Uses of Class
hep.aida.bin.AbstractBin1D

Packages that use AbstractBin1D
Package
Description
Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution.
  • Uses of AbstractBin1D in hep.aida.bin

    Subclasses of AbstractBin1D in hep.aida.bin
    Modifier and Type
    Class
    Description
    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.
    Methods in hep.aida.bin with parameters of type AbstractBin1D
    Modifier and Type
    Method
    Description
    AbstractBin1D.compareWith(AbstractBin1D other)
    Computes the deviations from the receiver's measures to another bin's measures.
    MightyStaticBin1D.compareWith(AbstractBin1D other)
    Computes the deviations from the receiver's measures to another bin's measures.
    QuantileBin1D.compareWith(AbstractBin1D other)
    Computes the deviations from the receiver's measures to another bin's measures.