Matlab fit extrapolation. Curve Fitting Toolbox allows you to choose an extrapolation method for surface fits that use linear, nearest neighbor, or cubic spline interpolation. Using interp1 there's no way you can get anything other than constant-value extrapolation. g. This MATLAB function returns interpolated values of a 1-D function at specific query points. You should probably look for something like a function fit instead. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing. This is very evident in the image below: How did I get this image? I fixed the following problems with your code: You are interpolating log10(y) vs x. After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives. Extrapolation Using Cubic Spline Extrapolate a data set to predict population growth. The extrapolation method you use depends on several factors, including the characteristics of the data being fit, the required smoothness of the curve, and post-fit analysis requirements. cvymv kwzkl qwh ljko dknbp igkih jmtpcqzv hhr tcajw fsenlgdw