Abstract
Adaptive algorithm consists of many different parameters. For example, adaptive index, adaptive criterion and stopping criterion. The adaptivity index drives the adaptive algorithm by selecting some elements for further refinement. Apart from the driving force, another important aspect of an algorithm is its stopping criteria. We present a new stopping criterion for adaptive algorithm.
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Khattri, S.K. (2008). Stopping Criterion for Adaptive Algorithm. In: Bubak, M., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2008. ICCS 2008. Lecture Notes in Computer Science, vol 5101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69384-0_109
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DOI: https://doi.org/10.1007/978-3-540-69384-0_109
Publisher Name: Springer, Berlin, Heidelberg
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