org.apache.commons.math3.analysis.interpolation

## Class NevilleInterpolator

- java.lang.Object
- - org.apache.commons.math3.analysis.interpolation.NevilleInterpolator

- All Implemented Interfaces:
    Serializable, UnivariateInterpolator

      public class NevilleInterpolator
      extends Object
      implements UnivariateInterpolator, Serializable

  Implements the Neville's Algorithm for interpolation of real univariate functions. For reference, see Introduction to Numerical Analysis, ISBN 038795452X, chapter 2.

  The actual code of Neville's algorithm is in PolynomialFunctionLagrangeForm, this class provides an easy-to-use interface to it.

  Since:
    1.2
  Version:
    $Id: NevilleInterpolator.java 1379904 2012-09-01 23:54:52Z erans $
  See Also:
    Serialized Form

- - ### Constructor Summary

    Constructors
    Constructor and Description
    `NevilleInterpolator()`

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `PolynomialFunctionLagrangeForm` | `interpolate(double[] x, double[] y)` Computes an interpolating function for the data set.

    - ### Methods inherited from class java.lang.Object

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

- - ### Constructor Detail

    - #### NevilleInterpolator

          public NevilleInterpolator()

  - ### Method Detail

    - #### interpolate

          public PolynomialFunctionLagrangeForm interpolate(double[] x,
                                                   double[] y)
                                                     throws DimensionMismatchException,
                                                            NumberIsTooSmallException,
                                                            NonMonotonicSequenceException

      Computes an interpolating function for the data set.
      Specified by:
        `interpolate` in interface `UnivariateInterpolator`
      Parameters:
        `x` - Interpolating points.
        `y` - Interpolating values.
      Returns:
        a function which interpolates the data set
      Throws:
        `DimensionMismatchException` - if the array lengths are different.
        `NumberIsTooSmallException` - if the number of points is less than 2.
        `NonMonotonicSequenceException` - if two abscissae have the same value.

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