MLPG method based on moving kriging interpolation for solving convection–diffusion equations with integral condition

التفاصيل البيبلوغرافية
العنوان: MLPG method based on moving kriging interpolation for solving convection–diffusion equations with integral condition
المؤلفون: Nitima Aschariyaphotha, Anirut Luadsong, S. Khankham
المصدر: Journal of King Saud University: Science, Vol 27, Iss 4, Pp 292-301 (2015)
بيانات النشر: Elsevier BV, 2015.
سنة النشر: 2015
مصطلحات موضوعية: Crank–Nicolson, Integral condition, Multidisciplinary, Convection–diffusion equations, Mathematical analysis, MLPG, Mathematics::Numerical Analysis, symbols.namesake, Moving kriging interpolation, Kriging, Kronecker delta, symbols, Test functions for optimization, Crank–Nicolson method, Boundary value problem, Temporal discretization, General, lcsh:Science (General), Convection–diffusion equation, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), ComputingMilieux_MISCELLANEOUS, lcsh:Q1-390, Mathematics, Interpolation
الوصف: A formulation of the meshless local Petrov–Galerkin (MLPG) method based on the moving kriging interpolation (MK) is presented in this paper. The method is used for solving time-dependent convection–diffusion equations in two-dimensional spaces with the Dirichlet, Neumann, and non-local boundary conditions on a square domain. The method is developed based on the moving kriging interpolation method for constructing shape functions which have the Kronecker delta property. In the method, the test function in each sub-domain is chosen as the indicator function. The Crank–Nicolson method is chosen for temporal discretization. Two test problems are presented which demonstrate the easiness and accuracy of this method as shown by the relative error.
تدمد: 1018-3647
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8229f92c0a12884474d3049f82036522
https://doi.org/10.1016/j.jksus.2015.03.001
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....8229f92c0a12884474d3049f82036522
قاعدة البيانات: OpenAIRE