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Parallel Colt 0.7.2 | |||||||||
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| Packages that use MightyStaticDoubleBin1D | |
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| 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 |
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| Subclasses of MightyStaticDoubleBin1D in hep.aida.tdouble.bin | |
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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 | |
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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. |
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Parallel Colt 0.7.2 | |||||||||
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