| 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) |
Copyright © 2016–2018 Hipparchus.org. All rights reserved.