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| 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. |
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