Feedback Guided Dynamic Integral Partition

  • Authors:

  • Sabin Tabirca;Tatiana Tabirca;Lawrence Tianruo Yang;Len Freeman

  • Affiliations:

  • University College Cork, Ireland;University College Cork, Ireland;St. Francis Xavier University, Canada;University of Manchester, UK

  • Venue:
  • ISPDC '06 Proceedings of the Proceedings of The Fifth International Symposium on Parallel and Distributed Computing
  • Year:
  • 2006

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Abstract

In this article we introduce a new iterative method for integral partition called the Feedback Guided Dynamic Integral Partition (FGDIP) algorithm. The problem to study is the partition of a definite integral into p identical subintegrals. The method generates iteratively a sequence of integral bounds by re-balancing the previous integral partition to achieve a better one. A simple convergence condition is also proposed. Experimental results show that the proposed method FGDIP achieves better performance than the classical Newton's method.