Abstract
The aim of this paper is to find numerical solutions of nonlinear boundary value problems (BVPs). First, the nonlinear system is transformed into linear system using the Quasi-Newton’s method, and the convergence of the method is verified. Second, we defined Hilbert space \(W_{(2,2)}\) and constructed a set of multiscale orthonormal basis in \(W_{(2,2)}\). By solving the \(\varepsilon -\)approximation solution of the linear systems, the numerical solution of linear systems is obtained. Furthermore the feasibility and effectiveness of the proposed method are verified by three numerical experiments.
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References
Ariasa CA, Martneza HJ, Prezb R (2020) Global inexact Quasi–Newton method for nonlinear system of equations with constraints. Appl Numer Math 150:559–575
Aydin E, Bonvin D, Sundmacher K (2017) Dynamic optimization of constrained semi-batch processes using Pontryagin’s minimum principle—an effective Quasi–Newton method. Comput Chem Eng 99:135–144
Behmardi D, Nayeri E (2008) Introduction of \(Fr\acute{e}chet\) and gateaux derivative. Appl Math Sci 2:975–980
Bush J et al (2016) Conley–Morse databases for the angular dynamics of Newton’s method on the plane. SIAM J Appl Dyn Syst 15(2):736–766
Caglara N, Caglar H (2009) B-spline method for solving linear system of second-order boundary value problems. Comput Math Appl 57:757–762
Chen X, Zhang X (2019) A predicted-Newton’s method for solving the interface positioning equation in the MoF method on general polyhedrons. J Comput Phys 384:60–76
Cheng X, Zhong C (2005) Existence of positive solutions for a second-order ordinary differential system. J Math Anal Appl 312:14–23
Clarence WDS (2009) Modeling and control of engineering systems. CRC Press, Boca Raton
Dehghan M (2013) A, Nikpour, Numerical solution of the system of second-order boundary value problems using the local radial basis functions based dierential quadrature collocation method. Appl Math Model 37:8578–8599
Dehghan M, Lakestani M (2008) Numerical solution of a nonlinear system of second-order boundary value problems using cubic B-spline scaling function. Int J Comput Math 85(9):1455–1461
Dehghan M, Saadatmandi A (2007) The numerical solution of a nonlinear system of second-order boundary value problems using the sinc-collocation method. Math Comput Model 46:1434–1441
Ding G (2008) An introduction to banach space. Science Press, Beijing
Eberhard Zeidler (1986) Nonlinear functional analysis and its applications i: fixed-point theorems. Springer, New York Berlin Heidelberg Tokyo
Fang X, Ni Q, Zeng M (2017) A modified Quasi–Newton method for nonlinear equations. J Comput Appl Math 328:44–58
Filipov M, Stefan ID (2019) Gospodinov, replacing the finite difference methods for nonlinear two-point boundary value problems by successive application of the linear shooting method. J Comput Appl Math 358:46–60
Geng F, Cui M (2007) Solving a nonlinear system of second order boundary value problems. J Math Anal Appl 327:1167–1181
Gracia J, Stynes M (2020) A finite difference method for an initial-boundary value problem with a Riemann-Liouville-Caputo spatial fractional derivative. J Comput Appl Math 113020
Kazmierczak B, Lipniacki T (2002) Homoclinic solutions in mechanical systems with small dissipation. Application to DNA dynamics. J Math Biol 44(4):309–329
Lang F, Xu X (2012) Quintic B-spline collocation method for second order mixed boundary value problem. Comput Phys Commun 183:913–921
Li X, Wu B (2020) A new kernel functions based approach for solving 1-D interface problems. Appl Math Comput 380:125276
Li X, Li H, Wu B (2019) Piecewise reproducing kernel method for linear impulsive delay differential equations with piecewise constant arguments. Appl Math Comput 349:304–313
Mei L (2020) A novel method for nonlinear impulsive differential equations in broken reproducing kernel space. Acta Math Sci 40:723–733
Mei L, Lin Y (2019) Simplified reproducing kernel method and convergence order for linear Volterra integral equations with variable coefficients. J Comput Appl Math 346:390–398
Mei L, Jia Y, Lin Y (2018) Simplified reproducing kernel method for impulsive delay differential equations. Appl Math Lett 83:123–129
Mei L, Sun H, Lin Y (2019) Numerical method and convergence order for second-order impulsive differential equations. Adv Differ Equ 260:1–14
Niu J, Xu M, Lin Y et al (2018) Numerical solution of nonlinear singular boundary value problems. J Comput Appl Math 331:42–51
Pezza L, Pitolli F (2018) A multiscale collocation method for fractional differential problems. Math Comput Simulat 147:210–219
Sahihi H, Allahviranloo T, Abbasbandy S (2020) Solving system of second-order BVPs using a new algorithm based on reproducing kernel Hilbert space. Appl Numer Math 151:27–39
Wellstead PE (1979) Introduction to physical system modelling. Academic Press, London
Wu B, Lin Y (2012) Application-oriented the reproducing kernel space. Beijing Science Press, Beijing
Xu M, Lin Y, Wang Y (2016) A new algorithm for nonlinear fourth order multi-point boundary value problems. Appl Math Comput 274:163–168
Xu M, Niu J, Lin Y (2018) An efficient method for fractional nonlinear differential equations by Quasi-Newton’s method and simplified reproducing kernel method. Math Method Appl Sci 5–14
Zhang Y, Sun H, Jia Y, Lin Y (2020) An algorithm of the boundary value problem based on multiscale orthogonal compact base. Appl Math Lett 101:106044
Zheng Y, Lin Y, Shen Y (2020) A new multiscale algorithm for solving second order boundary value problems. Appl Numer Math 156:528–541
Zhou W, Zhang L (2020) A modified Broyden-like Quasi–Newton method for nonlinear equations. J Comput Appl Math 372:112744
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This work has been supported by three research projects (XJ-2018-05, ZH22017003200026PWC, 2022WZJD012).
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YZ conceived of the study, designed the study and collected the literature. LM proved the convergence of the algorithm. YL reviewed the full text. All authors were involved in writing the manuscript. All authors read and approved the final manuscript.
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Communicated by Zhaosheng Feng.
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Zhang, Y., Mei, L. & Lin, Y. Multiscale orthonormal method for nonlinear system of BVPs. Comp. Appl. Math. 42, 39 (2023). https://doi.org/10.1007/s40314-022-02170-0
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DOI: https://doi.org/10.1007/s40314-022-02170-0