F = griddedInterpolant(x, v)
F = griddedInterpolant(x, v, method)
F = griddedInterpolant(x, v, method, extrapolationMethod)
F = griddedInterpolant(gridVecs, V)
F = griddedInterpolant(X1, X2, ..., Xn, V)
F = griddedInterpolant(V)
Vq = F(xq)
Vq = F(xq1, xq2, ..., xqn)
Vq = F(queryGridVecs)
| Parameter | Description |
|---|---|
| x | a vector of sample points (1-D grid), strictly increasing. |
| v | sample values at the sample points. |
| gridVecs | a cell array {x1, x2, ..., xn} of grid vectors, one per dimension of V. |
| V | an array of sample values defined over the grid. |
| method | a character vector: 'linear' (default), 'nearest', 'previous', 'next', 'pchip', 'cubic', 'spline', or 'makima'. |
| extrapolationMethod | a character vector selecting the extrapolation rule: 'linear', 'nearest', 'previous', 'next', 'pchip', 'cubic', 'spline', 'makima', or 'none'. The default matches method. |
| Parameter | Description |
|---|---|
| F | a griddedInterpolant object. |
| Vq | interpolated values at the query points. |
griddedInterpolant stores gridded sample points and values for repeated interpolation queries.
The object exposes four properties that can be read and set: GridVectors (a cell array of grid vectors), Values, Method, and ExtrapolationMethod.
Evaluate the interpolant by calling the object like a function, either with one query array per dimension, or with a single cell array of query grid vectors.
The 'cubic' method uses cubic convolution and requires a grid with uniform spacing; on a non-uniform grid it switches to 'spline'. Cubic convolution does not support extrapolation, so query points outside the grid return NaN when ExtrapolationMethod is 'cubic'.
F = griddedInterpolant([1 2 3], [10 20 30]);
Vq = F(2.5)F = griddedInterpolant({1:3, 1:3}, magic(3));
Vq = F(2, 2)F = griddedInterpolant([1 2 3], [10 20 30], 'spline');
Vq = F(2.5);
F.Method
F.ExtrapolationMethod| Version | Description |
|---|---|
| 2.0.0 | Initial version. |