Uses of Class
org.hipparchus.util.Pair

Packages that use Pair

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.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.

Uses of Pair in org.hipparchus.analysis.integration.gauss

Methods in org.hipparchus.analysis.integration.gauss that return Pair

Modifier and Type	Method and Description
protected Pair<Double[],Double[]>	LegendreRuleFactory.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[]>	LaguerreRuleFactory.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 abstract Pair<T[],T[]>	BaseRuleFactory.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.

Methods in org.hipparchus.analysis.integration.gauss with parameters of type Pair

Modifier and Type	Method and Description
protected void	BaseRuleFactory.addRule(Pair<T[],T[]> rule) Stores a rule.

Constructors in org.hipparchus.analysis.integration.gauss with parameters of type Pair

Constructor and 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.

Uses of Pair in org.hipparchus.distribution

Methods in org.hipparchus.distribution that return types with arguments of type Pair

Modifier and Type	Method and Description
List<Pair<T,Double>>	EnumeratedDistribution.getPmf() Return the probability mass function as a list of pairs.

Constructor parameters in org.hipparchus.distribution with type arguments of type Pair

Constructor and Description
EnumeratedDistribution(List<Pair<T,Double>> pmf) Create an enumerated distribution using the given random number generator and probability mass function enumeration.

Uses of Pair in org.hipparchus.distribution.multivariate

Methods in org.hipparchus.distribution.multivariate that return types with arguments of type Pair

Modifier and Type	Method and Description
List<Pair<Double,T>>	MixtureMultivariateRealDistribution.getComponents() Gets the distributions that make up the mixture model.

Constructor parameters in org.hipparchus.distribution.multivariate with type arguments of type Pair

Constructor and 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.

Uses of Pair in org.hipparchus.optim

Classes in org.hipparchus.optim with type parameters of type Pair

Modifier and Type	Class and Description
class	SimplePointChecker<PAIR extends Pair<double[],? extends Object>> Simple implementation of the ConvergenceChecker interface using only point coordinates.

Subclasses of Pair in org.hipparchus.optim

Modifier and Type	Class and 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.

Uses of Pair in org.hipparchus.optim.nonlinear.vector.leastsquares

Methods in org.hipparchus.optim.nonlinear.vector.leastsquares that return Pair

Modifier and Type	Method and Description
Pair<RealVector,RealMatrix>	MultivariateJacobianFunction.value(RealVector point) Compute the function value and its Jacobian.

Uses of Pair in org.hipparchus.util

Methods in org.hipparchus.util that return Pair

Modifier and Type	Method and Description
static <K,V> Pair<K,V>	Pair.create(K k, V v) Convenience factory method that calls the constructor.

Constructors in org.hipparchus.util with parameters of type Pair

Constructor and Description
Pair(Pair<? extends K,? extends V> entry) Create an entry representing the same mapping as the specified entry.