TrivariateGridInterpolator (Apache Commons Math 4.0-SNAPSHOT)

All Known Implementing Classes:

TricubicInterpolator
```
public interface TrivariateGridInterpolator
```
Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid.

Since:

2.2

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`TrivariateFunction`	`interpolate(double[] xval, double[] yval, double[] zval, double[][][] fval)`	Compute an interpolating function for the dataset.

- Method Detail
  - interpolate
```
TrivariateFunction interpolate(double[] xval,
                               double[] yval,
                               double[] zval,
                               double[][][] fval)
                        throws NoDataException,
                               NumberIsTooSmallException,
                               DimensionMismatchException,
                               NonMonotonicSequenceException
```
    Compute an interpolating function for the dataset.
    
    Parameters:
    
    xval - All the x-coordinates of the interpolation points, sorted in increasing order.
    
    yval - All the y-coordinates of the interpolation points, sorted in increasing order.
    
    zval - All the z-coordinates of the interpolation points, sorted in increasing order.
    
    fval - the values of the interpolation points on all the grid knots: fval[i][j][k] = f(xval[i], yval[j], zval[k]).
    
    Returns:
    
    a function that interpolates the data set.
    
    Throws:
    
    NoDataException - if any of the arrays has zero length.
    
    DimensionMismatchException - if the array lengths are inconsistent.
    
    NonMonotonicSequenceException - if arrays are not sorted
    
    NumberIsTooSmallException - if the number of points is too small for the order of the interpolation