Uses of Class
hep.aida.bin.AbstractBin

Packages that use AbstractBin
Package
Description
Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution.
  • Uses of AbstractBin in hep.aida.bin

    Subclasses of AbstractBin in hep.aida.bin
    Modifier and Type
    Class
    Description
    class 
    Abstract base class for all 1-dimensional bins consumes double elements.
    class 
    1-dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences.
    class 
    Static and the same as its superclass, except that it can do more: Additionally computes moments of arbitrary integer order, harmonic mean, geometric mean, etc.
    class 
    1-dimensional non-rebinnable bin holding double elements with scalable quantile operations defined upon; Using little main memory, quickly computes approximate quantiles over very large data sequences with and even without a-priori knowledge of the number of elements to be filled; Conceptually a strongly lossily compressed multiset (or bag); Guarantees to respect the worst case approximation error specified upon instance construction.
    class 
    1-dimensional non-rebinnable bin consuming double elements; Efficiently computes basic statistics of data sequences.