|
Colt 1.2.0 | ||||||||||
| PREV NEXT | FRAMES NO FRAMES | ||||||||||
| Packages that use AbstractBin | |
| hep.aida.bin | Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution. |
| Uses of AbstractBin in hep.aida.bin |
| Subclasses of AbstractBin in hep.aida.bin | |
class |
AbstractBin1D
Abstract base class for all 1-dimensional bins consumes double elements. |
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. |
|
Colt 1.2.0 | ||||||||||
| PREV NEXT | FRAMES NO FRAMES | ||||||||||