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.
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Uses of AbstractBin in hep.aida.bin
Subclasses of AbstractBin in hep.aida.binModifier and TypeClassDescriptionclass
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.