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I was wondering if someone can help me with 4D interpolation. Basically, I have 8 sets of 3D data. For example mass =10 g has a 3D cartesian data associated with, then mass=40g has another set of data, and so on. I need to fill in the gaps so I can find data corresponding to mass =20 g, 30g and so on. Would 'interpn' work here?
Richard Crozier on 21 Mar 2011
you could fit a 4D polynomial to the data using polyfitn from the file exchange (<http://www.mathworks.com/matlabcentral/fileexchange/10065-polyfitn>) and use this as the interpolation by evaluating it at your desired points.