Feedback guided dynamic integral partition

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

doi:10.1109/ISPDC.2006.26

Feedback guided dynamic integral partition

Sabin Tabirca
, Tatiana Tabirca
, Lawrence Tianruo Yang
, Len Freeman

School of Computer Science and Information Technology

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

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.

Original language	English
Title of host publication	Proceedings - Fifth International Symposium on Parallel and Distributed Computing, ISPDC 2006
Pages	317-322
Number of pages	6
DOIs	https://doi.org/10.1109/ISPDC.2006.26
Publication status	Published - 2006
Event	5th International Symposium on Parallel and Distributed Computing, ISPDC 2006 - Timisoara, Romania Duration: 6 Jul 2006 → 9 Jul 2006

Publication series

Name	Proceedings - Fifth International Symposium on Parallel and Distributed Computing, ISPDC 2006

Conference

Conference	5th International Symposium on Parallel and Distributed Computing, ISPDC 2006
Country/Territory	Romania
City	Timisoara
Period	6/07/06 → 9/07/06

Keywords

Balance
Convergence
Integral partition

Access to Document

10.1109/ISPDC.2006.26

Cite this

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title = "Feedback guided dynamic integral partition",

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.",

keywords = "Balance, Convergence, Integral partition",

author = "Sabin Tabirca and Tatiana Tabirca and Yang, \{Lawrence Tianruo\} and Len Freeman",

year = "2006",

doi = "10.1109/ISPDC.2006.26",

language = "English",

isbn = "0769526381",

series = "Proceedings - Fifth International Symposium on Parallel and Distributed Computing, ISPDC 2006",

pages = "317--322",

booktitle = "Proceedings - Fifth International Symposium on Parallel and Distributed Computing, ISPDC 2006",

note = "5th International Symposium on Parallel and Distributed Computing, ISPDC 2006 ; Conference date: 06-07-2006 Through 09-07-2006",

}

Tabirca, S, Tabirca, T, Yang, LT & Freeman, L 2006, Feedback guided dynamic integral partition. in Proceedings - Fifth International Symposium on Parallel and Distributed Computing, ISPDC 2006., 4021943, Proceedings - Fifth International Symposium on Parallel and Distributed Computing, ISPDC 2006, pp. 317-322, 5th International Symposium on Parallel and Distributed Computing, ISPDC 2006, Timisoara, Romania, 6/07/06. https://doi.org/10.1109/ISPDC.2006.26

Feedback guided dynamic integral partition. / Tabirca, Sabin; Tabirca, Tatiana; Yang, Lawrence Tianruo et al.
Proceedings - Fifth International Symposium on Parallel and Distributed Computing, ISPDC 2006. 2006. p. 317-322 4021943 (Proceedings - Fifth International Symposium on Parallel and Distributed Computing, ISPDC 2006).

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

TY - CHAP

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AU - Tabirca, Tatiana

AU - Yang, Lawrence Tianruo

AU - Freeman, Len

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N2 - 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.

AB - 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.

KW - Balance

KW - Convergence

KW - Integral partition

UR - https://www.scopus.com/pages/publications/34547500496

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DO - 10.1109/ISPDC.2006.26

M3 - Chapter

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T3 - Proceedings - Fifth International Symposium on Parallel and Distributed Computing, ISPDC 2006

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BT - Proceedings - Fifth International Symposium on Parallel and Distributed Computing, ISPDC 2006

T2 - 5th International Symposium on Parallel and Distributed Computing, ISPDC 2006

Y2 - 6 July 2006 through 9 July 2006

ER -

Feedback guided dynamic integral partition

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Keywords

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