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A procedure for nonlinear least squares refinement in adverse practical conditions
datasetposted on 06.12.2019 by J. Lang, R. Müller
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Title of program: NONLINEAR LEAST SQUARES FIT Catalogue Id: ABGA_v1_0 Nature of problem To determine optimum values of a set of parameters for the best agreement (in a least squares sense) between a given set of (experimental) values and corresponding calculated (theoretical) values where these values may be nonlinearly dependent on the parameters. CORRECTION SUMMARY: Vol:Year:Page 5:1973:308 "000A CORRECTION 20/11/72" "A procedure for nonlinear least squares refinement in adverse practical conditions. (C.P.C. 2(1971)79)." J. Lang; R. Muller Note: correction instructions are contained in source code Versions of this program held in the CPC repository in Mendeley Data ABGA_v1_0; NONLINEAR LEAST SQUARES FIT; 10.1016/0010-4655(71)90017-8 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)