Damping–undamping strategies for the Levenberg–Marquardt nonlinear least-squares method | Zendy

M. Lampton | Zendy

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Damping–undamping strategies for the Levenberg–Marquardt nonlinear least-squares method

Author(s) -

M. Lampton

Publication year - 1997

Publication title -

computers in physics

Language(s) - English

Resource type - Journals

eISSN - 1558-4208

pISSN - 0894-1866

DOI - 10.1063/1.168600

Subject(s) - levenberg–marquardt algorithm , nonlinear system , non linear least squares , least squares function approximation , damping ratio , control theory (sociology) , mathematics , computer science , physics , algorithm , estimation theory , vibration , statistics , artificial intelligence , acoustics , artificial neural network , control (management) , quantum mechanics , estimator

The speed of the Levenberg–Marquardt (LM) nonlinear iterative least-squares method depends upon the choice of damping strategy when the fitted parameters are highly correlated. Additive damping with small damping increments and large damping decrements permits LM to efficiently solve difficult problems, including those that otherwise cause stagnation. © 1997 American Institute of Physics.

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