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interpolation of unevenly sampled points

  • To: mathgroup at
  • Subject: interpolation of unevenly sampled points
  • From: nb at
  • Date: Sat, 23 Jan 93 15:50:40 PST


> All I need is a way to resample a set of  numbers at specific  
> intervals.  Each x has a corresponding y, but the x's are not evenly  
> spaced.  I'd like to space them evenly (so I can plot a surface using  
> Mathematica), using some simple interpolation algorithm.  I'd write a  
> routine myself, but the problems sounds so common I thought someone  
> may already have written it.  However, nothing this simple appears to  
> exist on the Mathematica archive server.

Fit can handle unevenly spaced points, so no need to reinvent the wheel.

Fit[data, funs, vars] finds a least-squares fit to a list
   of data as a linear combination of the functions funs
   of variables vars. The data can have the form {{x1, y1,
   ..., f1}, {x2, y2, ..., f2}, ...}, where the number of
   coordinates x, y, ... is equal to the number of
   variables in the list vars. The data can also be of the
   form {f1, f2, ...}, with a single coordinate assumed to
   take values 1, 2, .... The argument funs can be any
   list of functions that depend only on the objects vars.

In[2]:= Fit[{{2,4.7}, {5, 3.4}, {11, 5.6}, {12, 32.7}}, {1, x, x^2}, x]

18.8197 - 7.23175 x + 0.639707 x


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