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%% Interpolation of Multiple 1-D Value Sets % This example shows how to interpolate three 1-D data sets in a single % pass using |griddedInterpolant|. This is a faster alternative to looping % over your data sets. %% % Define the _x_-coordinates that are common to all value sets. x = (1:5)'; %% % Define the sets of sample points along the columns of matrix V. V = [x, 2*x, 3*x] %% % Create a 2-D grid of sample points. samplePoints = {x, 1:size(V,2)}; %% % This compact notation specifies a full 2-D grid. The first element, % |samplePoints{1}|, contains the _x_-coordinates for |V|, and % |samplePoints{2}| contains the _y_-coordinates. The orientation of each % coordinate vector does not matter. %% % Create the interpolant, |F|, by passing the sample points and sample % values to |griddedInterpolant|. F = griddedInterpolant(samplePoints,V); %% % Create a 2-D query grid with |0.5| spacing along |x| over all columns of % |V|. queryPoints = {(1:0.5:5),1:size(V,2)}; %% % Evaluate the interpolant at the _x_-coordinates for each value set. Vq = F(queryPoints)