2013
DOI: 10.1155/2013/161030
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Legendre Wavelets Method for Solving Fractional Population Growth Model in a Closed System

Abstract: A new operational matrix of fractional order integration for Legendre wavelets is derived. Block pulse functions and collocation method are employed to derive a general procedure for forming this matrix. Moreover, a computational method based on wavelet expansion together with this operational matrix is proposed to obtain approximate solution of the fractional population growth model of a species within a closed system. The main characteristic of the new approach is to convert the problem under study to a nonl… Show more

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Cited by 33 publications
(12 citation statements)
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“…The first criticism of the age-structured model is the conversion of the observed size-class data by age class that is required to reconstruct the matrix size of the catch at age data and indices of abundance age used in most models for pelagic species (Shang, 2013b;Heydari et al, 2013;Megrey 1989). Such conversion is particularly uncertain and generates uncertainty in diagnosed stock assessment for yellow mullet.…”
Section: Discussionmentioning
confidence: 99%
“…The first criticism of the age-structured model is the conversion of the observed size-class data by age class that is required to reconstruct the matrix size of the catch at age data and indices of abundance age used in most models for pelagic species (Shang, 2013b;Heydari et al, 2013;Megrey 1989). Such conversion is particularly uncertain and generates uncertainty in diagnosed stock assessment for yellow mullet.…”
Section: Discussionmentioning
confidence: 99%
“…For that reason, reliable and efficient techniques for the solution of fractional differential equations are indeed required. The most frequently used methods are Walsh functions [5], Laguerre polynomials [6], Fourier series [7], Laplace transform method [8], the Haar wavelets [9], Legendre wavelets [10][11][12], and the Chebyshev wavelets [13,14]. Kronecker operational matrices have been developed by Kilicman and Al Zhour for some applications of fractional calculus [15].…”
Section: Introductionmentioning
confidence: 99%
“…For in this field memory effects are important, hence it is more realistic to use fractional order derivatives, which express the fact that the next state of the system depends not only upon its current state but also upon all of its historical states (see, e.g., [26][27][28]). Moreover, the above type of nonlinear functions arises also in mathematical problems dealing with heat flow in materials with memory and in viscoelastic problems, where the integral term represents the viscosity part; see, for example, [29].…”
Section: Introductionmentioning
confidence: 99%