Efficient Nonlinear Parameter Estimation for Exponential Type, Least Square Approximation

dc.contributor.author	Greenspan, Donald	en
dc.date.accessioned	2010-06-08T16:43:47Z	en
dc.date.available	2010-06-08T16:43:47Z	en
dc.date.issued	1985-03	en
dc.identifier.uri	http://hdl.handle.net/10106/2375	en
dc.description.abstract	Please note that the full text is embargoed ABSTRACT: A computer algorithm is described for fitting data sets by least squares to the functions [see pdf for notation]. A non matrix form of Newton's method is utilized which is economical, easily implementable, and exceptionally fast. Computer examples are described and discussed.	en
dc.language.iso	en_US	en
dc.publisher	University of Texas at Arlington	en
dc.relation.ispartofseries	Technical Report;229	en
dc.subject	Computer algorithm	en
dc.subject	Newton's method	en
dc.subject	Nonlinear parameter estimation	en
dc.subject.lcsh	Mathematical statistics	en
dc.subject.lcsh	Mathematics Research	en
dc.title	Efficient Nonlinear Parameter Estimation for Exponential Type, Least Square Approximation	en
dc.type	Technical Report	en
dc.publisher.department	Department of Mathematics	en