## Uses of Class
org.apache.commons.math3.optim.univariate.UnivariatePointValuePair

- Packages that use UnivariatePointValuePair
  Package | Description
  --- | ---
  org.apache.commons.math3.optim.nonlinear.scalar | Algorithms for optimizing a scalar function.
  org.apache.commons.math3.optim.univariate | One-dimensional optimization algorithms.

- - ### Uses of UnivariatePointValuePair in org.apache.commons.math3.optim.nonlinear.scalar

    Methods in org.apache.commons.math3.optim.nonlinear.scalar that return UnivariatePointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `UnivariatePointValuePair` | LineSearch.`search(double[] startPoint, double[] direction)` Finds the number `alpha` that optimizes `f(startPoint + alpha * direction)`.

  - ### Uses of UnivariatePointValuePair in org.apache.commons.math3.optim.univariate

    Methods in org.apache.commons.math3.optim.univariate that return UnivariatePointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `protected UnivariatePointValuePair` | MultiStartUnivariateOptimizer.`doOptimize()` Performs the bulk of the optimization algorithm.
    `protected UnivariatePointValuePair` | BrentOptimizer.`doOptimize()` Performs the bulk of the optimization algorithm.
    `UnivariatePointValuePair[]` | MultiStartUnivariateOptimizer.`getOptima()` Gets all the optima found during the last call to `optimize`.
    `UnivariatePointValuePair` | MultiStartUnivariateOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.
    `UnivariatePointValuePair` | UnivariateOptimizer.`optimize(OptimizationData... optData)` Stores data and performs the optimization.

    Methods in org.apache.commons.math3.optim.univariate with parameters of type UnivariatePointValuePair
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | SimpleUnivariateValueChecker.`converged(int iteration, UnivariatePointValuePair previous, UnivariatePointValuePair current)` Check if the optimization algorithm has converged considering the last two points.

    Constructor parameters in org.apache.commons.math3.optim.univariate with type arguments of type UnivariatePointValuePair
    Constructor and Description
    `BrentOptimizer(double rel, double abs, ConvergenceChecker<UnivariatePointValuePair> checker)` The arguments are used implement the original stopping criterion of Brent's algorithm.
    `UnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair> checker)`

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