## Uses of Interface
org.apache.commons.math3.fitting.leastsquares.MultivariateJacobianFunction

- 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.

- - ### Uses of MultivariateJacobianFunction in org.apache.commons.math3.fitting.leastsquares

    Subinterfaces of MultivariateJacobianFunction in org.apache.commons.math3.fitting.leastsquares
    Modifier and Type | Interface and Description
    --- | ---
    `interface` | `ValueAndJacobianFunction` A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).

    Methods in org.apache.commons.math3.fitting.leastsquares that return MultivariateJacobianFunction
    Modifier and Type | Method and Description
    --- | ---
    `static MultivariateJacobianFunction` | LeastSquaresFactory.`model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian)` Combine a `MultivariateVectorFunction` with a `MultivariateMatrixFunction` to produce a `MultivariateJacobianFunction`.

    Methods in org.apache.commons.math3.fitting.leastsquares with parameters of type MultivariateJacobianFunction
    Modifier and Type | Method and Description
    --- | ---
    `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.
    `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.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`model(MultivariateJacobianFunction newModel)` Configure the model function.

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