org.apache.commons.math3.optimization.fitting

## Class PolynomialFitter

• Deprecated.
As of 3.1 (to be removed in 4.0).

@Deprecated
public class PolynomialFitter
extends CurveFitter<PolynomialFunction.Parametric>
Polynomial fitting is a very simple case of curve fitting. The estimated coefficients are the polynomial coefficients (see the fit method).
Since:
2.0
Version:
$Id: PolynomialFitter.java 1422313 2012-12-15 18:53:41Z psteitz$
• ### Constructor Summary

Constructors
Constructor and Description
PolynomialFitter(DifferentiableMultivariateVectorOptimizer optimizer)
Deprecated.
Simple constructor.
PolynomialFitter(int degree, DifferentiableMultivariateVectorOptimizer optimizer)
Deprecated.
Since 3.1 (to be removed in 4.0). Please use PolynomialFitter(DifferentiableMultivariateVectorOptimizer) instead.
• ### Method Summary

Methods
Modifier and Type Method and Description
double[] fit()
Deprecated.
Since 3.1 (to be removed in 4.0). Please use fit(double[]) instead.
double[] fit(double[] guess)
Deprecated.
Get the coefficients of the polynomial fitting the weighted data points.
double[] fit(int maxEval, double[] guess)
Deprecated.
Get the coefficients of the polynomial fitting the weighted data points.
• ### Methods inherited from class org.apache.commons.math3.optimization.fitting.CurveFitter

addObservedPoint, addObservedPoint, addObservedPoint, clearObservations, fit, fit, getObservations
• ### Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
• ### Constructor Detail

• #### PolynomialFitter

@Deprecated
public PolynomialFitter(int degree,
DifferentiableMultivariateVectorOptimizer optimizer)
Deprecated. Since 3.1 (to be removed in 4.0). Please use PolynomialFitter(DifferentiableMultivariateVectorOptimizer) instead.
Simple constructor.

The polynomial fitter built this way are complete polynomials, ie. a n-degree polynomial has n+1 coefficients.

Parameters:
degree - Maximal degree of the polynomial.
optimizer - Optimizer to use for the fitting.
• #### PolynomialFitter

public PolynomialFitter(DifferentiableMultivariateVectorOptimizer optimizer)
Deprecated.
Simple constructor.
Parameters:
optimizer - Optimizer to use for the fitting.
Since:
3.1
• ### Method Detail

• #### fit

@Deprecated
public double[] fit()
Deprecated. Since 3.1 (to be removed in 4.0). Please use fit(double[]) instead.
Get the polynomial fitting the weighted (x, y) points.
Returns:
the coefficients of the polynomial that best fits the observed points.
Throws:
ConvergenceException - if the algorithm failed to converge.
• #### fit

public double[] fit(int maxEval,
double[] guess)
Deprecated.
Get the coefficients of the polynomial fitting the weighted data points. The degree of the fitting polynomial is guess.length - 1.
Parameters:
guess - First guess for the coefficients. They must be sorted in increasing order of the polynomial's degree.
maxEval - Maximum number of evaluations of the polynomial.
Returns:
the coefficients of the polynomial that best fits the observed points.
Throws:
TooManyEvaluationsException - if the number of evaluations exceeds maxEval.
ConvergenceException - if the algorithm failed to converge.
Since:
3.1
• #### fit

public double[] fit(double[] guess)
Deprecated.
Get the coefficients of the polynomial fitting the weighted data points. The degree of the fitting polynomial is guess.length - 1.
Parameters:
guess - First guess for the coefficients. They must be sorted in increasing order of the polynomial's degree.
Returns:
the coefficients of the polynomial that best fits the observed points.
Throws:
ConvergenceException - if the algorithm failed to converge.
Since:
3.1