Feedback guided dynamic integral partition: a new convergence case

Authors:
Sabin Tabirca;Tatiana Tabirca;Lawrence Tianruo Yang
Affiliations:
University College Cork, Department of Computer Science, BCRI, Cork, Ireland;University College Cork, Department of Computer Science, BCRI, Cork, Ireland;St. Francis Xavier University, Department of Computer Science, Antigonish, Canada
Venue:
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Year:
2006

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Abstract

In this article we introduce a new case for an integral partition method called Feedback Guided Dynamic Integral Partition (FGDIP). The method generates iteratively a sequence of integral bounds by re-balancing the previous integral partition to achieve a better one. The convergence of the bounds is proven when the initial function does not vary too much. Experimental results show that the proposed method FGDIP achieves better performance than the classical Newton's method.