| Package | Description |
|---|---|
| org.hipparchus.optim |
Generally, optimizers are algorithms that will either
minimize or
maximize
a scalar function, called the
objective
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 |
CorrelatedRandomVectorGenerator
A
RandomVectorGenerator that generates vectors with with
correlated components. |
class |
HaltonSequenceGenerator
Implementation of a Halton sequence.
|
class |
SobolSequenceGenerator
Implementation of a Sobol sequence.
|
class |
UncorrelatedRandomVectorGenerator
A
RandomVectorGenerator that generates vectors with uncorrelated components. |
class |
UnitSphereRandomVectorGenerator
Generate 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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