Uses of Class
hep.aida.tfloat.bin.AbstractFloatBin1D

Packages that use AbstractFloatBin1D

hep.aida.tfloat.bin

Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution.

Uses of AbstractFloatBin1D in hep.aida.tfloat.bin

Subclasses of AbstractFloatBin1D in hep.aida.tfloat.bin

class	DynamicFloatBin1D 1-dimensional rebinnable bin holding float elements; Efficiently computes advanced statistics of data sequences.
class	MightyStaticFloatBin1D 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	QuantileFloatBin1D 1-dimensional non-rebinnable bin holding float 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	StaticFloatBin1D 1-dimensional non-rebinnable bin consuming float elements; Efficiently computes basic statistics of data sequences.

Methods in hep.aida.tfloat.bin with parameters of type AbstractFloatBin1D

String	QuantileFloatBin1D.compareWith(AbstractFloatBin1D other) Computes the deviations from the receiver's measures to another bin's measures.
String	MightyStaticFloatBin1D.compareWith(AbstractFloatBin1D other) Computes the deviations from the receiver's measures to another bin's measures.
String	AbstractFloatBin1D.compareWith(AbstractFloatBin1D other) Computes the deviations from the receiver's measures to another bin's measures.