AkimaSplineInterpolator (Apache Commons Math 3.6.1 API)

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

All Implemented Interfaces:

UnivariateInterpolator
```
public class AkimaSplineInterpolator
extends Object
implements UnivariateInterpolator
```
Computes a cubic spline interpolation for the data set using the Akima algorithm, as originally formulated by Hiroshi Akima in his 1970 paper "A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures." J. ACM 17, 4 (October 1970), 589-602. DOI=10.1145/321607.321609 http://doi.acm.org/10.1145/321607.321609
This implementation is based on the Akima implementation in the CubicSpline class in the Math.NET Numerics library. The method referenced is CubicSpline.InterpolateAkimaSorted

The interpolate method returns a PolynomialSplineFunction consisting of n cubic polynomials, defined over the subintervals determined by the x values, x[0] < x[i] ... < x[n]. The Akima algorithm requires that n >= 5.

- Constructor Summary
  
  Constructors
  Constructor and Description
  
  AkimaSplineInterpolator()
- Method Summary
  
  Methods
  Modifier and Type Method and Description
  
  PolynomialSplineFunction interpolate(double[] xvals, double[] yvals)
  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
  - AkimaSplineInterpolator
```
public AkimaSplineInterpolator()
```
- Method Detail
  - interpolate
```
public PolynomialSplineFunction interpolate(double[] xvals,
                                   double[] yvals)
                                     throws DimensionMismatchException,
                                            NumberIsTooSmallException,
                                            NonMonotonicSequenceException
```
    Computes an interpolating function for the data set.
    
    Specified by:
    
    interpolate in interface UnivariateInterpolator
    
    Parameters:
    xvals - the arguments for the interpolation points
    yvals - the values for the interpolation points
    
    Returns:
    a function which interpolates the data set
    
    Throws:
    
    DimensionMismatchException - if xvals and yvals have different sizes.
    
    NonMonotonicSequenceException - if xvals is not sorted in strict increasing order.
    
    NumberIsTooSmallException - if the size of xvals is smaller than 5.

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