Abstract
The strategy for choosing time steps and mesh sizes is dictated by the a posteriori nature of the global bounds given in Theorem III.1 and Theorem III.2 above. Ideally, an adaptive method should keep the global error below a prescribed tolerance. But global errors are difficult to estimate. Thus, a standard approach is to adjust the discretization parameters during the integration in order to restrict the local truncation error. One would hope that smaller local errors lead also to a decrease of the global error — a property which is known as tolerance proportionality in the pure ODE case [155].
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© 2001 Springer-Verlag Berlin Heidelberg
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Lang, J. (2001). Computational Error Estimation. In: Adaptive Multilevel Solution of Nonlinear Parabolic PDE Systems. Lecture Notes in Computational Science and Engineering, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04484-1_4
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DOI: https://doi.org/10.1007/978-3-662-04484-1_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-08747-9
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