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Parallel Colt 0.7.2 | |||||||||
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| Packages that use hep.aida.tdouble.bin | |
|---|---|
| cern.colt.matrix.tdouble.algo | Linear Algebraic matrix computations operating on DoubleMatrix2D
and DoubleMatrix1D. |
| hep.aida.tdouble.bin | Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution. |
| Classes in hep.aida.tdouble.bin used by cern.colt.matrix.tdouble.algo | |
|---|---|
| DoubleBinFunction1D
Interface that represents a function object: a function that takes two bins as arguments and returns a single value. |
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| DynamicDoubleBin1D
1-dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences. |
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| Classes in hep.aida.tdouble.bin used by hep.aida.tdouble.bin | |
|---|---|
| AbstractDoubleBin
Abstract base class for all arbitrary-dimensional bins consumes double elements. |
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| AbstractDoubleBin1D
Abstract base class for all 1-dimensional bins consumes double elements. |
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| DoubleBinBinFunction1D
Interface that represents a function object: a function that takes two bins as arguments and returns a single value. |
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| DoubleBinFunction1D
Interface that represents a function object: a function that takes two bins as arguments and returns a single value. |
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| DoubleBinFunctions1D
Function objects computing dynamic bin aggregations; to be passed to generic methods. |
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| DynamicDoubleBin1D
1-dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences. |
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| MightyStaticDoubleBin1D
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. |
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| 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. |
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| StaticDoubleBin1D
1-dimensional non-rebinnable bin consuming double elements; Efficiently computes basic statistics of data sequences. |
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