
Colt 1.2.0  
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Packages that use hep.aida.bin  
cern.colt.matrix.doublealgo  Double matrix algorithms such as print formatting, sorting, partitioning and statistics. 
hep.aida.bin  Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution. 
Classes in hep.aida.bin used by cern.colt.matrix.doublealgo  
BinFunction1D
Interface that represents a function object: a function that takes two bins as arguments and returns a single value. 

DynamicBin1D
1dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences. 
Classes in hep.aida.bin used by hep.aida.bin  
AbstractBin
Abstract base class for all arbitrarydimensional bins consumes double elements. 

AbstractBin1D
Abstract base class for all 1dimensional bins consumes double elements. 

BinBinFunction1D
Interface that represents a function object: a function that takes two bins as arguments and returns a single value. 

BinFunction1D
Interface that represents a function object: a function that takes two bins as arguments and returns a single value. 

BinFunctions1D
Function objects computing dynamic bin aggregations; to be passed to generic methods. 

DynamicBin1D
1dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences. 

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. 

QuantileBin1D
1dimensional nonrebinnable 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 apriori 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. 

StaticBin1D
1dimensional nonrebinnable bin consuming double elements; Efficiently computes basic statistics of data sequences. 

Colt 1.2.0  
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