public interface LeastSquaresProblem extends OptimizationProblem<LeastSquaresProblem.Evaluation>
Includes the observed values, computed model function, and
convergence/divergence criteria. Weights are implicit in LeastSquaresProblem.Evaluation.getResiduals()
and LeastSquaresProblem.Evaluation.getJacobian()
.
Instances are typically either created progressively using a builder
or created at once using a factory
.
LeastSquaresBuilder
,
LeastSquaresFactory
,
LeastSquaresAdapter
Modifier and Type | Interface and Description |
---|---|
static interface |
LeastSquaresProblem.Evaluation
An evaluation of a
LeastSquaresProblem at a particular point. |
Modifier and Type | Method and Description |
---|---|
LeastSquaresProblem.Evaluation |
evaluate(RealVector point)
Evaluate the model at the specified point.
|
int |
getObservationSize()
Get the number of observations (rows in the Jacobian) in this problem.
|
int |
getParameterSize()
Get the number of parameters (columns in the Jacobian) in this problem.
|
RealVector |
getStart()
Gets the initial guess.
|
getConvergenceChecker, getEvaluationCounter, getIterationCounter
RealVector getStart()
int getObservationSize()
int getParameterSize()
LeastSquaresProblem.Evaluation evaluate(RealVector point)
point
- the parameter values.TooManyEvaluationsException
- if the maximal number of evaluations (of the model vector function) is
exceeded.Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.