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Editorial Perturbation Methods and Formal Modeling for Dynamic Systems Saeed Islam, 1 Sher Afzal Khan, 2 Gul Zaman, 3 and Il Hyo Jung 4 1 Department of Mathematics, Abdul Wali Khan University, Mardan, Pakistan 2 Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia 3 Department of Mathematics, University of Malakand, Lower Dir, Pakistan 4 Department of Mathematics, Pusan National University, Busan 609-735, Republic of Korea Correspondence should be addressed to Saeed Islam; [email protected] Received 1 March 2015; Accepted 1 March 2015 Copyright © 2015 Saeed Islam 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 nonlinear differential equations have been variously used by the researchers in science and engineering to model many real world problems. If the problems from various branches of science and engineering are persistently unresolved through differential equations, the approximate solutions may be obtained through perturbation or numerical methods [1]. However, the availability of high speed computers, advanced algorithm, and a number of sophisticated numerical tech- niques has enabled researchers to solve problems through differential equations of considerable complexity and nonlin- earity. Nonetheless, failures to find exact analytical solutions to problems have reverted the researchers to various approx- imate analytical methods [2, 3]. Since the power series method fails to provide solutions to equations at irregular singular points and at infinity, the asymptomatic method, which is an off-shoot of the power series method, provides the necessary answers to the singu- larly perturbed equations at infinity as well. e perturbation technique involves the expression of the unknown function of the problem to be solved as a power series expansion and obtain the successive terms of the expansion carefully. e idea behind the perturbation method is that the ini- tiative is taken with a simplified form of the original problem, and the perturbations or corrections are added gradually so that the original problem correlates with the solution. e different perturbation parameters are adopted starting from the minimal value taken as zero. e perturbation method is supplemented by boundary-layer method, multiple-scale method, WKB method, and so forth [3]. In problems involving linear or nonlinear differential equations, a sequence of linear subproblems is devised comprised of a number of differential equations; these are successively solved to obtain solution to the original problem. Researchers have developed nonperturbation methods as well in order to solve complicated subproblems involving perturbed parameters. Among these, Lyapunov’s artificial parameter method and (sigma) expansion method and Ado- mian decomposition method are important. Another most efficient and nicely developed technique is the homotopy analysis method proposed by Liao, homotopy perturbation method developed by He, optimal homotopy asymptotic method and optimal homotopy perturbation methods intro- duced by Marinca, and Herisanu semianalytical techniques which are best suited for nonlinear ordinary and partial differential equations [47]. However, formal modelings are based on mathematical techniques and notations, for describing and analyzing prop- erties of soſtware systems [8, 9]. ese mathematical techniques are typically based on discrete mathematics such as predicate logic, set theory, relations, functions, and graph theory. e precise mathe- matical notation eliminates the ambiguity, inconsistencies, and incompleteness from any soſtware and hardware system. e aim of formal methods is to demonstrate the process of Hindawi Publishing Corporation Abstract and Applied Analysis Volume 2015, Article ID 384710, 2 pages http://dx.doi.org/10.1155/2015/384710

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EditorialPerturbation Methods and Formal Modeling forDynamic Systems

Saeed Islam,1 Sher Afzal Khan,2 Gul Zaman,3 and Il Hyo Jung4

1Department of Mathematics, Abdul Wali Khan University, Mardan, Pakistan2Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia3Department of Mathematics, University of Malakand, Lower Dir, Pakistan4Department of Mathematics, Pusan National University, Busan 609-735, Republic of Korea

Correspondence should be addressed to Saeed Islam; [email protected]

Received 1 March 2015; Accepted 1 March 2015

Copyright © 2015 Saeed Islam et al. 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.

The nonlinear differential equations have been variously usedby the researchers in science and engineering to model manyreal world problems. If the problems fromvarious branches ofscience and engineering are persistently unresolved throughdifferential equations, the approximate solutions may beobtained through perturbation or numerical methods [1].However, the availability of high speed computers, advancedalgorithm, and a number of sophisticated numerical tech-niques has enabled researchers to solve problems throughdifferential equations of considerable complexity and nonlin-earity. Nonetheless, failures to find exact analytical solutionsto problems have reverted the researchers to various approx-imate analytical methods [2, 3].

Since the power series method fails to provide solutionsto equations at irregular singular points and at infinity, theasymptomatic method, which is an off-shoot of the powerseries method, provides the necessary answers to the singu-larly perturbed equations at infinity as well.The perturbationtechnique involves the expression of the unknown functionof the problem to be solved as a power series expansion andobtain the successive terms of the expansion carefully.

The idea behind the perturbation method is that the ini-tiative is taken with a simplified form of the original problem,and the perturbations or corrections are added gradually sothat the original problem correlates with the solution. Thedifferent perturbation parameters are adopted starting fromthe minimal value taken as zero. The perturbation method

is supplemented by boundary-layer method, multiple-scalemethod, WKB method, and so forth [3].

In problems involving linear or nonlinear differentialequations, a sequence of linear subproblems is devisedcomprised of a number of differential equations; these aresuccessively solved to obtain solution to the original problem.

Researchers have developed nonperturbationmethods aswell in order to solve complicated subproblems involvingperturbed parameters. Among these, Lyapunov’s artificialparameter method and (sigma) expansion method and Ado-mian decomposition method are important. Another mostefficient and nicely developed technique is the homotopyanalysis method proposed by Liao, homotopy perturbationmethod developed by He, optimal homotopy asymptoticmethod and optimal homotopy perturbation methods intro-duced by Marinca, and Herisanu semianalytical techniqueswhich are best suited for nonlinear ordinary and partialdifferential equations [4–7].

However, formal modelings are based on mathematicaltechniques and notations, for describing and analyzing prop-erties of software systems [8, 9].

These mathematical techniques are typically based ondiscrete mathematics such as predicate logic, set theory,relations, functions, and graph theory. The precise mathe-matical notation eliminates the ambiguity, inconsistencies,and incompleteness from any software and hardware system.The aim of formal methods is to demonstrate the process of

Hindawi Publishing CorporationAbstract and Applied AnalysisVolume 2015, Article ID 384710, 2 pageshttp://dx.doi.org/10.1155/2015/384710

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2 Abstract and Applied Analysis

development of a system from requirement to coding. Thisapproach identifies errors and oversights early in the designlife cycle, which are then easy to remove, with consequenthigh quality and cost saving.This improves the informal formof the system but does not replace them. There are varioustypes of formal modeling approaches which include Com-mUnity, Estelle, Esterel, Lotos, Petri Nets, RAISE, Z, VDM,and VDM++ [10–12]. We can divide formal specification intothree components: syntax: grammatical rules to determine ifsentences are well formed, semantics: rules for interpretingthe sentences in a precise,meaningful waywithin the domain,and proof theory: rules for inferring useful information fromthe specification.

Saeed IslamSher Afzal Khan

Gul ZamanIl Hyo Jung

References

[1] A.H.Nayfeh,PerturbationMethods,Wiley,NewYork,NY,USA,1972.

[2] J. H. He, “A review on some new recently developed nonlinear analytical techniques,” International Journal of NonlinearSciences and Numerical Simulation, vol. 1, no. 1, pp. 51–70, 2000.

[3] T. S. L. Radhika, T. K. V. Iyengar, and T. R. Rani, ApproximateAnalytical Methods for Solving Ordinary Differential Equations,CRCPress, Taylor& FrancisGroup, BocaRaton, Fla, USA, 2014.

[4] A.-M.Wawaz, “A reliable modification of Adomian decomposi-tion method,” Applied Mathematics and Computation, vol. 102,no. 1, pp. 77–86, 1999.

[5] S. J. Liao, The proposed homotopy analysis technique for thesolutionof nonlinear problems [Ph.D. thesis], Shanghai Jiao TongUniversity, Shanghai, China, 1992.

[6] J.-H. He, “Homotopy perturbation technique,” Computer Meth-ods in Applied Mechanics and Engineering, vol. 178, no. 3-4, pp.257–262, 1999.

[7] V. Marica and N. Hersanu, “Application of optimal homotopyasymptoticmethod for solving nonlinear equations arising inheat transfer,” International Journal of Heat and Mass Transfer,vol. 13, pp. 710–715, 2008.

[8] E. A. Strunk, X. Yin, and J. C. Knight, “Echo: a practicalapproach to formal verification,” in Proceedings of the 10thInternational Workshop on Formal Methods for Industrial Crit-ical Systems (FMICS ’05), pp. 44–53, ACM, Lisbon, Portugal,September 2005.

[9] M. C. Edmund and J. M. Winggie, Formal Methods: Stateof the Art and Future Direction, Carnegie Mellon University,Pittsburgh, Pa, USA, 1996.

[10] S. Liu and R. Adams, “Limitations of formal methods and anapproach to implement,” Tech. Rep., Hiroshima City University,Hiroshima, Japan, 1995.

[11] J. Woodcock and J. Davies, Using Z: Specification, Refinement,and Proof, Prentice Hall, 1996.

[12] J. P. Hinchey, Bowen, and G. Michael, Ten Commandments ofFormal Methods, PC World Russia, 1997.

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