| Package | Description |
|---|---|
| org.hipparchus |
Common classes used throughout the Hipparchus library.
|
| org.hipparchus.analysis |
Parent package for common numerical analysis procedures, including root finding,
function interpolation and integration.
|
| org.hipparchus.analysis.differentiation |
This package holds the main interfaces and basic building block classes
dealing with differentiation.
|
| org.hipparchus.analysis.function |
The
function package contains function objects that wrap the
methods contained in Math, as well as common
mathematical functions such as the gaussian and sinc functions. |
| org.hipparchus.analysis.integration |
Numerical integration (quadrature) algorithms for univariate real functions.
|
| org.hipparchus.analysis.integration.gauss |
Gauss family of quadrature schemes.
|
| org.hipparchus.analysis.interpolation |
Univariate real functions interpolation algorithms.
|
| org.hipparchus.analysis.polynomials |
Univariate real polynomials implementations, seen as differentiable
univariate real functions.
|
| org.hipparchus.analysis.solvers |
Root finding algorithms, for univariate real functions.
|
| org.hipparchus.clustering |
Clustering algorithms.
|
| org.hipparchus.clustering.distance |
Common distance measures.
|
| org.hipparchus.clustering.evaluation |
Cluster evaluation methods.
|
| org.hipparchus.complex |
Complex number type and implementations of complex transcendental
functions.
|
| org.hipparchus.dfp |
Decimal floating point library for Java
|
| 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.exception |
Specialized exceptions for algorithms errors.
|
| org.hipparchus.filtering |
Filtering algorithms, including Kalman filtering).
|
| org.hipparchus.filtering.kalman |
Kalman filter.
|
| org.hipparchus.filtering.kalman.extended |
Kalman filter implementation for non-linear processes.
|
| org.hipparchus.filtering.kalman.linear |
Kalman filter implementation for linear processes.
|
| org.hipparchus.fitting |
Classes to perform curve fitting.
|
| org.hipparchus.fraction |
Fraction number type and fraction number formatting.
|
| org.hipparchus.geometry |
This package is the top level package for geometry.
|
| org.hipparchus.geometry.enclosing |
This package provides interfaces and classes related to the smallest enclosing ball problem.
|
| org.hipparchus.geometry.euclidean.oned |
This package provides basic 1D geometry components.
|
| org.hipparchus.geometry.euclidean.threed |
This package provides basic 3D geometry components.
|
| org.hipparchus.geometry.euclidean.twod |
This package provides basic 2D geometry components.
|
| org.hipparchus.geometry.euclidean.twod.hull |
This package provides algorithms to generate the convex hull
for a set of points in an two-dimensional euclidean space.
|
| org.hipparchus.geometry.hull |
This package provides interfaces and classes related to the convex hull problem.
|
| org.hipparchus.geometry.partitioning |
This package provides classes to implement Binary Space Partition trees.
|
| org.hipparchus.geometry.spherical.oned |
This package provides basic geometry components on the 1-sphere.
|
| org.hipparchus.geometry.spherical.twod |
This package provides basic geometry components on the 2-sphere.
|
| org.hipparchus.linear |
Linear algebra support.
|
| org.hipparchus.migration |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.exception |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.exception.util |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.genetics |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.geometry |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.geometry.euclidean |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.geometry.euclidean.threed |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.linear |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.ode |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.ode.events |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.ode.sampling |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.optim |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.optim.linear |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.stat |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.migration.stat.regression |
This package provides migration classes from Apache Commons Math to Hipparchus.
|
| org.hipparchus.ode |
This package provides classes to solve Ordinary Differential Equations problems.
|
| org.hipparchus.ode.events |
Events
|
| org.hipparchus.ode.nonstiff |
This package provides classes to solve non-stiff Ordinary Differential Equations problems.
|
| org.hipparchus.ode.sampling |
This package provides classes to handle sampling steps during
Ordinary Differential Equations integration.
|
| org.hipparchus.optim |
Generally, optimizers are algorithms that will either
minimize or
maximize
a scalar function, called the
objective
function. |
| org.hipparchus.optim.linear |
Optimization algorithms for linear constrained problems.
|
| org.hipparchus.optim.nonlinear.scalar |
Algorithms for optimizing a scalar function.
|
| org.hipparchus.optim.nonlinear.scalar.gradient |
This package provides optimization algorithms that require derivatives.
|
| org.hipparchus.optim.nonlinear.scalar.noderiv |
This package provides optimization algorithms that do not require derivatives.
|
| org.hipparchus.optim.nonlinear.vector.leastsquares |
This package provides algorithms that minimize the residuals
between observations and model values.
|
| org.hipparchus.optim.univariate |
One-dimensional optimization algorithms.
|
| org.hipparchus.random |
Random number and random data generators.
|
| org.hipparchus.samples |
Various examples.
|
| org.hipparchus.samples.clustering |
Clustering examples.
|
| org.hipparchus.samples.geometry |
Geometry examples.
|
| org.hipparchus.special |
Implementations of special functions such as Beta and Gamma.
|
| org.hipparchus.stat |
Data storage, manipulation and summary routines.
|
| org.hipparchus.stat.correlation |
Correlations/Covariance computations.
|
| org.hipparchus.stat.descriptive |
Generic univariate and multivariate summary statistic objects.
|
| org.hipparchus.stat.descriptive.moment |
Summary statistics based on moments.
|
| org.hipparchus.stat.descriptive.rank |
Summary statistics based on ranks.
|
| org.hipparchus.stat.descriptive.summary |
Other summary statistics.
|
| org.hipparchus.stat.descriptive.vector |
Multivariate statistics.
|
| org.hipparchus.stat.fitting |
Statistical methods for fitting distributions.
|
| org.hipparchus.stat.inference |
Classes providing hypothesis testing.
|
| org.hipparchus.stat.interval |
Utilities to calculate binomial proportion confidence intervals.
|
| org.hipparchus.stat.ranking |
Classes providing rank transformations.
|
| org.hipparchus.stat.regression |
Statistical routines involving multivariate data.
|
| org.hipparchus.transform |
Implementations of transform methods, including Fast Fourier transforms.
|
| org.hipparchus.util |
Convenience routines and common data structures used throughout the Hipparchus library.
|