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Proceedings of The Fifth International Symposium on Parallel and Distributed Computing (ISPDC'06)
Feedback Guided Dynamic Integral Partition
Timisoara, Romania
July 06-July 09
ISBN: 0-7695-2638-1
ASCII Text
x 
 
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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