An improvement of Laguerre computational scheme for solving nonlinear age-structured population models
Zakieh Avazzadeh, Mohammad Heydari, Shantia Yarahmadian
Abstract
Open-access reader
Zakieh Avazzadeh, Mohammad Heydari, Shantia Yarahmadian
Abstract
Open-access reader
In this paper, we simultaneously implement two kinds of orthogonal polynomials for solving a nonlinear age-structured population model. This non-classic type of partial differential equation is typically defined in large domains that makes finding an accurate solution by common techniques to be difficult. The presented method namely modified generalized Laguerre-Chebyshev (MGLC), which is based on the modified generalized Laguerre functions and Chebyshev orthogonal polynomials provides the spectral accuracy. The theoretical and experimental analysis of the scheme reliability verifies the validity of the proposed method in large domains.
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In this paper, we simultaneously implement two kinds of orthogonal polynomials for solving a nonlinear age-structured population model. This non-classic type of partial differential equation is typically defined in large domains that makes finding an accurate solution by common techniques to be difficult. The presented method namely modified generalized Laguerre-Chebyshev (MGLC), which is based on the modified generalized Laguerre functions and Chebyshev orthogonal polynomials provides the spectral accuracy. The theoretical and experimental analysis of the scheme reliability verifies the validity of the proposed method in large domains.
Key concepts: Laguerre polynomials, Scheme (mathematics), Nonlinear system, Applied mathematics, Mathematics, Population, Computer science, Mathematical analysis