2021
DOI: 10.3390/fractalfract5030060
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On Iterative Methods for Solving Nonlinear Equations in Quantum Calculus

Abstract: Quantum calculus (also known as the q-calculus) is a technique that is similar to traditional calculus, but focuses on the concept of deriving q-analogous results without the use of the limits. In this paper, we suggest and analyze some new q-iterative methods by using the q-analogue of the Taylor’s series and the coupled system technique. In the domain of q-calculus, we determine the convergence of our proposed q-algorithms. Numerical examples demonstrate that the new q-iterative methods can generate solution… Show more

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Cited by 14 publications
(12 citation statements)
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“…Let r be the simple zero of f is satisfactorily differentiable. Between n  and 1 n  + has developed a bond of r for the convergence rate of HNIT (1). Suppose ( ) ( ) ( ) ( )…”
Section: Proofmentioning
confidence: 99%
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“…Let r be the simple zero of f is satisfactorily differentiable. Between n  and 1 n  + has developed a bond of r for the convergence rate of HNIT (1). Suppose ( ) ( ) ( ) ( )…”
Section: Proofmentioning
confidence: 99%
“…Efforts were made with an efficient approximate solution of the various NLP types of ( ) 0 fx= for exploring the modified and hybrid NIT scheme, i.e., HNIT (1). The HNIT model was developed as the family of bracketing iterative techniques (BITs) with NRIT and TSE crossbreed contemplations and found an excellent work performance.…”
Section: Hybrid Numerical Iterative Techniquementioning
confidence: 99%
See 1 more Smart Citation
“…The main advantage of fractional order differential equations is that they produce accurate and stable results. Therefore, these equations represent a significant class of differential equations [11][12][13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…This strategy combines the Sumudu transform method with an iterative method, two potent approaches. An iterative method (IM) has been presented by Daftardar-Gejji and Jafari to solve linear and nonlinear functional equations [37][38][39][40]. The IM has been effectively applied in many kinds of investigation to solve some linear and nonlinear PDEs and ODEs, NDDEs, higher-order integro-DEs, two-dimensional nonlinear Sine Gordon equation (NLSGE), and Korteweg-de Vries equations [25,[41][42][43].…”
Section: Introductionmentioning
confidence: 99%