Parallel Colt 0.7.2

Uses of Class
hep.aida.tdouble.bin.MightyStaticDoubleBin1D

Packages that use MightyStaticDoubleBin1D
hep.aida.tdouble.bin Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution. 
 

Uses of MightyStaticDoubleBin1D in hep.aida.tdouble.bin
 

Subclasses of MightyStaticDoubleBin1D in hep.aida.tdouble.bin
 class DynamicDoubleBin1D
          1-dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences.
 class QuantileDoubleBin1D
          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.
 

Methods in hep.aida.tdouble.bin that return MightyStaticDoubleBin1D
 MightyStaticDoubleBin1D[] QuantileDoubleBin1D.splitApproximately(DoubleArrayList percentages, int k)
          Divides (rebins) a copy of the receiver at the given percentage boundaries into bins and returns these bins, such that each bin approximately reflects the data elements of its range.
 MightyStaticDoubleBin1D[] QuantileDoubleBin1D.splitApproximately(DoubleIAxis axis, int k)
          Divides (rebins) a copy of the receiver at the given interval boundaries into bins and returns these bins, such that each bin approximately reflects the data elements of its range.
 


Parallel Colt 0.7.2

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