1983
DOI: 10.1090/s0025-5718-1983-0701622-9
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An extension of Ortiz’ recursive formulation of the tau method to certain linear systems of ordinary differential equations

Abstract: Abstract. Ortiz' step-by-step recursive formulation of the Lanczos tau method is extended to the numerical solution of linear systems of differential equations with polynomial coefficients.Numerical comparisons are made with Gear's and Enright's methods.

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Cited by 10 publications
(2 citation statements)
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“…The recursive approach of Tau method was firstly introduced in 1969 by Ortiz [7] to solve a class of ordinary differential equations, and was extended for solving a system of ODE's in [24,33]. This method firstly considered the approximate solution as a linear combination of some suitable functions called canonical polynomials which are calculated recursively, and secondly transformed the underlying problem to an equivalent system of algebraic equations.…”
Section: Introductionmentioning
confidence: 99%
“…The recursive approach of Tau method was firstly introduced in 1969 by Ortiz [7] to solve a class of ordinary differential equations, and was extended for solving a system of ODE's in [24,33]. This method firstly considered the approximate solution as a linear combination of some suitable functions called canonical polynomials which are calculated recursively, and secondly transformed the underlying problem to an equivalent system of algebraic equations.…”
Section: Introductionmentioning
confidence: 99%
“…Initially developed for linear differential problems with polynomial coefficients, it has been used to solve broader mathematical formulations: functional coefficients, nonlinear differential and integro-differential equations. Several studies applying the tau method have been performed to approximate the solution of differential linear and non-linear equations [2,7], partial differential equations [8,9] and integro-differential equations [1,11], among others. Nevertheless, in all these works the tau method is tuned for the approximation of specific problems and not offered as a general purpose numerical tool.…”
Section: Introductionmentioning
confidence: 99%