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 | Colt 1.2.0 | ||||||||||
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| Packages that use AbstractBin | |
| hep.aida.bin | 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 | |
|  class | AbstractBin1DAbstract base class for all 1-dimensional bins consumes double elements. | 
|  class | DynamicBin1D1-dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences. | 
|  class | MightyStaticBin1DStatic 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 | QuantileBin1D1-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 | StaticBin1D1-dimensional non-rebinnable bin consuming double elements; Efficiently computes basic statistics of data sequences. | 
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 | Colt 1.2.0 | ||||||||||
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