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A predictor-corrector method for a certain class of stiff differential equations

Authors: Karl G. Guderley and Chen-chi Hsu
Journal: Math. Comp. 26 (1972), 51-69
MSC: Primary 65M99
MathSciNet review: 0298952
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Abstract: In stiff systems of linear ordinary differential equations, certain elements of the matrix describing the system are very large. Sometimes, e.g., in treating partial differential equations, the problem can be formulated in such a manner that large elements appear only in the main diagonal. Then the elements causing stiffness can be taken into account analytically. This is the basis of the predictor-corrector method presented here. The truncation error can be estimated in terms of the difference between predicted and corrected values in nearly the same manner as for the customary predictor-corrector method. The question of stability, which is crucial for stiff equations, is first studied for a single equation; as expected, the method is much more stable than the usual predictor- corrector method. For systems of equations, sufficient conditions for stability are derived which require less work than a detailed stability analysis. The main tool is a matrix norm which is consistent with a weighted infinity vector norm. The choice of the weights is critical. Their determination leads to the question whether a certain matrix has a positive inverse.

References [Enhancements On Off] (What's this?)

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Keywords: Predictor-corrector method, stiff differential equations, interval control, stability, weighted infinity vector norm
Article copyright: © Copyright 1972 American Mathematical Society

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