Uses of Package
org.hipparchus.linear

Packages that use org.hipparchus.linear
Package
Description
This package holds the main interfaces and basic building block classes dealing with differentiation.
Clustering algorithms.
Implementations of multivariate distributions.
Kalman filter.
Kalman filter implementation for non-linear processes.
Kalman filter implementation for linear processes.
Unscented Kalman filter implementation.
Linear algebra support.
This package provides classes to solve Ordinary Differential Equations problems.
This package provides classes to solve non-stiff Ordinary Differential Equations problems.
Optimization algorithms for linear constrained problems.
Algorithms for optimizing a scalar function.
This package provides optimization algorithms that do not require derivatives.
This package provides algorithms that minimize the residuals between observations and model values.
This package provides algorithms that minimize the residuals between observations and model values.
Random number and random data generators.
Correlations/Covariance computations.
Generic univariate and multivariate summary statistic objects.
Multivariate statistics.
Statistical routines involving multivariate data.
Convenience routines and common data structures used throughout the Hipparchus library.