TricubicInterpolator (nosqlbench)

java.lang.Object

org.apache.commons.math4.analysis.interpolation.TricubicInterpolator

All Implemented Interfaces:: TrivariateGridInterpolator

public class TricubicInterpolator
extends java.lang.Object
implements TrivariateGridInterpolator

Generates a tricubic interpolating function.

Since:: 3.4

Constructor Summary

Constructors

Constructor Description

TricubicInterpolator()

Method Summary

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

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details
- TricubicInterpolator
  
  public TricubicInterpolator()
Method Details
- interpolate
  
  public TricubicInterpolatingFunction interpolate(double[] xval, double[] yval, double[] zval, double[][][] fval) throws NoDataException, NumberIsTooSmallException, DimensionMismatchException, NonMonotonicSequenceException
  
  Compute an interpolating function for the dataset.
  
  Specified by:
  
  interpolate in interface TrivariateGridInterpolator
  
  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.
  
  NumberIsTooSmallException - if the number of points is too small for the order of the interpolation
  
  DimensionMismatchException - if the array lengths are inconsistent.
  
  NonMonotonicSequenceException - if arrays are not sorted