Efficient scheme for parametric fitting of data in arbitrary dimensions

淡江大學機構典藏 > 理學院 > 物理學系暨研究所 > 期刊論文 > Item 987654321/27857

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/27857

题名:	Efficient scheme for parametric fitting of data in arbitrary dimensions
作者:	Pang, Ning-Ning;Tzeng, Wen-Jer;Kao, Hisen-Ching
贡献者:	淡江大學物理學系
日期:	2008
上传时间:	2013-07-09 15:20:10 (UTC+8)
出版者:	College Park: American Physical Society
摘要:	We propose an efficient scheme for parametric fitting expressed in terms of the Legendre polynomials. For continuous systems, our scheme is exact and the derived explicit expression is very helpful for further analytical studies. For discrete systems, our scheme is almost as accurate as the method of singular value decomposition. Through a few numerical examples, we show that our algorithm costs much less CPU time and memory space than the method of singular value decomposition. Thus, our algorithm is very suitable for a large amount of data fitting. In addition, the proposed scheme can also be used to extract the global structure of fluctuating systems. We then derive the exact relation between the correlation function and the detrended variance function of fluctuating systems in arbitrary dimensions and give a general scaling analysis.
關聯:	Physical Review E 78(1), 011112(11pages)
DOI:	10.1103/PhysRevE.78.011112
显示于类别:	[物理學系暨研究所] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
1539-3755_78(1)p011112(11pages).pdf		306Kb	Adobe PDF	224	检视/开启
index.html		0Kb	HTML	278	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章