2021
DOI: 10.1142/s0218348x21400235
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A Powerful Iterative Approach for Quintic Complex Ginzburg–landau Equation Within the Frame of Fractional Operator

Abstract: The study of nonlinear phenomena associated with physical phenomena is a hot topic in the present era. The fundamental aim of this paper is to find the iterative solution for generalized quintic complex Ginzburg–Landau (GCGL) equation using fractional natural decomposition method (FNDM) within the frame of fractional calculus. We consider the projected equations by incorporating the Caputo fractional operator and investigate two examples for different initial values to present the efficiency and applicability … Show more

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Cited by 52 publications
(28 citation statements)
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“…Additionally, many researchers used fractional operators to examine and derive some stimulating consequences of physical phenomena [43,44]. Recently, scholars in [45] captured the complex natured quintic Ginzburg-Landau equation. The fifth-order weakly nonlocal fractional Schrödinger equation was studied with the Caputo derivative in [46].…”
Section: Mathematical Formulation Of the Siru Modelmentioning
confidence: 99%
“…Additionally, many researchers used fractional operators to examine and derive some stimulating consequences of physical phenomena [43,44]. Recently, scholars in [45] captured the complex natured quintic Ginzburg-Landau equation. The fifth-order weakly nonlocal fractional Schrödinger equation was studied with the Caputo derivative in [46].…”
Section: Mathematical Formulation Of the Siru Modelmentioning
confidence: 99%
“…Solving equations (5.9)-(5.11) simultaneously leads to the following solution: 2,3,4,5,6,7,8,9) and ψ 1 = ψ 2 = 0, ψ 3 = ψ, (5.12)…”
Section: Conservation Laws Of Tfnse (11)mentioning
confidence: 99%
“…Mathematicians have derived a wide range of numerical methods to solve FDEs of various kinds. They include methods such as He's variational iteration [30,31], Adomian's decomposition [32], homotopy analysis [33], homotopy perturbation [34], q-homotopy analysis [35][36][37][38] collocation [39], predictor-corrector [40,41], artificial neural network approach [42], Gelerkian [43], differential transform [44] methods and others [45,46]. Another useful approach for dealing with FDEs is to use some orthogonal or non-orthogonal polynomials to produce an operational matrix of derivatives or integration, which transforms complicated FDEs into a system of linear or nonlinear algebraic equations.…”
Section: Introductionmentioning
confidence: 99%