of the LC solution of system (10) with 120576 = minus1provided by the modified MIM and by RK method respectively

the secular terms Likewise we present the following iterationscheme

1205962

119896minus1

(119896

+ 119909119896

) = 1205962

119896minus1

119909119896minus1

+ 119891 (119909119896minus1

120596119896minus2

119896minus1

) + 120578119892 (119909119896minus2

)

(23)

In this scheme 119892(119909119896minus2

) can be expanded as a Fourier seriessince 120572

119896minus2

has been determined at the previous iterationLet us consider a van der Pol type oscillator with a non-

smooth function as

+ 119909 + 120576 (1 minus 1199092

) + 120578119892 (119909) = 0 (24)

Velo

city

minus15

minus1

minus05

0

05

1

15

Displacementminus15 minus1 minus05 0 05 1 15

RKISk = 3

ISk = 5

Figure 4The LC solutions of system (21) with 120576 = 1 obtained by themodifiedMIM and RKmethod respectivelyThe 119896th-order solution(119909119896

) is represented by IS119896D

ispla

cem

ent

2

15

1

05

0

minus05

minus1

minus15

minus2

Velocityminus3 minus2 minus1 0 1 2 3

R-KPresent method

Figure 5 LC solutions of system (24) with (25) (120576 = 1 120578 = 05)provided by the modified MIM and by RK method respectively

with

119892 (119909) =

119909 minus 1 119909 ge 1

0 minus1 lt 119909 lt 1

119909 + 1 119909 le minus1

(25)

Figure 5 shows the LC of system (14) with 120576 = 1 and 120578 =05 The 5th-order approximations obtained by the presented

Mathematical Problems in Engineering 5D

ispla

cem

ent

25

2

15

1

05

0

minus05

minus1

minus15

minus2

minus25

Velocityminus3 minus2 minus1 0 1 2 3

R-KPresent method

Figure 6 LC solutions of system (24) with (26) (120576 = 1 120578 = 05)provided by the modified MIM and by RK method respectively

method agree well with the numerical solution when thenonsmooth term is given as

119892 (119909) = sgn (119909) =

1 119909 gt 0

0 119909 = 0

minus1 119909 lt 0

(26)

The LC can also be obtained very accurate as Figure 6 shows

4 Conclusions

The Mickens iteration method (MIM) has been modifiedso that it is suitable for solving LC solutions of self-excitedsystemswith nonsmooth andor damping nonlinearities Dif-ferent from the routinely-used MIM the modified methoddecouples the unknown frequency from nonlinear termsThis modification simplifies the MIM significantly Numeri-cal examples show the feasibility and validity of the presentedmethod which implies that it could be applicable to morenonlinear dynamical systems especially those with nonlineardamping terms and nonsmooth nonlinearities

Acknowledgment

This work is supported by the National Natural ScienceFoundation of China (11002088 11272361 11172333) Doc-toral Program Foundation of Ministry of Education ofChina (20130171110039) Guangdong Province Natural Sci-ence Foundation (S2012040007920 S2013010013802) Fun-damental Research Funds for the Central Universities(13lgzd06) and the Guangdong Province Science and Tech-nology Program (2012A030200011)

References

[1] R E Mickens ldquoIteration procedure for determining approx-imate solutions to nonlinear oscillator equationsrdquo Journal ofSound and Vibration vol 116 no 1 pp 185ndash187 1987

[2] R E Mickens ldquoHarmonic balance and iteration calculationsof periodic solutions to 119910

10158401015840

+ 119910minus1

= 0rdquo Journal of Sound andVibration vol 306 no 3ndash5 pp 968ndash972 2007

[3] R EMickens ldquoA generalized iteration procedure for calculatingapproximations to periodic solutions of ldquotruly nonlinear oscilla-torsrdquordquo Journal of Sound andVibration vol 287 no 4-5 pp 1045ndash1051 2005

[4] S Bhattacharjee and J K Bhattacharjee ldquoLindstedt Poincaretechnique applied to molecular potentialsrdquo Journal of Mathe-matical Chemistry vol 50 no 6 pp 1398ndash1410 2012

[5] H Hu and J H Tang ldquoA classical iteration procedure validfor certain strongly nonlinear oscillatorsrdquo Journal of Sound andVibration vol 299 no 1-2 pp 397ndash402 2007

[6] J I Ramos ldquoOn Linstedt-Poincare technique for the quinticDuffing equationrdquo Applied Mathematics and Computation vol193 no 2 pp 303ndash310 2007

[7] F K Yin J Q Song and X Q Cao ldquoCouple of the variationaliteration method and Legendre wavelets for nonlinear partialdifferential equationsrdquo Journal of Applied Mathematics vol2013 Article ID 157956 11 pages 2013

[8] M T Atay and O Kilic ldquoThe semianalytical solutions for stiffsystems of ordinary differential equations by using variationaliteration method and modified variational iteration methodwith comparison to exact solutionsrdquoMathematical Problems inEngineering vol 2013 Article ID 143915 11 pages 2013

[9] A-J Chen ldquoResonance analysis for tilted support spring cou-pled nonlinear packaging system applying variational iterationmethodrdquo Mathematical Problems in Engineering vol 2013Article ID 384251 4 pages 2013

[10] V Marinca N Herisanu and C Bota ldquoApplication of the vari-ational iteration method to some nonlinear one-dimensionaloscillationsrdquoMeccanica vol 43 no 1 pp 75ndash79 2008

[11] C W Lim and B S Wu ldquoA modified Mickens procedure forcertain non-linear oscillatorsrdquo Journal of Sound and Vibrationvol 257 no 1 pp 202ndash206 2002

[12] VMarinca andN Herisanu ldquoAmodified iteration perturbationmethod for somenonlinear oscillation problemsrdquoActaMechan-ica vol 184 no 1ndash4 pp 231ndash242 2006

[13] H Hu ldquoSolutions of the Duffing-harmonic oscillator by aniteration procedurerdquo Journal of Sound and Vibration vol 298no 1-2 pp 446ndash452 2006

[14] Y M Chen G Meng and J K Liu ldquoA new method for Fourierseries expansions applications in rotor-seal systemsrdquoMechanicsResearch Communications vol 38 no 5 pp 399ndash403 2011

[15] T Pirbodaghi M T Ahmadian and M Fesanghary ldquoOn thehomotopy analysis method for non-linear vibration of beamsrdquoMechanics Research Communications vol 36 no 2 pp 143ndash1482009

[16] Y M Chen and J K Liu ldquoA modified Mickens iterationprocedure for nonlinear oscillatorsrdquo Journal of Sound andVibration vol 314 no 3ndash5 pp 465ndash473 2008

[17] A H Nayfeh Introduction to Perturbation Techniques Wiley-Interscience New York NY USA 1993

[18] W J Ding Self-Excited Vibration Tsinghua University PressBeijing China 2009

Submit your manuscripts athttpwwwhindawicom

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Mathematical Problems in Engineering

Hindawi Publishing Corporationhttpwwwhindawicom

Differential EquationsInternational Journal of

Volume 2014

Applied MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Mathematical PhysicsAdvances in

Complex AnalysisJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

OptimizationJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Operations ResearchAdvances in

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Function Spaces

Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of Mathematics and Mathematical Sciences

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Algebra

Discrete Dynamics in Nature and Society

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Decision SciencesAdvances in

Discrete MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom

Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Stochastic AnalysisInternational Journal of

Page 4: Research Article An Iteration Scheme Suitable for Solving ...downloads.hindawi.com/journals/mpe/2013/582865.pdfISk=3 RK ISk=5 F : eLCsolutionsofsystem( )with =1 obtainedbythe modi

4 Mathematical Problems in EngineeringVe

loci

ty

3

2

1

0

minus1

minus2

minus3

Displacementminus25 minus2 minus15 minus1 minus05 0 05 1 15 2 25

RKIS

LP2LP4

Figure 2 The LC solutions of system (10) with 120576 = 15 obtained bythe modified MIM RK method and LP method respectively Theiteration solution is denoted as IS and the 119896th-order LP approxi-mation as LP119896

Velo

city

3

2

1

0

minus1

minus2

minus3

Displacementminus25 minus2 minus15 minus1 minus05 0 05 1 15 2 25

ISRK

Figure 3 Comparison of the LC solution of system (10) with 120576 = minus1provided by the modified MIM and by RK method respectively

the secular terms Likewise we present the following iterationscheme

1205962

119896minus1

(119896

+ 119909119896

) = 1205962

119896minus1

119909119896minus1

+ 119891 (119909119896minus1

120596119896minus2

119896minus1

) + 120578119892 (119909119896minus2

)

(23)

In this scheme 119892(119909119896minus2

) can be expanded as a Fourier seriessince 120572

119896minus2

has been determined at the previous iterationLet us consider a van der Pol type oscillator with a non-

smooth function as

+ 119909 + 120576 (1 minus 1199092

) + 120578119892 (119909) = 0 (24)

Velo

city

minus15

minus1

minus05

0

05

1

15

Displacementminus15 minus1 minus05 0 05 1 15

RKISk = 3

ISk = 5

Figure 4The LC solutions of system (21) with 120576 = 1 obtained by themodifiedMIM and RKmethod respectivelyThe 119896th-order solution(119909119896

) is represented by IS119896D

ispla

cem

ent

2

15

1

05

0

minus05

minus1

minus15

minus2

Velocityminus3 minus2 minus1 0 1 2 3

R-KPresent method

Figure 5 LC solutions of system (24) with (25) (120576 = 1 120578 = 05)provided by the modified MIM and by RK method respectively

with

119892 (119909) =

119909 minus 1 119909 ge 1

0 minus1 lt 119909 lt 1

119909 + 1 119909 le minus1

(25)

Figure 5 shows the LC of system (14) with 120576 = 1 and 120578 =05 The 5th-order approximations obtained by the presented

Mathematical Problems in Engineering 5D

ispla

cem

ent

25

2

15

1

05

0

minus05

minus1

minus15

minus2

minus25

Velocityminus3 minus2 minus1 0 1 2 3

R-KPresent method

Figure 6 LC solutions of system (24) with (26) (120576 = 1 120578 = 05)provided by the modified MIM and by RK method respectively

method agree well with the numerical solution when thenonsmooth term is given as

119892 (119909) = sgn (119909) =

1 119909 gt 0

0 119909 = 0

minus1 119909 lt 0

(26)

The LC can also be obtained very accurate as Figure 6 shows

4 Conclusions

The Mickens iteration method (MIM) has been modifiedso that it is suitable for solving LC solutions of self-excitedsystemswith nonsmooth andor damping nonlinearities Dif-ferent from the routinely-used MIM the modified methoddecouples the unknown frequency from nonlinear termsThis modification simplifies the MIM significantly Numeri-cal examples show the feasibility and validity of the presentedmethod which implies that it could be applicable to morenonlinear dynamical systems especially those with nonlineardamping terms and nonsmooth nonlinearities

Acknowledgment

This work is supported by the National Natural ScienceFoundation of China (11002088 11272361 11172333) Doc-toral Program Foundation of Ministry of Education ofChina (20130171110039) Guangdong Province Natural Sci-ence Foundation (S2012040007920 S2013010013802) Fun-damental Research Funds for the Central Universities(13lgzd06) and the Guangdong Province Science and Tech-nology Program (2012A030200011)

References

[1] R E Mickens ldquoIteration procedure for determining approx-imate solutions to nonlinear oscillator equationsrdquo Journal ofSound and Vibration vol 116 no 1 pp 185ndash187 1987

[2] R E Mickens ldquoHarmonic balance and iteration calculationsof periodic solutions to 119910

10158401015840

+ 119910minus1

= 0rdquo Journal of Sound andVibration vol 306 no 3ndash5 pp 968ndash972 2007

[3] R EMickens ldquoA generalized iteration procedure for calculatingapproximations to periodic solutions of ldquotruly nonlinear oscilla-torsrdquordquo Journal of Sound andVibration vol 287 no 4-5 pp 1045ndash1051 2005

[4] S Bhattacharjee and J K Bhattacharjee ldquoLindstedt Poincaretechnique applied to molecular potentialsrdquo Journal of Mathe-matical Chemistry vol 50 no 6 pp 1398ndash1410 2012

[5] H Hu and J H Tang ldquoA classical iteration procedure validfor certain strongly nonlinear oscillatorsrdquo Journal of Sound andVibration vol 299 no 1-2 pp 397ndash402 2007

[6] J I Ramos ldquoOn Linstedt-Poincare technique for the quinticDuffing equationrdquo Applied Mathematics and Computation vol193 no 2 pp 303ndash310 2007

[7] F K Yin J Q Song and X Q Cao ldquoCouple of the variationaliteration method and Legendre wavelets for nonlinear partialdifferential equationsrdquo Journal of Applied Mathematics vol2013 Article ID 157956 11 pages 2013

[8] M T Atay and O Kilic ldquoThe semianalytical solutions for stiffsystems of ordinary differential equations by using variationaliteration method and modified variational iteration methodwith comparison to exact solutionsrdquoMathematical Problems inEngineering vol 2013 Article ID 143915 11 pages 2013

[9] A-J Chen ldquoResonance analysis for tilted support spring cou-pled nonlinear packaging system applying variational iterationmethodrdquo Mathematical Problems in Engineering vol 2013Article ID 384251 4 pages 2013

[10] V Marinca N Herisanu and C Bota ldquoApplication of the vari-ational iteration method to some nonlinear one-dimensionaloscillationsrdquoMeccanica vol 43 no 1 pp 75ndash79 2008

[11] C W Lim and B S Wu ldquoA modified Mickens procedure forcertain non-linear oscillatorsrdquo Journal of Sound and Vibrationvol 257 no 1 pp 202ndash206 2002

[12] VMarinca andN Herisanu ldquoAmodified iteration perturbationmethod for somenonlinear oscillation problemsrdquoActaMechan-ica vol 184 no 1ndash4 pp 231ndash242 2006

[13] H Hu ldquoSolutions of the Duffing-harmonic oscillator by aniteration procedurerdquo Journal of Sound and Vibration vol 298no 1-2 pp 446ndash452 2006

[14] Y M Chen G Meng and J K Liu ldquoA new method for Fourierseries expansions applications in rotor-seal systemsrdquoMechanicsResearch Communications vol 38 no 5 pp 399ndash403 2011

[15] T Pirbodaghi M T Ahmadian and M Fesanghary ldquoOn thehomotopy analysis method for non-linear vibration of beamsrdquoMechanics Research Communications vol 36 no 2 pp 143ndash1482009

[16] Y M Chen and J K Liu ldquoA modified Mickens iterationprocedure for nonlinear oscillatorsrdquo Journal of Sound andVibration vol 314 no 3ndash5 pp 465ndash473 2008

[17] A H Nayfeh Introduction to Perturbation Techniques Wiley-Interscience New York NY USA 1993

[18] W J Ding Self-Excited Vibration Tsinghua University PressBeijing China 2009

Submit your manuscripts athttpwwwhindawicom

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Mathematical Problems in Engineering

Hindawi Publishing Corporationhttpwwwhindawicom

Differential EquationsInternational Journal of

Volume 2014

Applied MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Mathematical PhysicsAdvances in

Complex AnalysisJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

OptimizationJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Operations ResearchAdvances in

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Function Spaces

Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of Mathematics and Mathematical Sciences

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Algebra

Discrete Dynamics in Nature and Society

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Decision SciencesAdvances in

Discrete MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom

Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Stochastic AnalysisInternational Journal of

Page 5: Research Article An Iteration Scheme Suitable for Solving ...downloads.hindawi.com/journals/mpe/2013/582865.pdfISk=3 RK ISk=5 F : eLCsolutionsofsystem( )with =1 obtainedbythe modi

Mathematical Problems in Engineering 5D

ispla

cem

ent

25

2

15

1

05

0

minus05

minus1

minus15

minus2

minus25

Velocityminus3 minus2 minus1 0 1 2 3

R-KPresent method

Figure 6 LC solutions of system (24) with (26) (120576 = 1 120578 = 05)provided by the modified MIM and by RK method respectively

method agree well with the numerical solution when thenonsmooth term is given as

119892 (119909) = sgn (119909) =

1 119909 gt 0

0 119909 = 0

minus1 119909 lt 0

(26)

The LC can also be obtained very accurate as Figure 6 shows

4 Conclusions

The Mickens iteration method (MIM) has been modifiedso that it is suitable for solving LC solutions of self-excitedsystemswith nonsmooth andor damping nonlinearities Dif-ferent from the routinely-used MIM the modified methoddecouples the unknown frequency from nonlinear termsThis modification simplifies the MIM significantly Numeri-cal examples show the feasibility and validity of the presentedmethod which implies that it could be applicable to morenonlinear dynamical systems especially those with nonlineardamping terms and nonsmooth nonlinearities

Acknowledgment

This work is supported by the National Natural ScienceFoundation of China (11002088 11272361 11172333) Doc-toral Program Foundation of Ministry of Education ofChina (20130171110039) Guangdong Province Natural Sci-ence Foundation (S2012040007920 S2013010013802) Fun-damental Research Funds for the Central Universities(13lgzd06) and the Guangdong Province Science and Tech-nology Program (2012A030200011)

References

[1] R E Mickens ldquoIteration procedure for determining approx-imate solutions to nonlinear oscillator equationsrdquo Journal ofSound and Vibration vol 116 no 1 pp 185ndash187 1987

[2] R E Mickens ldquoHarmonic balance and iteration calculationsof periodic solutions to 119910

10158401015840

+ 119910minus1

= 0rdquo Journal of Sound andVibration vol 306 no 3ndash5 pp 968ndash972 2007

[3] R EMickens ldquoA generalized iteration procedure for calculatingapproximations to periodic solutions of ldquotruly nonlinear oscilla-torsrdquordquo Journal of Sound andVibration vol 287 no 4-5 pp 1045ndash1051 2005

[4] S Bhattacharjee and J K Bhattacharjee ldquoLindstedt Poincaretechnique applied to molecular potentialsrdquo Journal of Mathe-matical Chemistry vol 50 no 6 pp 1398ndash1410 2012

[5] H Hu and J H Tang ldquoA classical iteration procedure validfor certain strongly nonlinear oscillatorsrdquo Journal of Sound andVibration vol 299 no 1-2 pp 397ndash402 2007

[6] J I Ramos ldquoOn Linstedt-Poincare technique for the quinticDuffing equationrdquo Applied Mathematics and Computation vol193 no 2 pp 303ndash310 2007

[7] F K Yin J Q Song and X Q Cao ldquoCouple of the variationaliteration method and Legendre wavelets for nonlinear partialdifferential equationsrdquo Journal of Applied Mathematics vol2013 Article ID 157956 11 pages 2013

[8] M T Atay and O Kilic ldquoThe semianalytical solutions for stiffsystems of ordinary differential equations by using variationaliteration method and modified variational iteration methodwith comparison to exact solutionsrdquoMathematical Problems inEngineering vol 2013 Article ID 143915 11 pages 2013

[9] A-J Chen ldquoResonance analysis for tilted support spring cou-pled nonlinear packaging system applying variational iterationmethodrdquo Mathematical Problems in Engineering vol 2013Article ID 384251 4 pages 2013

[10] V Marinca N Herisanu and C Bota ldquoApplication of the vari-ational iteration method to some nonlinear one-dimensionaloscillationsrdquoMeccanica vol 43 no 1 pp 75ndash79 2008

[11] C W Lim and B S Wu ldquoA modified Mickens procedure forcertain non-linear oscillatorsrdquo Journal of Sound and Vibrationvol 257 no 1 pp 202ndash206 2002

[12] VMarinca andN Herisanu ldquoAmodified iteration perturbationmethod for somenonlinear oscillation problemsrdquoActaMechan-ica vol 184 no 1ndash4 pp 231ndash242 2006

[13] H Hu ldquoSolutions of the Duffing-harmonic oscillator by aniteration procedurerdquo Journal of Sound and Vibration vol 298no 1-2 pp 446ndash452 2006

[14] Y M Chen G Meng and J K Liu ldquoA new method for Fourierseries expansions applications in rotor-seal systemsrdquoMechanicsResearch Communications vol 38 no 5 pp 399ndash403 2011

[15] T Pirbodaghi M T Ahmadian and M Fesanghary ldquoOn thehomotopy analysis method for non-linear vibration of beamsrdquoMechanics Research Communications vol 36 no 2 pp 143ndash1482009

[16] Y M Chen and J K Liu ldquoA modified Mickens iterationprocedure for nonlinear oscillatorsrdquo Journal of Sound andVibration vol 314 no 3ndash5 pp 465ndash473 2008

[17] A H Nayfeh Introduction to Perturbation Techniques Wiley-Interscience New York NY USA 1993

[18] W J Ding Self-Excited Vibration Tsinghua University PressBeijing China 2009

Submit your manuscripts athttpwwwhindawicom

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Mathematical Problems in Engineering

Hindawi Publishing Corporationhttpwwwhindawicom

Differential EquationsInternational Journal of

Volume 2014

Applied MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Mathematical PhysicsAdvances in

Complex AnalysisJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

OptimizationJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Operations ResearchAdvances in

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Function Spaces

Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of Mathematics and Mathematical Sciences

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Algebra

Discrete Dynamics in Nature and Society

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Decision SciencesAdvances in

Discrete MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom

Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Stochastic AnalysisInternational Journal of

Page 6: Research Article An Iteration Scheme Suitable for Solving ...downloads.hindawi.com/journals/mpe/2013/582865.pdfISk=3 RK ISk=5 F : eLCsolutionsofsystem( )with =1 obtainedbythe modi

Submit your manuscripts athttpwwwhindawicom

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Mathematical Problems in Engineering

Hindawi Publishing Corporationhttpwwwhindawicom

Differential EquationsInternational Journal of

Volume 2014

Applied MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Mathematical PhysicsAdvances in

Complex AnalysisJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

OptimizationJournal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Operations ResearchAdvances in

Journal of

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Function Spaces

Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014

International Journal of Mathematics and Mathematical Sciences

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Algebra

Discrete Dynamics in Nature and Society

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Decision SciencesAdvances in

Discrete MathematicsJournal of

Hindawi Publishing Corporationhttpwwwhindawicom

Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014

Stochastic AnalysisInternational Journal of