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Numerical solution of second-order fuzzy nonlinear two-point boundary value problems using combination of finite difference and Newton’s methods

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Abstract

In this paper, we discuss the numerical solution of second-order nonlinear two-point fuzzy boundary value problems (TPFBVP) by combining the finite difference method with Newton’s method. Numerical example using the well-known nonlinear TPFBVP is presented to show the capability of the new method in this regard and the results are satisfied the convex triangular fuzzy number. We also compare the numerical results with the exact solution, and it shows that the proposed method is good approximation for the analytic solution of the given TPFBVP.

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References

  1. Seikkala S (1987) On the fuzzy initial value problem. Fuzzy Set Syst 24(3):319–330

    Article  MathSciNet  Google Scholar 

  2. Abu Arqub O, Al-Smadi M, Momani S, Hayat T (2016) Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems. Soft Comput. doi:10.1007/s00500-016-2262-3

    Article  MATH  Google Scholar 

  3. Abu Arqub O, Al-Smadi M, Momani S, Hayat T (2015) Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method. Soft Comput 20(2016):3283–3302. doi:10.1007/s00500-015-1707-4

    Article  MATH  Google Scholar 

  4. Abu Arqub O (2016) The reproducing kernel algorithm for handling differential algebraic systems of ordinary differential equations. Math Methods Appl Sci 39(2016):4549–4562. doi:10.1002/mma.3884

    Article  MathSciNet  MATH  Google Scholar 

  5. Abu Arqub O (2016) Approximate solutions of DASs with nonclassical boundary conditions using novel reproducing kernel algorithm. Fundam Inf 146(3):231–254

    Article  MathSciNet  Google Scholar 

  6. Usmani RA (1978) Discrete methods for a boundary value problem with engineering applications. Math Comput 32:1087–1096

    Article  MathSciNet  Google Scholar 

  7. Ghosh S, Roy D (2007) Numeric-analytic form of the adomian decomposition method for two-point boundary value problems in nonlinear mechanics. J Eng Mech 133(10):1124–1133

    Article  Google Scholar 

  8. Ray Mahapatra T, Gupta AS (2002) Heat transfer in stagnation-point flow towards a stretching sheet. Heat Mass Transf 38(6):517–552

    Article  Google Scholar 

  9. Sharma R, Ishak A, Pop I (2013) Partial slip flow and heat transfer over a stretching sheet in a nano fluid. Math Probl Eng 2013:1–7. doi:10.1155/2013/724547

    Article  Google Scholar 

  10. Kopteva N, Madden N, Stynes M (2005) Grid equidistribution for reaction-diffusion problems in one dimension. Numer Algorithms 40(30):305–322

    Article  MathSciNet  Google Scholar 

  11. Kopteva N, Stynes M (2001) A robust adaptive method for a quasilinear one-dimensional convection-diffusion problem. SIAM J Numer Anal 39:1446–1467

    Article  MathSciNet  Google Scholar 

  12. Schlögl F (1972) Chemical reaction models for non-equilibrium phase transitions. Z Physik 253:147–161

    Article  Google Scholar 

  13. Fukui K (1981) The path of chemical reactions—the IRC approach. Chem Res 14(12):363–368

    Article  Google Scholar 

  14. Goebel M, Raitums U (1990) Optimal control of two point boundary value problems. Control Inf Sci 143:281–290

    MathSciNet  MATH  Google Scholar 

  15. Popescu M (2011) Two-point boundary value problem of control systems with parameter. Comput Control Appl (CCCA) IEEE 29:1–6. doi:10.1109/CCCA.2011.6031421

    Article  Google Scholar 

  16. Omer A, Omer O (2013) A pray and pretdour model with fuzzy intial values. Hacet J Math Stat 41(3):387–395

    Google Scholar 

  17. Tapaswini S, Chakraverty S (2013) Numerical solution of fuzzy arbitrary order predator–prey equations. Appl Appl Math 8(1):647–673

    MathSciNet  MATH  Google Scholar 

  18. Muhammad ZA, De Baets B (2009) Predator–prey model with fuzzy initial populations. In: International fuzzy systems association world congress and European society of fuzzy logic and technology conference, Lisbon, Portugal, July 20–24, IFSA-EUSFLAT, pp 1311–1314

  19. El Naschie MS (2005) From Experimental quantum optics to quantum gravity via a fuzzy Kahler manifold. Chaos Solut Fractals 25:969–977

    Article  Google Scholar 

  20. Abbod MF, Von Keyserlingk DG, Linkens DA, Mahfouf M (2011) Survey of utilization of fuzzy technology in medicine and healthcare. Fuzzy Set Syst 120:331–349

    Article  Google Scholar 

  21. Barro B, Marin R (2002) Fuzzy logic in medicine. Physica, Heidelberg

    Book  Google Scholar 

  22. Allahviranloo T, Khalilpour K (2011) Numerical method for two-point fuzzy boundary value problems. World Appl Sci J 13(10):2137–2147

    Google Scholar 

  23. Jameel AF, Sarmad JA (2015) Numerical solution of linear Emden fowler boundary value problem in fuzzy environment. J Math Comput Sci 15:179–194

    Article  Google Scholar 

  24. Allahviranloo T, Khalilpour K (2011) An initial-value method for two-point fuzzy boundary value problems. World Appl Sci J 13(10):2148–2155

    Google Scholar 

  25. Bodjanova S (2006) Median alpha-levels of a fuzzy number. Fuzzy Set Syst 157(7):879–891

    Article  MathSciNet  Google Scholar 

  26. Dubois D, Prade H (1982) Towards fuzzy differential calculus. Part 3: differentiation. Fuzzy Set Syst 8:225–233

    Article  Google Scholar 

  27. Mansouri S, Ahmady N (2012) Numerical method for solving Nth-order fuzzy differential equation by using characterization theorem. Commun Numer Anal 2012:1–12

    Article  MathSciNet  Google Scholar 

  28. Ghanbari M (2009) Numerical solution of fuzzy initial value problems under generalization differentiability by HPM. Int J Ind Math 1(1):19–39

    Google Scholar 

  29. Fard OS (2009) An iterative scheme for the solution of generalized system of linear fuzzy differential equations. World Appl Sci J 7:1597–11604

    Google Scholar 

  30. Zadeh LA (2005) Toward a generalized theory of uncertainty. Inf Sci 172(2):1–40

    Article  MathSciNet  Google Scholar 

  31. Sriram S, Murugadas P (2010) On semiring of intuitionistic fuzzy matrices. Appl Math Sci 4(23):1099–1105

    MathSciNet  MATH  Google Scholar 

  32. Guo X, Shang D, Lu X (2013) Fuzzy approximate solutions of second-order fuzzy linear boundary value problems. J Bound Value Probl 2013:1–17. doi:10.1186/1687-2770-2013-212

    Article  MathSciNet  MATH  Google Scholar 

  33. Kelley CT (1995) Iterative methods for linear and nonlinear equations. Number 16 in Frontiers in Applied Mathematics, SIAM, Philadelphia

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Correspondence to Ali F. Jameel.

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Jameel, A.F., Saaban, A. & Zureigat, H.H. Numerical solution of second-order fuzzy nonlinear two-point boundary value problems using combination of finite difference and Newton’s methods. Neural Comput & Applic 30, 3167–3175 (2018). https://doi.org/10.1007/s00521-017-2893-z

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