2012
DOI: 10.1016/j.camwa.2012.02.002
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A numeric–analytic method for approximating a giving up smoking model containing fractional derivatives

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Cited by 84 publications
(43 citation statements)
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“…Comparing these two fractional derivatives, one easily arrives at the fact that Caputo derivative of a constant is equal to zero, which is not the case for the Riemann-Liouville derivative [19]. The main concern of the paper thus focuses on the Caputo derivative of order α > 0, which is rather applicable in real application [20,21]. Fractional calculus has previously been used in epidemiological studies [22,23,24,25].…”
Section: Introductionmentioning
confidence: 99%
“…Comparing these two fractional derivatives, one easily arrives at the fact that Caputo derivative of a constant is equal to zero, which is not the case for the Riemann-Liouville derivative [19]. The main concern of the paper thus focuses on the Caputo derivative of order α > 0, which is rather applicable in real application [20,21]. Fractional calculus has previously been used in epidemiological studies [22,23,24,25].…”
Section: Introductionmentioning
confidence: 99%
“…In [10], the authors studied the giving up smoking dynamics using a fractional order model; approximate solutions via Laplace Adomian decomposition method were obtained. The multi-step generalized differential transform method was employed in [9] to obtain accurate solutions to a giving up smoking model of fractional order. The giving up smoking dynamics models have been extended to the scope of fractional derivatives using power law and exponential decay law.…”
Section: Introductionmentioning
confidence: 99%
“…Several methods have been proposed to analytically and numerically solve nonlinear fractional order differential equations including initial value problems (IVPs) and boundary value problems (BVPs). These methods include the Adomian decomposition method (ADM) [9][10][11][12][13][14], the multistep generalized differential transform method (MSGDTM) [15], the Adams-Bashforth-Moulton type predictor-corrector scheme [16], and the Haar wavelet method [17].…”
Section: Introductionmentioning
confidence: 99%