See: Description
Interface | Description |
---|---|
LeastSquaresOptimizer |
An algorithm that can be applied to a non-linear least squares problem.
|
LeastSquaresOptimizer.Optimum |
The optimum found by the optimizer.
|
LeastSquaresProblem |
The data necessary to define a non-linear least squares problem.
|
LeastSquaresProblem.Evaluation |
An evaluation of a
LeastSquaresProblem at a particular point. |
MultivariateJacobianFunction |
A interface for functions that compute a vector of values and can compute their
derivatives (Jacobian).
|
ParameterValidator |
Interface for validating a set of model parameters.
|
ValueAndJacobianFunction |
A interface for functions that compute a vector of values and can compute their
derivatives (Jacobian).
|
Class | Description |
---|---|
AbstractEvaluation |
An implementation of
LeastSquaresProblem.Evaluation that is designed for extension. |
EvaluationRmsChecker |
Check if an optimization has converged based on the change in computed RMS.
|
GaussNewtonOptimizer |
Gauss-Newton least-squares solver.
|
LeastSquaresAdapter |
An adapter that delegates to another implementation of
LeastSquaresProblem . |
LeastSquaresBuilder |
A mutable builder for
LeastSquaresProblem s. |
LeastSquaresFactory |
A Factory for creating
LeastSquaresProblem s. |
LevenbergMarquardtOptimizer |
This class solves a least-squares problem using the Levenberg-Marquardt
algorithm.
|
Enum | Description |
---|---|
GaussNewtonOptimizer.Decomposition |
The decomposition algorithm to use to solve the normal equations.
|
least-squares optimizers
minimize the distance (called
cost or χ2) between model and
observations.
LeastSquaresProblem
).
Such a model predicts a set of values which the algorithm tries to match
with a set of given set of observed values.
builder
or it can
be created at once using a factory
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