Package | Description |
---|---|
org.hipparchus.optim.nonlinear.vector.leastsquares |
This package provides algorithms that minimize the residuals
between observations and model values.
|
Modifier and Type | Interface | Description |
---|---|---|
interface |
ValueAndJacobianFunction |
A interface for functions that compute a vector of values and can compute their
derivatives (Jacobian).
|
Modifier and Type | Method | Description |
---|---|---|
static MultivariateJacobianFunction |
LeastSquaresFactory.model(MultivariateVectorFunction value,
MultivariateMatrixFunction jacobian) |
Combine a
MultivariateVectorFunction with a MultivariateMatrixFunction to produce a MultivariateJacobianFunction . |
Modifier and Type | Method | Description |
---|---|---|
static LeastSquaresProblem |
LeastSquaresFactory.create(MultivariateJacobianFunction model,
RealVector observed,
RealVector start,
RealMatrix weight,
ConvergenceChecker<LeastSquaresProblem.Evaluation> checker,
int maxEvaluations,
int maxIterations) |
Create a
LeastSquaresProblem
from the given elements. |
static LeastSquaresProblem |
LeastSquaresFactory.create(MultivariateJacobianFunction model,
RealVector observed,
RealVector start,
RealMatrix weight,
ConvergenceChecker<LeastSquaresProblem.Evaluation> checker,
int maxEvaluations,
int maxIterations,
boolean lazyEvaluation,
ParameterValidator paramValidator) |
Create a
LeastSquaresProblem
from the given elements. |
static LeastSquaresProblem |
LeastSquaresFactory.create(MultivariateJacobianFunction model,
RealVector observed,
RealVector start,
ConvergenceChecker<LeastSquaresProblem.Evaluation> checker,
int maxEvaluations,
int maxIterations) |
Create a
LeastSquaresProblem
from the given elements. |
LeastSquaresBuilder |
LeastSquaresBuilder.model(MultivariateJacobianFunction newModel) |
Configure the model function.
|
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