MATLAB Mathematics - SERC - Index of

2 Polynomials and Interpolation
Interpolating N-Dimensional Data
Use the griddatan function to interpolate multidimensional data, particularly
scattered data. griddatan uses the delaunayn function to tessellate the data,
and then interpolates based on the tessellation.
Suppose you want to visualize a function that you have evaluated at a set of n
scattered points. In this example, X is an n-by-3 matrix of points, each row
containing the (x,y,z) coordinates for one of the points. The vector v contains
the n function values at these points. The function for this example is the
squared distance from the origin, v = x.^2 + y.^2 + z.^2.
Start by generating n = 5000 points at random in three-dimensional space, and
computing the value of a function on those points:
n = 5000;
X = 2*rand(n,3)-1;
v = sum(X.^2,2);
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