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

Jump to the Colt Homepage