Uses of Interface
org.apache.commons.math3.fitting.leastsquares.MultivariateJacobianFunction
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Packages that use MultivariateJacobianFunction Package Description org.apache.commons.math3.fitting.leastsquares This package provides algorithms that minimize the residuals between observations and model values. -
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Uses of MultivariateJacobianFunction in org.apache.commons.math3.fitting.leastsquares
Subinterfaces of MultivariateJacobianFunction in org.apache.commons.math3.fitting.leastsquares Modifier and Type Interface Description interface
ValueAndJacobianFunction
A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).Classes in org.apache.commons.math3.fitting.leastsquares that implement MultivariateJacobianFunction Modifier and Type Class Description private static class
LeastSquaresFactory.LocalValueAndJacobianFunction
Combine aMultivariateVectorFunction
with aMultivariateMatrixFunction
to produce aMultivariateJacobianFunction
.Fields in org.apache.commons.math3.fitting.leastsquares declared as MultivariateJacobianFunction Modifier and Type Field Description private MultivariateJacobianFunction
LeastSquaresBuilder. model
model functionprivate MultivariateJacobianFunction
LeastSquaresFactory.LocalLeastSquaresProblem. model
Model function.Methods in org.apache.commons.math3.fitting.leastsquares that return MultivariateJacobianFunction Modifier and Type Method Description static MultivariateJacobianFunction
LeastSquaresFactory. model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian)
Combine aMultivariateVectorFunction
with aMultivariateMatrixFunction
to produce aMultivariateJacobianFunction
.Methods in org.apache.commons.math3.fitting.leastsquares with parameters of type 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 aLeastSquaresProblem
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 aLeastSquaresProblem
from the given elements.static LeastSquaresProblem
LeastSquaresFactory. create(MultivariateJacobianFunction model, RealVector observed, RealVector start, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations)
Create aLeastSquaresProblem
from the given elements.LeastSquaresBuilder
LeastSquaresBuilder. model(MultivariateJacobianFunction newModel)
Configure the model function.Constructors in org.apache.commons.math3.fitting.leastsquares with parameters of type MultivariateJacobianFunction Constructor Description LocalLeastSquaresProblem(MultivariateJacobianFunction model, RealVector target, RealVector start, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations, boolean lazyEvaluation, ParameterValidator paramValidator)
Create aLeastSquaresProblem
from the given data.
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