DocumentCode :
2802534
Title :
Feedback Guided Dynamic Integral Partition
Author :
Tabirca, Sabin ; Tabirca, Tatiana ; Yang, Lawrence Tianruo ; Freeman, Len
Author_Institution :
Boole Centre for Res. in Informatics, Univ. Coll. Cork
fYear :
2006
fDate :
6-9 July 2006
Firstpage :
317
Lastpage :
322
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 sub-integrals. 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 :
convergence of numerical methods; integral equations; iterative methods; convergence condition; feedback guided dynamic integral partition; iterative method; Computer science; Convergence; Differential equations; Educational institutions; Feedback; Integral equations; Iterative methods; Newton method; Nonlinear equations; Partitioning algorithms; Balance.; Convergence; Integral Partition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Computing, 2006. ISPDC '06. The Fifth International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
0-7695-2638-1
Type :
conf
DOI :
10.1109/ISPDC.2006.26
Filename :
4021943
Link To Document :
بازگشت