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A meshless technique based on the radial basis functions for solving systems of partial differential equations | ||
Computational Methods for Differential Equations | ||
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 19 فروردین 1400 اصل مقاله (620.66 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22034/cmde.2021.39707.1740 | ||
نویسندگان | ||
Mehran Nemati1؛ Mahmoud Shafiee ![]() ![]() | ||
1Department of Mathematics, Rasht Branch, Islamic Azad University, Rasht, Iran. | ||
2Department of mathematics, Rasht Branch, Islamic Azad University, Rasht, Iran | ||
چکیده | ||
The radial basis functions (RBFs) methods were first developed by Kansa to approximate partial differential equations (PDEs). The RBFs method is being truly meshfree becomes quite appealing, owing to the presence of distance function, straight-forward implementation, and ease of programming in higher dimensions. Another considerable advantage is the presence of a tunable free shape parameter, contained in most of the RBFs that control the accuracy of the RBFs method. Here, the solution of the two dimensional system of nonlinear partial differential equations is examined numerically by a Global Radial Basis Functions Collocation Method (GRBFCM). It can work on a set of random or uniform nodes with no need for element connectivity of input data. For the time-dependent partial differential equations, a system of ordinary differential equations (ODEs) is derived from this scheme. Like some other numerical methods, a comparison between numerical results with analytical solutions is implemented confirming the efficiency, accuracy, and simple performance of the suggested method. | ||
کلیدواژهها | ||
Global meshless method؛ Method of lines؛ Radial basis functions؛ Partial differential equations | ||
آمار تعداد مشاهده مقاله: 12 تعداد دریافت فایل اصل مقاله: 27 |