Package | Description |
---|---|
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.
|
Class and Description |
---|
DoubleBinFunction1D
Interface that represents a function object: a function that takes two bins
as arguments and returns a single value.
|
DynamicDoubleBin1D
1-dimensional rebinnable bin holding double elements; Efficiently
computes advanced statistics of data sequences.
|
Class and Description |
---|
AbstractDoubleBin
Abstract base class for all arbitrary-dimensional bins consumes
double elements.
|
AbstractDoubleBin1D
Abstract base class for all 1-dimensional bins consumes double
elements.
|
DoubleBinBinFunction1D
Interface that represents a function object: a function that takes two bins
as arguments and returns a single value.
|
DoubleBinFunction1D
Interface that represents a function object: a function that takes two bins
as arguments and returns a single value.
|
DoubleBinFunctions1D
Function objects computing dynamic bin aggregations; to be passed to generic
methods.
|
DynamicDoubleBin1D
1-dimensional rebinnable bin holding double elements; Efficiently
computes advanced statistics of data sequences.
|
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.
|
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.
|
StaticDoubleBin1D
1-dimensional non-rebinnable bin consuming double elements;
Efficiently computes basic statistics of data sequences.
|
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