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Liam Healy authored
Moved gsl-mfunction, def-mfunction, and gsl-mfunction-fdf from roots-multi.lisp to generic.lisp because they are common to several files in the solve-minimize-fit module. Made arguments default instead of required in #'linear-mfit, linear-mfit-svd, weighted-linear-mfit, weighted-linear-mfit-svd. Most of these do not have examples, so untested. This required new functions #'default-covariance, #'default-lls-workspace. Renamed examples to #'linear-least-squares-univariate-example and #'linear-least-squares-multivariate-example, and changed to 'print-details. Revised definitions in nonlinear least squares to streamline data flow; there is no setup function or global pre-declaration of the number of parameters or observations required anymore. The example function now called nonlinear-least-squares-example will take the number of observations and the fitter method as optional arguments.
Liam Healy authoredMoved gsl-mfunction, def-mfunction, and gsl-mfunction-fdf from roots-multi.lisp to generic.lisp because they are common to several files in the solve-minimize-fit module. Made arguments default instead of required in #'linear-mfit, linear-mfit-svd, weighted-linear-mfit, weighted-linear-mfit-svd. Most of these do not have examples, so untested. This required new functions #'default-covariance, #'default-lls-workspace. Renamed examples to #'linear-least-squares-univariate-example and #'linear-least-squares-multivariate-example, and changed to 'print-details. Revised definitions in nonlinear least squares to streamline data flow; there is no setup function or global pre-declaration of the number of parameters or observations required anymore. The example function now called nonlinear-least-squares-example will take the number of observations and the fitter method as optional arguments.