On an iterative improvement of the approximate solution of some ordinary differential equations

Let us consider a system of ODE's of the form F(x,y,y′,y″) = 0 where y and F are vector functions. By introducing an operator T such that Tu = F(x,u,u′,u″″) we have Ty = θ. Assuming that y° is an approximation of the solution y(x) a generalization of Newton's method can be applied to impro...

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Autores principales: Zadunaisky, P.E., Lafferriere, G.
Formato: JOUR
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_08981221_v6_n1_p147_Zadunaisky
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spelling todo:paper_08981221_v6_n1_p147_Zadunaisky2023-10-03T15:44:00Z On an iterative improvement of the approximate solution of some ordinary differential equations Zadunaisky, P.E. Lafferriere, G. Let us consider a system of ODE's of the form F(x,y,y′,y″) = 0 where y and F are vector functions. By introducing an operator T such that Tu = F(x,u,u′,u″″) we have Ty = θ. Assuming that y° is an approximation of the solution y(x) a generalization of Newton's method can be applied to improve, under certain conditions, such approximation by the recursive algorithm yi+1=yi- T′-1 (y′) Ty(i = 0,1,2,...). In the present case we use such an approach in a numerical fashion as follows. After obtaining by any method of integration numerical approximations yn on a discrete set of points xn(n = 1,2,..., N) we interpolate them by a convenient function R(x). By taking this interpolant as the first analytical approximation Newton's process is applied pointwise in order to correct by iterations the discrete approximations yn. This procedure may become rapidly convergent especially in some stiff problems where we have obtained so far promissing results. © 1980. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_08981221_v6_n1_p147_Zadunaisky
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
description Let us consider a system of ODE's of the form F(x,y,y′,y″) = 0 where y and F are vector functions. By introducing an operator T such that Tu = F(x,u,u′,u″″) we have Ty = θ. Assuming that y° is an approximation of the solution y(x) a generalization of Newton's method can be applied to improve, under certain conditions, such approximation by the recursive algorithm yi+1=yi- T′-1 (y′) Ty(i = 0,1,2,...). In the present case we use such an approach in a numerical fashion as follows. After obtaining by any method of integration numerical approximations yn on a discrete set of points xn(n = 1,2,..., N) we interpolate them by a convenient function R(x). By taking this interpolant as the first analytical approximation Newton's process is applied pointwise in order to correct by iterations the discrete approximations yn. This procedure may become rapidly convergent especially in some stiff problems where we have obtained so far promissing results. © 1980.
format JOUR
author Zadunaisky, P.E.
Lafferriere, G.
spellingShingle Zadunaisky, P.E.
Lafferriere, G.
On an iterative improvement of the approximate solution of some ordinary differential equations
author_facet Zadunaisky, P.E.
Lafferriere, G.
author_sort Zadunaisky, P.E.
title On an iterative improvement of the approximate solution of some ordinary differential equations
title_short On an iterative improvement of the approximate solution of some ordinary differential equations
title_full On an iterative improvement of the approximate solution of some ordinary differential equations
title_fullStr On an iterative improvement of the approximate solution of some ordinary differential equations
title_full_unstemmed On an iterative improvement of the approximate solution of some ordinary differential equations
title_sort on an iterative improvement of the approximate solution of some ordinary differential equations
url http://hdl.handle.net/20.500.12110/paper_08981221_v6_n1_p147_Zadunaisky
work_keys_str_mv AT zadunaiskype onaniterativeimprovementoftheapproximatesolutionofsomeordinarydifferentialequations
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