| Package | Description | 
|---|---|
| org.hipparchus.optim | 
  Generally, optimizers are algorithms that will either
   minimizeormaximizea scalar function, called theobjective
  function. | 
| org.hipparchus.optim.nonlinear.scalar | Algorithms for optimizing a scalar function. | 
| org.hipparchus.random | Random number and random data generators. | 
| org.hipparchus.samples | Various examples. | 
| Constructor and Description | 
|---|
| BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<P> optimizer,
                                   int starts,
                                   RandomVectorGenerator generator)Create a multi-start optimizer from a single-start optimizer. | 
| Constructor and Description | 
|---|
| MultiStartMultivariateOptimizer(MultivariateOptimizer optimizer,
                               int starts,
                               RandomVectorGenerator generator)Create a multi-start optimizer from a single-start optimizer. | 
| Modifier and Type | Class and Description | 
|---|---|
| class  | CorrelatedRandomVectorGeneratorA  RandomVectorGeneratorthat generates vectors with with
 correlated components. | 
| class  | HaltonSequenceGeneratorImplementation of a Halton sequence. | 
| class  | SobolSequenceGeneratorImplementation of a Sobol sequence. | 
| class  | UncorrelatedRandomVectorGeneratorA  RandomVectorGeneratorthat generates vectors with uncorrelated components. | 
| class  | UnitSphereRandomVectorGeneratorGenerate random vectors isotropically located on the surface of a sphere. | 
| Modifier and Type | Method and Description | 
|---|---|
| static List<Vector2D> | LowDiscrepancyGeneratorComparison. makeCircle(int samples,
          RandomVectorGenerator generator) | 
| static List<Vector2D> | LowDiscrepancyGeneratorComparison. makeRandom(int samples,
          RandomVectorGenerator generator) | 
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