Open AccessCovalidation of Integral Transforms and Method of Lines in Nonlinear Convection-Diffusion with Mathematica
Author(s) -
Leonardo Santos de Brito Alves,
Renato M. Cotta,
M.D. Mikhailov
Publication year - 2001
Publication title -
revista brasileira de ciências mecânicas
Language(s) - English
Resource type - Journals
ISSN - 0100-7386
DOI - 10.1590/s0100-73862001000300004
Subject(s) - nonlinear system , ode , eigenfunction , mathematics , solver , truncation error , transformation (genetics) , truncation (statistics) , function (biology) , integral equation , method of lines , integral transform , transient (computer programming) , mathematical analysis , computer science , mathematical optimization , differential equation , ordinary differential equation , eigenvalues and eigenvectors , physics , differential algebraic equation , biochemistry , chemistry , statistics , quantum mechanics , evolutionary biology , biology , gene , operating system
The Mathematica system (version 4.0) is employed in the solution of nonlinear difusion and convection-difusion problems, formulated as transient one-dimensional partial diferential equations with potential dependent equation coefficients. The Generalized Integral Transform Technique (GITT) is first implemented for the hybrid numerical-analytical solution of such classes of problems, through the symbolic integral transformation and elimination of the space variable, followed by the utilization of the built-in Mathematica function NDSolve for handling the resulting transformed ODE system. This approach ofers an error-controlled final numerical solution, through the simultaneous control of local errors in this reliable ODE's solver and of the proposed eigenfunction expansion truncation order. For covalidation purposes, the same built-in function NDSolve is employed in the direct solution of these partial diferential equations, as made possible by the algorithms implemented in Mathematica (versions 3.0 and up), based on application of the method of lines. Various numerical experiments are performed and relative merits of each approach are critically pointed out