Nonlinear least squares algorithms are discussed in the books of Bates and Watts [3]; Dennis and Schnabel [13]; Fletcher [15]; Gill, Murray, and Wright [18]; and Seber and Wild [35]. The books by Bates and Watts and by Seber and Wild are written from a statistical point of view. Bates and Watts emphasize applications, while Seber and Wild concentrate on computational methods (this book also has a chapter on software considerations). Björck [7] discusses algorithms for linear least squares problems in a comprehensive survey that covers, in particular, sparse least squares problems and nonlinear least squares.
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Updated 28 March 1996
