Uses of Class
hep.aida.bin.AbstractBin1D
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Packages that use AbstractBin1D Package Description hep.aida.bin Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution. -
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Uses of AbstractBin1D in hep.aida.bin
Subclasses of AbstractBin1D in hep.aida.bin Modifier and Type Class Description 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 Modifier and Type Method Description java.lang.String
AbstractBin1D. compareWith(AbstractBin1D other)
Computes the deviations from the receiver's measures to another bin's measures.java.lang.String
MightyStaticBin1D. compareWith(AbstractBin1D other)
Computes the deviations from the receiver's measures to another bin's measures.java.lang.String
QuantileBin1D. compareWith(AbstractBin1D other)
Computes the deviations from the receiver's measures to another bin's measures.
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