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Line 221: * [https://web.archive.org/web/20140301154319/http://www3.villanova.edu/maple/misc/mtc1093.html History of the algorithm in SIAM news] * [http://ananth.in/docs/lmtut.pdf A tutorial by Ananth Ranganathan] * K. Madsen, H. B. Nielsen, O. Tingleff, ''[http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/3215/pdf/imm3215.pdf Methods for Non-Linear Least Squares Problems]'' (nonlinear least-squares tutorial; L-M code: [~~http~~https://archive.istoday/~~zEYmi~~20180516200006/http://www2.imm.dtu.dk/projects/hbn_software/marquardt.m analytic Jacobian] [~~http~~https://archive.istoday/~~1nCM2~~20180516200045/http://www2.imm.dtu.dk/projects/hbn_software/SMarquardt.m secant]) * T. Strutz: ''Data Fitting and Uncertainty (A practical introduction to weighted least squares and beyond).'' 2nd edition, Springer Vieweg, 2016, {{isbn\|978-3-658-11455-8}}. * H. P. Gavin, [http://people.duke.edu/~hpgavin/ce281/lm.pdf ''The Levenberg-Marquardt method for nonlinear least-squares curve-fitting problems''] ([[MATLAB]] implementation included)

Levenberg–Marquardt algorithm: Difference between revisions