Extrapolation of a 2D data table with 3 input variables
7 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
I have a table 'V' that is m x n dimensions. However, the m dimension is dependont on (x,y) and the n dimension is dependent on z. I am able to interpolate data in the table by using griddata. Where
griddata(x_grid, y_grid, z_grid, V)
x_grid, y_grid_ and z_grid are mxn double arrays that contain the specific x y and z coordinates.
Griddata allows me to interpolate between points within the dataset but I would also like to extrapolate data as well. Any help would be greatly appreciated. I have had no luck with griddedInterpoant or scatteredInterpolant: I get the following errors:
griddedInterpolant(x_grid,y_grid,z_grid,V, 'linear', 'linear')
"Error using griddedInterpolant
The number of input coordinate arrays does not equal the number of dimensions (NDIMS) of these arrays"
K>> scatteredInterpolant({x_grid,y_grid,z_grid},V)
Error using scatteredInterpolant
The input points must be a double array.
.
0 Commenti
Risposte (1)
Githin John
il 27 Gen 2020
The scatteredInterpolant function takes the x_grid, y_grid and z_grid inputs as column vectors. You can provide the inputs in that form rather than a mxn array.
For griddedInterpolation, the x_grid, y_grid and z_grid values should be something like those generated using ndgrid.
For more information on the format of inputs, you can check the examples section in the documentation.
Vedere anche
Categorie
Scopri di più su Numeric Types in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!