Nonlinear curve-fitting in the and norms

Authors:
Richard L. Shrager and Edward Hill

Journal:
Math. Comp. **34** (1980), 529-541

MSC:
Primary 41A45; Secondary 41A50, 65D10

DOI:
https://doi.org/10.1090/S0025-5718-1980-0559201-X

MathSciNet review:
559201

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Abstract | References | Similar Articles | Additional Information

Abstract: In extending the Levenberg-Marquardt method for nonlinear curve-fitting to the and norms, the following problems arise, but are dealt with successfully:

(1) Trial parameters are generated by linear programming, which can be time-consuming.

(2) Trial parameters are not uniquely specified in some cases.

(3) There are intervals of the search parameter for which the trial parameters remain constant.

(4) In , the trial parameters are discontinuous with respect to the search parameter.

It is shown that linear constraints on the parameters are easily included in the computations. Finally, some numerical results are presented.

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Additional Information

DOI:
https://doi.org/10.1090/S0025-5718-1980-0559201-X

Article copyright:
© Copyright 1980
American Mathematical Society