2019
DOI: 10.3390/math7090826
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Analytic Methods for Solving Higher Order Ordinary Differential Equations

Abstract: In this work, an analytic approach for solving higher order ordinary differential equations (ODEs) is developed. The techniques offer analytic flexibility in many research areas such as physics, engineering, and applied sciences and are effective for solving complex ODEs.

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Cited by 4 publications
(5 citation statements)
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“…the local truncation errors [24][25][26] of v p (u) where p is a derivative, i.e., 0 p v = … are calculated after substitution of the exact solution of (1) into (11)(12)(13)(14)(15)(16).…”
Section: Derivation Of Runge-kutta Sixth Order (Rksd) Methodsmentioning
confidence: 99%
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“…the local truncation errors [24][25][26] of v p (u) where p is a derivative, i.e., 0 p v = … are calculated after substitution of the exact solution of (1) into (11)(12)(13)(14)(15)(16).…”
Section: Derivation Of Runge-kutta Sixth Order (Rksd) Methodsmentioning
confidence: 99%
“…Further, using equations (17)(18)(19) in equations (11)(12)(13)(14)(15)(16), the increment functions , , ,…”
Section: Derivation Of Runge-kutta Sixth Order (Rksd) Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The said system of Riemann–Liouville scriptFscriptDscriptE$$ \mathcal{FDE} $$ ()–() is the generalization of second‐order ordinary differential equation, and according to our information, the proposed ordinary differential equation have several uses in different engineering fields and the area of applied sciences [32–36]. Additionally, for α=β=1$$ \alpha =\beta =-1 $$, we can acquire boundary conditions in the form of anti‐periodic, which often occur in the models of different physical phenomena (e.g., in the partial, ordinary and scriptDscriptE$$ \mathcal{DE} $$ with impulses, anti‐periodic trigonometric polynomials in the investigation of the interpolation issues, anti‐periodic wavelets, and equations in the discrete form) [37–41].…”
Section: Introductionmentioning
confidence: 99%
“…Several engineering, chemical, science, and biological applications can be modeled, analyzed and/or solved using ordinary differential equations (ODEs). Simple first-order ODEs or more complex higher-order ODEs can be used to solve several problems in robotics, nuclear magnetic response, fluid equations, analysis of electrical circuits, and other applications [1][2][3]. The ODEs can be found in different forms including partial and algebraic problems [4,5].…”
Section: Introductionmentioning
confidence: 99%