Colt 1.2.0

## Uses of Class
hep.aida.bin.AbstractBin1D

Packages that use AbstractBin1D
hep.aida.bin: 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
`class` `DynamicBin1D` 1-dimensional rebinnable bin holding `double` elements; Efficiently computes advanced statistics of data sequences.
`class` `MightyStaticBin1D` 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`

`QuantileBin1D`
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` `StaticBin1D` 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
`String` `QuantileBin1D.compareWith(AbstractBin1D other)` Computes the deviations from the receiver's measures to another bin's measures.
`String` `MightyStaticBin1D.compareWith(AbstractBin1D other)` Computes the deviations from the receiver's measures to another bin's measures.
`String` `AbstractBin1D.compareWith(AbstractBin1D other)` Computes the deviations from the receiver's measures to another bin's measures.

Colt 1.2.0

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