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ListInterpolation

  • ListInterpolation[ array ] constructs an InterpolatingFunction object which represents an approximate function that interpolates the array of values given.
  • ListInterpolation[ array , xmin , xmax , ymin , ymax , ... ] specifies the domain of the grid from which the values in array are assumed to come.
  • You can replace xmin , xmax etc. by explicit lists of positions for grid lines. The grid lines are otherwise assumed to be equally spaced.
  • ListInterpolation[ array ] assumes grid lines at integer positions in each direction.
  • array can be an array in any number of dimensions, corresponding to a list with any number of levels of nesting.
  • ListInterpolation[ array , domain ] generates an InterpolatingFunction object which returns values with the same precision as those in array , domain .
  • See notes for Interpolation.
  • See the Mathematica book: Section 3.8.2.
  • See also: FunctionInterpolation, ListContourPlot.

    Further Examples

    ListInterpolation is similar to Interpolation, but provides a more convenient interface for data that does not include coordinates and for multidimensional data.
    Here is a table of values of a function on a regular three dimensional grid.

    In[1]:=

    Out[1]=

    This constructs an approximate function that represents these values. There is not enough data in the z direction (only z = 0 and z = 1) for a higher order approximation, so the order in that direction is reduced automatically. (Reducing the order can be done manually; in this case it would have been by specifying the option InterpolationOrder->{3,3,1}.)

    In[2]:=

    ListInterpolation::inhr: Requested order is too high; order has been reduced to {3, 3, 1}.

    Out[2]=

    The approximation reproduces the values at each of the points in the table.

    In[3]:=

    Out[3]=

    You can get approximate values at other points. In this case, the interpolation is a fairly good approximation to the function.

    In[4]:=

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    Here values and derivatives specified at the points , , and . There is not enough data to construct a third order (cubic) polynomial in either the x or the y direction, so the (default) interpolation order of is reduced automatically.

    In[5]:=

    ListInterpolation::inhr: Requested order is too high; order has been reduced to {2, 2}.

    Out[5]=

    Again, the given values are represented by the approximate function.

    In[6]:=

    Out[6]=

    The given derivatives are also represented.

    In[7]:=

    Out[7]=

    Where the derivative was given by Automatic, it is computed automatically by the interpolation.

    In[8]:=

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    You can also get approximate values at other points.

    In[9]:=

    Out[9]=

    Let's clean up by getting rid of the symbols defined in these examples.

    In[10]:=



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