Numerical solution for a family of delay functional differential equations using step by step Tau approximations

We use the segmented formulation of the Tau method to approximate the solutions of a family of linear and nonlinear neutral delay differential equations a<sub>1</sub>(t) y'(t) = y(t)[a<sub>2</sub>(t)] y(t-&#964;) + a<sub>3</sub>(t) y'(t-&#964;)...

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Main Author: René Escalante
Format: Article
Language:English
Published: Universidad Simón Bolívar 2013-12-01
Series:Bulletin of Computational Applied Mathematics
Subjects:
Online Access:http://drive.google.com/open?id=0B5GyVVQ6O030TlY5bzFScENubUU
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spelling doaj-c99ef73563864946beb366f874e45d962020-11-24T20:48:10ZengUniversidad Simón BolívarBulletin of Computational Applied Mathematics2244-86592244-86592013-12-01128191Numerical solution for a family of delay functional differential equations using step by step Tau approximationsRené Escalante0Departamento de Cómputo Científico y Estadística, Universidad Simón Bolívar, Caracas, VenezuelaWe use the segmented formulation of the Tau method to approximate the solutions of a family of linear and nonlinear neutral delay differential equations a<sub>1</sub>(t) y'(t) = y(t)[a<sub>2</sub>(t)] y(t-&#964;) + a<sub>3</sub>(t) y'(t-&#964;) + a<sub>4</sub>(t)] + a<sub>5</sub>(t) y(t-&#964;) + a<sub>6</sub>(t) y'(t-&#964;) + a<sub>7</sub>(t), t &#8805; 0 y(t) = &#936;(t), t &#8804; 0 which represents, for particular values of a<sub>i</sub>(t), i=1,7, and &#964;, functional differential equations that arise in a natural way in different areas of applied mathematics. This paper means to highlight the fact that the step by step Tau method is a natural and promising strategy in the numerical solution of functional differential equations.http://drive.google.com/open?id=0B5GyVVQ6O030TlY5bzFScENubUUAlternating generalized projection methodmethod of generalized projectionmethod of alternating projectionerror sums of distancesproduct vector spacefeasible solutiontrap pointsintersection of sets
collection DOAJ
language English
format Article
sources DOAJ
author René Escalante
spellingShingle René Escalante
Numerical solution for a family of delay functional differential equations using step by step Tau approximations
Bulletin of Computational Applied Mathematics
Alternating generalized projection method
method of generalized projection
method of alternating projection
error sums of distances
product vector space
feasible solution
trap points
intersection of sets
author_facet René Escalante
author_sort René Escalante
title Numerical solution for a family of delay functional differential equations using step by step Tau approximations
title_short Numerical solution for a family of delay functional differential equations using step by step Tau approximations
title_full Numerical solution for a family of delay functional differential equations using step by step Tau approximations
title_fullStr Numerical solution for a family of delay functional differential equations using step by step Tau approximations
title_full_unstemmed Numerical solution for a family of delay functional differential equations using step by step Tau approximations
title_sort numerical solution for a family of delay functional differential equations using step by step tau approximations
publisher Universidad Simón Bolívar
series Bulletin of Computational Applied Mathematics
issn 2244-8659
2244-8659
publishDate 2013-12-01
description We use the segmented formulation of the Tau method to approximate the solutions of a family of linear and nonlinear neutral delay differential equations a<sub>1</sub>(t) y'(t) = y(t)[a<sub>2</sub>(t)] y(t-&#964;) + a<sub>3</sub>(t) y'(t-&#964;) + a<sub>4</sub>(t)] + a<sub>5</sub>(t) y(t-&#964;) + a<sub>6</sub>(t) y'(t-&#964;) + a<sub>7</sub>(t), t &#8805; 0 y(t) = &#936;(t), t &#8804; 0 which represents, for particular values of a<sub>i</sub>(t), i=1,7, and &#964;, functional differential equations that arise in a natural way in different areas of applied mathematics. This paper means to highlight the fact that the step by step Tau method is a natural and promising strategy in the numerical solution of functional differential equations.
topic Alternating generalized projection method
method of generalized projection
method of alternating projection
error sums of distances
product vector space
feasible solution
trap points
intersection of sets
url http://drive.google.com/open?id=0B5GyVVQ6O030TlY5bzFScENubUU
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