private static class LeastSquaresFactory.LocalLeastSquaresProblem.LazyUnweightedEvaluation extends AbstractEvaluation
Modifier and Type | Field and Description |
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private ValueAndJacobianFunction |
model
Model and Jacobian functions.
|
private RealVector |
point
Point of evaluation.
|
private RealVector |
target
Target values for the model function at optimum.
|
Modifier | Constructor and Description |
---|---|
private |
LazyUnweightedEvaluation(ValueAndJacobianFunction model,
RealVector target,
RealVector point)
Create an
LeastSquaresProblem.Evaluation with no weights. |
Modifier and Type | Method and Description |
---|---|
RealMatrix |
getJacobian()
Get the weighted Jacobian matrix.
|
RealVector |
getPoint()
Get the abscissa (independent variables) of this evaluation.
|
RealVector |
getResiduals()
Get the weighted residuals.
|
getCost, getCovariances, getRMS, getSigma
private final RealVector point
private final ValueAndJacobianFunction model
private final RealVector target
private LazyUnweightedEvaluation(ValueAndJacobianFunction model, RealVector target, RealVector point)
LeastSquaresProblem.Evaluation
with no weights.model
- the model functiontarget
- the observed valuespoint
- the abscissapublic RealMatrix getJacobian()
public RealVector getPoint()
LeastSquaresProblem.evaluate(RealVector)
.public RealVector getResiduals()