DenseWeightedEvaluation

java.lang.Object
- org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
- - org.apache.commons.math3.fitting.leastsquares.DenseWeightedEvaluation

All Implemented Interfaces:

LeastSquaresProblem.Evaluation
```
class DenseWeightedEvaluation
extends AbstractEvaluation
```
Applies a dense weight matrix to an evaluation.

Since:

3.3

Field Summary

Fields
Modifier and Type	Field	Description
`private LeastSquaresProblem.Evaluation`	`unweighted`	the unweighted evaluation
`private RealMatrix`	`weightSqrt`	reference to the weight square root matrix

Constructor Summary

Constructors
Constructor	Description
`DenseWeightedEvaluation(LeastSquaresProblem.Evaluation unweighted, RealMatrix weightSqrt)`	Create a weighted evaluation from an unweighted one.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`RealMatrix`	`getJacobian()`	Get the weighted Jacobian matrix.
`RealVector`	`getPoint()`	Get the abscissa (independent variables) of this evaluation.
`RealVector`	`getResiduals()`	Get the weighted residuals.

Methods inherited from class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
getCost, getCovariances, getRMS, getSigma

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - unweighted
```
private final LeastSquaresProblem.Evaluation unweighted
```
    the unweighted evaluation
  - weightSqrt
```
private final RealMatrix weightSqrt
```
    reference to the weight square root matrix
- Constructor Detail
  - DenseWeightedEvaluation
```
DenseWeightedEvaluation(LeastSquaresProblem.Evaluation unweighted,
                        RealMatrix weightSqrt)
```
    Create a weighted evaluation from an unweighted one.
    
    Parameters:
    
    unweighted - the evalutation before weights are applied
    
    weightSqrt - the matrix square root of the weight matrix
- Method Detail
  - getJacobian
```
public RealMatrix getJacobian()
```
    Get the weighted Jacobian matrix.
    
    Returns:
    
    the weighted Jacobian: W^1/2 J.
  - getResiduals
```
public RealVector getResiduals()
```
    Get the weighted residuals. The residual is the difference between the observed (target) values and the model (objective function) value. There is one residual for each element of the vector-valued function. The raw residuals are then multiplied by the square root of the weight matrix.
    
    Returns:
    
    the weighted residuals: W^1/2 K.
  - getPoint
```
public RealVector getPoint()
```
    Get the abscissa (independent variables) of this evaluation.
    
    Returns:
    
    the point provided to LeastSquaresProblem.evaluate(RealVector).