کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1702743 1012354 2016 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Operation matrix method based on Bernstein polynomials for the Riccati differential equation and Volterra population model
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
Operation matrix method based on Bernstein polynomials for the Riccati differential equation and Volterra population model
چکیده انگلیسی


• We present an exact formulation for the operational matrix.
• This method transforms the original problem into an algebraic equations system.
• Riccati equation and Volterra population model are solved by new method.

In this study, we present a modified configuration, including an exact formulation, for the operational matrix form of the integration, differentiation, and product operators applied in the Galerkin method. Previously, many studies have investigated the methods for obtaining operational matrices (derivative, integral, and product) for Fourier, Chebyshev, Legendre, and Jacobi polynomials, and some have considered the non-orthogonal bases that almost all of them operate on approximately. However, in this study, we aim to obtain the exact operational matrices (EOMs), which can be used for many classes of orthogonal and non-orthogonal polynomials. Similar to previous approaches, this method transforms the original problem into a system of nonlinear algebraic equations. To retain the simplicity of the procedure, the samples are considered in one-dimensional contexts, although the proposed technique can also be employed for two- and three-dimensional problems. Two examples are presented to verify the accuracy of the proposed new approach and to demonstrate the superior performance of EOMs compared with ordinary operational matrices. The corresponding results demonstrate the increased accuracy of the new method. In addition, the convergence of the EOM method is studied numerically and analytically to prove the efficiency of the method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematical Modelling - Volume 40, Issue 2, 15 January 2016, Pages 993–1011
نویسندگان
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