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- W411878498 abstract "It is shown that whenever the multiplicative normalization of a fitting function is not known, least square fitting by χ2 minimization can be performed with one parameter less than usual by converting the normalization parameter into a function of the remaining parameters and the data. Program title: FITM1 Catalogue identifier: AEYG_v1_0 Program summary URL:http://cpc.cs.qub.ac.uk/summaries/AEYG_v1_0.html Program obtainable from: CPC Program Library, Queen’s University, Belfast, N. Ireland Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 354261 No. of bytes in distributed program, including test data, etc.: 2627533 Distribution format: tar.gz Programming language: Fortran 77 with standard extensions (tested with g95 on a Mac). Computer: Any which supports a Fortran 77 compatible compiler. Operating system: Any with a Fortran 77 compatible compiler. RAM: 1 Mbyte Classification: 4.9. Nature of problem: Least square minimization when one of the free parameters is the multiplicative normalization of the fitting function. Solution method: Conversion of the normalization constant into a function of the other parameters and the data, resulting into one explicit fitting parameter less. Running time: Less than 1 s on modern PCs" @default.
- W411878498 created "2016-06-24" @default.
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- W411878498 date "2016-03-01" @default.
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- W411878498 title "Least square fitting with one explicit parameter less" @default.
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- W411878498 doi "https://doi.org/10.1016/j.cpc.2015.09.021" @default.
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