The 'v5cubic' and 'cubic' interpolation methods now perform the same type of interpolation, which is consistent with the behavior of interp2, interp3, and interpn. The cubic convolution …

This MATLAB function returns interpolated values of a function of n variables at specific query points using linear interpolation.

Interpolation is a technique for adding new data points within a range of a set of known data points. You can use interpolation to fill-in missing data, smooth existing data, make …

Query points, specified as a column vector. The query points are locations where interp1q uses linear interpolation to determine the approximate value of the function represented by Y. …

Vq = interp2(X,Y,V,Xq,Yq) returns interpolated values of a function of two variables at specific query points using linear interpolation. The results always pass through the original sampling …

For curve data, you can set Interpolation method to Linear, Nearest neighbor, Cubic spline, or Shape-preserving (PCHIP). For surface data, you can set Interpolation method to Linear , …

Use griddedInterpolant to perform interpolation on a 1-D, 2-D, 3-D, or N-D gridded data set. To interpolate using a single set of values, x and v must be vectors of the same length.

Vq = interp3(X,Y,Z,V,Xq,Yq,Zq) returns interpolated values of a function of three variables at specific query points using linear interpolation. The results always pass through the original …

Piecewise linear interpolation is implemented in piecelin.m. The input u can be a vector of points where the interpolant is to be evaluated, so the index k is actually a vector of indices. Read …

Jun 9, 2023 · Finally, the interp1 function is called to compute the best estimate of the output state Y based on linear interpolation between the points in the table. The function takes the input …