Uses of Interface
org.hipparchus.random.RandomVectorGenerator
Package
Description
Generally, optimizers are algorithms that will either
minimize
or
maximize
a scalar function, called the
objective
function
.Algorithms for optimizing a scalar function.
Random number and random data generators.
Various examples.
-
Uses of RandomVectorGenerator in org.hipparchus.optim
ModifierConstructorDescriptionBaseMultiStartMultivariateOptimizer
(BaseMultivariateOptimizer<P> optimizer, int starts, RandomVectorGenerator generator) Create a multi-start optimizer from a single-start optimizer. -
Uses of RandomVectorGenerator in org.hipparchus.optim.nonlinear.scalar
ModifierConstructorDescriptionMultiStartMultivariateOptimizer
(MultivariateOptimizer optimizer, int starts, RandomVectorGenerator generator) Create a multi-start optimizer from a single-start optimizer. -
Uses of RandomVectorGenerator in org.hipparchus.random
Modifier and TypeClassDescriptionclass
ARandomVectorGenerator
that generates vectors with with correlated components.class
Implementation of a Halton sequence.class
Implementation of a Sobol sequence.class
ARandomVectorGenerator
that generates vectors with uncorrelated components.class
Generate random vectors isotropically located on the surface of a sphere. -
Uses of RandomVectorGenerator in org.hipparchus.samples
Modifier and TypeMethodDescriptionLowDiscrepancyGeneratorComparison.makeCircle
(int samples, RandomVectorGenerator generator) Generate points within a circle.LowDiscrepancyGeneratorComparison.makeRandom
(int samples, RandomVectorGenerator generator) Generate points.