Fitting 1-D curve to data points, minimizing pre-defined error/loss function.
Are there any algorithms that will return the equation of a straight line from a set of 3D data points? …
python numpy linear-algebra curve-fittingI previously used Math.NET Numerics library's Fit.Polynomial method to fit a cubic polynomial on a set of data …
c# curve-fitting math.netI have read a post ( Sigmoidal Curve Fit in R ). It was labeled duplicated, but I can't see anything related …
r curve-fittingIn python I have a function which has many parameters. I want to fit this function to a data set, …
python scipy curve-fittingWhat functions do you use in R to fit a curve to your data and test how well that curve …
r statistics curve-fittingIm a programmer that wants to learn how the Levenberg–Marquardt curvefitting algorithm works so that i can implement it …
c algorithm opencl curve-fittingThere are many curve fitting and interpolation tools like polyfit (or even this nice logfit toolbox I found here), but …
matlab curve-fittingExcel produces scatter diagrams for sets of pair values. It also gives the option of producing a best fit trendline …
excel graph excel-formula curve-fitting least-squaresI am trying to get a correct way of fitting a beta distribution. It's not a real world problem i …
python curve-fitting beta-distributionI used to work with MATLAB, and for the question I raised I can use p = polyfit(x,y,1) to …
c++ algorithm matlab curve-fitting linear-regression