Package | Description |
---|---|
org.apache.commons.math3.fitting.leastsquares |
This package provides algorithms that minimize the residuals
between observations and model values.
|
org.apache.commons.math3.optim |
Generally, optimizers are algorithms that will either
minimize or
maximize
a scalar function, called the
objective
function . |
org.apache.commons.math3.optim.nonlinear.vector |
Algorithms for optimizing a vector function.
|
org.apache.commons.math3.optim.nonlinear.vector.jacobian |
This package provides optimization algorithms that require derivatives.
|
Modifier and Type | Method and Description |
---|---|
LeastSquaresBuilder |
LeastSquaresBuilder.checkerPair(ConvergenceChecker<PointVectorValuePair> newChecker)
Configure the convergence checker.
|
static ConvergenceChecker<LeastSquaresProblem.Evaluation> |
LeastSquaresFactory.evaluationChecker(ConvergenceChecker<PointVectorValuePair> checker)
View a convergence checker specified for a
PointVectorValuePair as one
specified for an LeastSquaresProblem.Evaluation . |
Modifier and Type | Method and Description |
---|---|
boolean |
SimpleVectorValueChecker.converged(int iteration,
PointVectorValuePair previous,
PointVectorValuePair current)
Check if the optimization algorithm has converged considering the
last two points.
|
Modifier and Type | Method and Description |
---|---|
PointVectorValuePair[] |
MultiStartMultivariateVectorOptimizer.getOptima()
Deprecated.
Gets all the optima found during the last call to
optimize . |
PointVectorValuePair |
MultivariateVectorOptimizer.optimize(OptimizationData... optData)
Deprecated.
Stores data and performs the optimization.
|
PointVectorValuePair |
JacobianMultivariateVectorOptimizer.optimize(OptimizationData... optData)
Deprecated.
Stores data and performs the optimization.
|
Modifier and Type | Method and Description |
---|---|
protected void |
MultiStartMultivariateVectorOptimizer.store(PointVectorValuePair optimum)
Deprecated.
Method that will be called in order to store each found optimum.
|
Constructor and Description |
---|
JacobianMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair> checker)
Deprecated.
|
MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair> checker)
Deprecated.
|
Modifier and Type | Method and Description |
---|---|
protected PointVectorValuePair |
LevenbergMarquardtOptimizer.doOptimize()
Deprecated.
Performs the bulk of the optimization algorithm.
|
PointVectorValuePair |
GaussNewtonOptimizer.doOptimize()
Deprecated.
Performs the bulk of the optimization algorithm.
|
PointVectorValuePair |
AbstractLeastSquaresOptimizer.optimize(OptimizationData... optData)
Deprecated.
Stores data and performs the optimization.
|
Constructor and Description |
---|
AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair> checker)
Deprecated.
|
GaussNewtonOptimizer(boolean useLU,
ConvergenceChecker<PointVectorValuePair> checker)
Deprecated.
|
GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair> checker)
Deprecated.
Simple constructor with default settings.
|
LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair> checker)
Deprecated.
Constructor that allows the specification of a custom convergence
checker.
|
LevenbergMarquardtOptimizer(double initialStepBoundFactor,
ConvergenceChecker<PointVectorValuePair> checker,
double costRelativeTolerance,
double parRelativeTolerance,
double orthoTolerance,
double threshold)
Deprecated.
Constructor that allows the specification of a custom convergence
checker, in addition to the standard ones.
|
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