Feedback Guided Dynamic Integral Partition; A New Convergence Case
نویسندگان
چکیده
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.
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تاریخ انتشار 2006