Uses of Package
cern.colt.list

Packages that use cern.colt.list
Package
Description
Core base classes; Operations on primitive arrays such as sorting, partitioning and permuting.
Fixed sized (non resizable) streaming buffers connected to a target objects to which data is automatically flushed upon buffer overflow.
Resizable lists holding objects or primitive data types such as int, double, etc.
List adapters that make Colt lists compatible with the JDK 1.2 Collections Framework.
Automatically growing and shrinking maps holding objects or primitive data types such as int, double, etc.
Matrix interfaces and factories; efficient and flexible dense and sparse 1, 2, 3 and d-dimensional matrices holding objects or primitive data types such as int, double, etc; Templated, fixed sized (not dynamically resizable); Also known as multi-dimensional arrays or Data Cubes.
Matrix implementations; You normally need not look at this package, because all concrete classes implement the abstract interfaces of cern.colt.matrix, without subsetting or supersetting.
Linear Algebraic matrix computations operating on DoubleMatrix2D and DoubleMatrix1D.
Samples (picks) random subsets of data sequences.
Tools for basic and advanced statistics: Estimators, Gamma functions, Beta functions, Probabilities, Special integrals, etc.
Scalable algorithms and data structures to compute approximate quantiles over very large data sequences.
Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution.