Giving interpn vector inputs of unknown dimension

I have been struggling to apply interpn to sets of data of unknown dimension without using a bunch of if statements - not very pretty. I will use the notation from the Matlab documentation rather than copy pasting my codes. Quoting the documentation for interpn:

• Vq = interpn(X1,X2,...,Xn,V,Xq1,Xq2,...,Xqn)
• X1,X2,...,Xn contain the coordinates of the sample points.
• V contains the corresponding function values at each sample point.
• Xq1,Xq2,...,Xqn contain the coordinates of the query points.

For my problem, the dimension n of the interpolation is not fixed. I have a cell X, containing the coordinates of the sample points X1,...,Xn, an n-dimensional vector V, and the vector of query points Xq. Is there a way to split a vector/cell to be given as individual arguments for interpn (or any function for that matter)? So that I could write something like

Vq = interpn(split(X),V,split(Xq))

and Matlab would read in split(X) as X1,X2,...,Xn? My current implementation is very clunky, and is limited to a finite set of n:

if (numel(X) == 1)
        out = interpn(X{1},V,Xq(:,1),'linear');
elseif (numel(X) == 2)
        out = interpn(X{1},X{2},V,Xq(:,1),Xq(:,2),'linear');
elseif (numel(X) == 3)
        out = interpn(X{1},X{2},X{3},V,Xq(:,1),Xq(:,2),Xq(:,3),'linear');
end

Any advice would be great. Thanks.

Answer 1

[Walter Roberson]

XqC = num2cell(Xq,1);   %splits into columns
out = interpn(X{:}, V, XqC{:}, 'linear')

[Ruben Tomlin]

Amazing, this works great. Thank you very much.