Fitting Nonlinear Models to Biological Data by Marquardt's Algorithm
作者:
Gordon R. Conway,
Norman R. Glass,
Jerome C. Wilcox,
期刊:
Ecology
(WILEY Available online 1970)
卷期:
Volume 51,
issue 3
页码: 503-507
ISSN:0012-9658
年代: 1970
DOI:10.2307/1935386
出版商: Ecological Society of America
数据来源: WILEY
摘要:
Equations describing biological phenomena frequently have parameters entering nonlinearly. A highly efficient method for determining the values of parameters in such equations that will give the best least—squares fit to a set of data is Marquardt's algorithm. A step—by—step derivation of the algorithm is given in terms that require only a knowledge of elementary calculus and matrix algebra. As an example, the method is used to fit the logistic equation to a set of data.
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