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Interpolate differently along different directions

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I have a field (V) which is defined on a meshgrid X,Y,Z,V and a set of point on which I want the interpolated field, but I want it to be interpolated along x whith the nearest method (because of some conservation properties of the fields) and along z and y with the linear method is it possible? Can you provide a simple example. Thank you in advance
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Star Strider
Star Strider il 24 Mag 2024
See if the interpn function will work to solve your problem. You apparently have a 4-D gridded matrix, and interpn may be appropriate for what I believe you want to do. See the documentation for examples.
Andrea Somma
Andrea Somma il 24 Mag 2024
The grid is 3d V is the value of the field on each point, interpn does not permit to split the interpolation method along coordinates as far as I know

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Aneela
Aneela il 5 Giu 2024
Hi Andrea,
“interpn” allows for interpolating within an N-dimensional space but assumes the same type of interpolation across all dimensions.
It does not support using different interpolation methods for different dimensions in a single call.
However, it is possible to interpolate along x with “nearest” method and along y and z with “linear” method manually.
Here’s a workaround:
[X, Y, Z] = meshgrid(1:10, 1:10, 1:10); % Original grid coordinates
V = sin(X) + cos(Y) + sin(Z);
% Define target points
Xq = [3.5, 4.5, 5.5];
Yq = [2.5, 7.5, 4.5];
Zq = [1.5, 8.5, 5.5];
% Nearest interpolation along X
% For nearest neighbor along X, we find the closest X grid point for each query point
[~, idx] = min(abs(X(1,:,1) - Xq'), [], 2); % Find indices of nearest X grid points
Vq = zeros(size(Xq));
for i = 1:length(Xq)
% Extract a 2D slice at the nearest X.
V_slice = squeeze(V(:, idx(i), :));
[Y_grid, Z_grid] = meshgrid(1:10, 1:10);
% Linear interpolation on the slice along Y and Z
Vq(i) = interp2(Y_grid, Z_grid, V_slice, Yq(i), Zq(i), 'linear');
end
% Display the interpolated values
disp('Interpolated values at query points:');
Interpolated values at query points:
disp(Vq);
0.7284 -0.4619 -1.1949

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