Feedback Guided Dynamic Integral Partition

Timisoara, Romania July 06-July 09

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http://doi.ieeecomputersociety.org/10.1109/ISPDC.2006.26

Proceedings of The Fifth Internationa ...

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	Sabin Tabirca, Tatiana Tabirca, Lawrence Tianruo Yang, Len Freeman, "Feedback Guided Dynamic Integral Partition," Parallel and Distributed Computing, International Symposium on, pp. 317-322, Proceedings of The Fifth International Symposium on Parallel and Distributed Computing (ISPDC'06), 2006.

	BibTex	x
	@article{ 10.1109/ISPDC.2006.26, author = {Sabin Tabirca and Tatiana Tabirca and Lawrence Tianruo Yang and Len Freeman}, title = {Feedback Guided Dynamic Integral Partition}, journal ={Parallel and Distributed Computing, International Symposium on}, volume = {0}, year = {2006}, isbn = {0-7695-2638-1}, pages = {317-322}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISPDC.2006.26}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Parallel and Distributed Computing, International Symposium on TI - Feedback Guided Dynamic Integral Partition SN - 0-7695-2638-1 SP317 EP322 A1 - Sabin Tabirca, A1 - Tatiana Tabirca, A1 - Lawrence Tianruo Yang, A1 - Len Freeman, PY - 2006 KW - Integral Partition KW - Convergence KW - Balance. VL - 0 JA - Parallel and Distributed Computing, International Symposium on ER -

Sabin Tabirca, University College Cork, Ireland

Tatiana Tabirca, University College Cork, Ireland

Lawrence Tianruo Yang, St. Francis Xavier University, Canada

Len Freeman, University of Manchester, UK

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.

Index Terms:

Integral Partition, Convergence, Balance.

Citation:

Sabin Tabirca, Tatiana Tabirca, Lawrence Tianruo Yang, Len Freeman, "Feedback Guided Dynamic Integral Partition," ispdc, pp.317-322, Proceedings of The Fifth International Symposium on Parallel and Distributed Computing (ISPDC'06), 2006

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