1988SIAM Journal on Numerical AnalysisRequires access

Error Estimates and Adaptive Time-Step Control for a Class of One-Step Methods for Stiff Ordinary Differential Equations

Claes Johnson

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Abstract

We prove new optimal a priori error estimates for a class of implicit one-step methods for stiff ordinary differential equations obtained by using the discontinuous Galerkin method with piecewise polynomials of degree zero and one. Starting from these estimates we propose a new algorithm for automatic time-step control and we discuss the relation between this algorithm and earlier algorithms implemented in packages for the numerical solution of stiff ordinary differential equations.

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We prove new optimal a priori error estimates for a class of implicit one-step methods for stiff ordinary differential equations obtained by using the discontinuous Galerkin method with piecewise polynomials of degree zero and one. Starting from these estimates we propose a new algorithm for automatic time-step control and we discuss the relation between this algorithm and earlier algorithms implemented in packages for the numerical solution of stiff ordinary differential equations.

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Available abstract

We prove new optimal a priori error estimates for a class of implicit one-step methods for stiff ordinary differential equations obtained by using the discontinuous Galerkin method with piecewise polynomials of degree zero and one. Starting from these estimates we propose a new algorithm for automatic time-step control and we discuss the relation between this algorithm and earlier algorithms implemented in packages for the numerical solution of stiff ordinary differential equations.

Key concepts: Mathematics, Piecewise, Ordinary differential equation, A priori and a posteriori, Galerkin method, Applied mathematics, Explicit and implicit methods, Backward differentiation formula

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