Closed-form higher-order numerical differentiators for differentiating noisy signals

Liu, Chein‐Shan; Dong, Leiting

doi:10.1016/j.amc.2019.04.028

Cited by 3 publications

(1 citation statement)

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“…; m þ 2g are available, we can insert them into equation ( 26) to solve x(t). This form of the approach to the numerical solution is called the closed-form expansion coefficients method, which has been applied to solve other engineering problems Liu and Li, 2017;Liu et al, 2018;Liu and Dong, 2019).…”

Section: Closed-form Expansion Coefficients Methodsmentioning

confidence: 99%

Solving second-order nonlinear boundary value problem with nonlinear boundary conditions by an iterative method

Liu

Chang

2020

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Purpose The purpose of this paper is to solve the second-order nonlinear boundary value problem with nonlinear boundary conditions by an iterative numerical method. Design/methodology/approach The authors introduce eigenfunctions as test functions, such that a weak-form integral equation is derived. By expanding the numerical solution in terms of the weighted eigenfunctions and using the orthogonality of eigenfunctions with respect to a weight function, and together with the non-separated/mixed boundary conditions, one can obtain the closed-form expansion coefficients with the aid of Drazin inversion formula. Findings When the authors develop the iterative algorithm, removing the time-varying terms as well as the nonlinear terms to the right-hand sides, to solve the nonlinear boundary value problem, it is convergent very fast and also provides very accurate numerical solutions. Research limitations/implications Basically, the authors’ strategy for the iterative numerical algorithm is putting the time-varying terms as well as the nonlinear terms on the right-hand sides. Practical implications Starting from an initial guess with zero value, the authors used the closed-form formula to quickly generate the new solution, until the convergence is satisfied. Originality/value Through the tests by six numerical experiments, the authors have demonstrated that the proposed iterative algorithm is applicable to the highly complex nonlinear boundary value problems with nonlinear boundary conditions. Because the coefficient matrix is set up outside the iterative loop, and due to the property of closed-form expansion coefficients, the presented iterative algorithm is very time saving and converges very fast.

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Section: Closed-form Expansion Coefficients Methodsmentioning

confidence: 99%