Package | Description |
---|---|
org.hipparchus.analysis.integration.gauss |
Gauss family of quadrature schemes.
|
org.hipparchus.distribution |
Interfaces and implementations of common discrete and
continuous distributions.
|
org.hipparchus.distribution.continuous |
Implementations of common continuous distributions.
|
org.hipparchus.distribution.discrete |
Implementations of common discrete distributions.
|
org.hipparchus.distribution.multivariate |
Implementations of multivariate distributions.
|
org.hipparchus.optim |
Generally, optimizers are algorithms that will either
minimize or
maximize
a scalar function, called the
objective
function . |
org.hipparchus.optim.nonlinear.vector.leastsquares |
This package provides algorithms that minimize the residuals
between observations and model values.
|
org.hipparchus.util |
Convenience routines and common data structures used throughout the Hipparchus library.
|
Modifier and Type | Method | Description |
---|---|---|
protected abstract Pair<T[],T[]> |
BaseRuleFactory.computeRule(int numberOfPoints) |
Computes the rule for the given order.
|
protected Pair<Double[],Double[]> |
HermiteRuleFactory.computeRule(int numberOfPoints) |
Computes the rule for the given order.
|
protected Pair<Double[],Double[]> |
LaguerreRuleFactory.computeRule(int numberOfPoints) |
Computes the rule for the given order.
|
protected Pair<BigDecimal[],BigDecimal[]> |
LegendreHighPrecisionRuleFactory.computeRule(int numberOfPoints) |
Computes the rule for the given order.
|
protected Pair<Double[],Double[]> |
LegendreRuleFactory.computeRule(int numberOfPoints) |
Computes the rule for the given order.
|
Pair<double[],double[]> |
BaseRuleFactory.getRule(int numberOfPoints) |
Gets a copy of the quadrature rule with the given number of integration
points.
|
protected Pair<T[],T[]> |
BaseRuleFactory.getRuleInternal(int numberOfPoints) |
Gets a rule.
|
Modifier and Type | Method | Description |
---|---|---|
protected void |
BaseRuleFactory.addRule(Pair<T[],T[]> rule) |
Stores a rule.
|
Constructor | Description |
---|---|
GaussIntegrator(Pair<double[],double[]> pointsAndWeights) |
Creates an integrator from the given pair of points (first element of
the pair) and weights (second element of the pair.
|
SymmetricGaussIntegrator(Pair<double[],double[]> pointsAndWeights) |
Creates an integrator from the given pair of points (first element of
the pair) and weights (second element of the pair.
|
Modifier and Type | Method | Description |
---|---|---|
List<Pair<T,Double>> |
EnumeratedDistribution.getPmf() |
Return the probability mass function as a list of (value, probability) pairs.
|
Constructor | Description |
---|---|
EnumeratedDistribution(List<Pair<T,Double>> pmf) |
Create an enumerated distribution using the given probability mass function
enumeration.
|
Modifier and Type | Method | Description |
---|---|---|
List<Pair<Double,Double>> |
EnumeratedRealDistribution.getPmf() |
Return the probability mass function as a list of (value, probability) pairs.
|
Modifier and Type | Method | Description |
---|---|---|
List<Pair<Integer,Double>> |
EnumeratedIntegerDistribution.getPmf() |
Return the probability mass function as a list of (value, probability) pairs.
|
Modifier and Type | Method | Description |
---|---|---|
List<Pair<Double,T>> |
MixtureMultivariateRealDistribution.getComponents() |
Gets the distributions that make up the mixture model.
|
Constructor | Description |
---|---|
MixtureMultivariateNormalDistribution(List<Pair<Double,MultivariateNormalDistribution>> components) |
Creates a mixture model from a list of distributions and their
associated weights.
|
MixtureMultivariateNormalDistribution(RandomGenerator rng,
List<Pair<Double,MultivariateNormalDistribution>> components) |
Creates a mixture model from a list of distributions and their
associated weights.
|
MixtureMultivariateRealDistribution(List<Pair<Double,T>> components) |
Creates a mixture model from a list of distributions and their
associated weights.
|
MixtureMultivariateRealDistribution(RandomGenerator rng,
List<Pair<Double,T>> components) |
Creates a mixture model from a list of distributions and their
associated weights.
|
Modifier and Type | Class | Description |
---|---|---|
class |
SimplePointChecker<PAIR extends Pair<double[],? extends Object>> |
Simple implementation of the
ConvergenceChecker interface using
only point coordinates. |
Modifier and Type | Class | Description |
---|---|---|
class |
PointValuePair |
This class holds a point and the value of an objective function at
that point.
|
class |
PointVectorValuePair |
This class holds a point and the vectorial value of an objective function at
that point.
|
Modifier and Type | Method | Description |
---|---|---|
Pair<RealVector,RealMatrix> |
MultivariateJacobianFunction.value(RealVector point) |
Compute the function value and its Jacobian.
|
Modifier and Type | Method | Description |
---|---|---|
static <K,V> Pair<K,V> |
Pair.create(K k,
V v) |
Convenience factory method that calls the
constructor . |
Constructor | Description |
---|---|
Pair(Pair<? extends K,? extends V> entry) |
Create an entry representing the same mapping as the specified entry.
|
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