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 |
Constructor | Description |
---|---|
BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<PAIR> optimizer,
int starts,
RandomVectorGenerator generator) |
Create a multi-start optimizer from a single-start optimizer.
|
Constructor | Description |
---|---|
MultiStartMultivariateOptimizer(MultivariateOptimizer optimizer,
int starts,
RandomVectorGenerator generator) |
Create a multi-start optimizer from a single-start optimizer.
|
Modifier and Type | Class | 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 | Description |
---|---|---|
static List<Vector2D> |
LowDiscrepancyGeneratorComparison.makeCircle(int samples,
RandomVectorGenerator generator) |
|
static List<Vector2D> |
LowDiscrepancyGeneratorComparison.makeRandom(int samples,
RandomVectorGenerator generator) |
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