Le dim. 31 juil. 2022 à 03:46, Yaqiang Wang <yaqiang.w...@gmail.com> a écrit : > > Gilles, > > Thanks for your reply! Concretely to the point, I want to implement SciPy > curve_fit function using Java and Jython through Apache commons math > library. Any idea of it?
I guess that your function is multivariate (?); otherwise you'd use the "SimpleCurveFitter" class (from package "o.a.c.math4.legacy.fitting".[1] The non-linear least-squares utility is defined in package "o.a.c.math4.legacy.fitting.leastsquares".[2] This functionality lets the user provide * the (multivariate) function * the Jacobian matrix Do I understand correctly that you want to implement a utility that automatically generates the Jacobian through numerical differentiation of the function? Regards, Gilles [1] https://commons.apache.org/proper/commons-math/commons-math4-legacy/apidocs/org/apache/commons/math4/legacy/fitting/SimpleCurveFitter.html [2] https://commons.apache.org/proper/commons-math/commons-math4-legacy/apidocs/org/apache/commons/math4/legacy/fitting/leastsquares/package-summary.html > > [...] --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@commons.apache.org For additional commands, e-mail: user-h...@commons.apache.org