Least Squares Fitting Method Based on Bivariate Nonuniform <i>B</i>-Spline and Its Applications in Surveying Engineering

dc.contributor.author	Jian-Feng Guo
dc.contributor.author	Qing-Ming Gui
dc.contributor.author	Yuan-Xi Yang
dc.date.accessioned	2017-05-08T21:01:38Z
dc.date.available	2017-05-08T21:01:38Z
dc.date.copyright	August 2003
dc.date.issued	2003
dc.identifier.other	%28asce%290733-9453%282003%29129%3A3%28105%29.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl/handle/yetl/35874
dc.description.abstract	As a well-known numerical approximation method, the least squares fitting method is widely applied in surveying engineering. The most important and difficult problem in this method is to determine the type of base function to be used, and polynomial is the most frequently used type. But if the degree of polynomial is too high (⩾7), the normal equations are usually ill-conditioned. When we choose the uniform
dc.publisher	American Society of Civil Engineers
dc.title	Least Squares Fitting Method Based on Bivariate Nonuniform <i>B</i>-Spline and Its Applications in Surveying Engineering
dc.type	Journal Paper
dc.journal.volume	129
dc.journal.issue	3
dc.journal.title	Journal of Surveying Engineering
dc.identifier.doi	10.1061/(ASCE)0733-9453(2003)129:3(105)
dc.tree	Journal of Surveying Engineering:;2003:;Volume ( 129 ):;issue: 003
dc.contenttype	Fulltext