Vectorized Solution of ODEs in Matlab with Control of Residual and Error

L. F. Shampine ()

Chapter Chapter 11 in Recent Advances in Computational and Applied Mathematics, 2011, pp 259-271 from Springer

Abstract: Abstract Vectorization is very important to the efficiency of computation in the popular problem-solving environment Matlab. Here we develop an explicit Runge–Kutta (7,8) pair of formulas that exploits vectorization. Conventional Runge–Kutta pairs control local error at the end of a step. The new method controls the extended local error at 8 points equally spaced in the span of a step. This is a byproduct of a control of the residual at these points. A new solver based on this pair, odevr7, not only has a very much stronger control of error than the recommended Matlab solver ode45, but on standard sets of test problems, it competes well at modest tolerances and is notably more efficient at stringent tolerances.

Keywords: Matlab; Vectorization; Ordinary differential equations; Initial value problems; 65L05; 65L20 (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-90-481-9981-5_11

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DOI: 10.1007/978-90-481-9981-5_11

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