Parallel Colt 0.7.2

Uses of Interface

Packages that use DoubleBufferConsumer
cern.colt.buffer.tdouble Fixed sized (non resizable) streaming buffers holding double elements connected to a target objects to which data is automatically flushed upon buffer overflow. 
cern.colt.list.tdouble Resizable list holding elements of double data type. 
hep.aida.tdouble.bin Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution. 

Uses of DoubleBufferConsumer in cern.colt.buffer.tdouble

Classes in cern.colt.buffer.tdouble that implement DoubleBufferConsumer
 class DoubleBuffer
          Fixed sized (non resizable) streaming buffer connected to a target DoubleBufferConsumer to which data is automatically flushed upon buffer overflow.

Constructors in cern.colt.buffer.tdouble with parameters of type DoubleBufferConsumer
DoubleBuffer(DoubleBufferConsumer target, int capacity)
          Constructs and returns a new buffer with the given target.

Uses of DoubleBufferConsumer in cern.colt.list.tdouble

Classes in cern.colt.list.tdouble that implement DoubleBufferConsumer
 class AbstractDoubleList
          Abstract base class for resizable lists holding double elements; abstract.
 class DoubleArrayList
          Resizable list holding double elements; implemented with arrays.

Uses of DoubleBufferConsumer in hep.aida.tdouble.bin

Classes in hep.aida.tdouble.bin that implement DoubleBufferConsumer
 class AbstractDoubleBin1D
          Abstract base class for all 1-dimensional bins consumes double elements.
 class DynamicDoubleBin1D
          1-dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences.
 class 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.
 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.
 class StaticDoubleBin1D
          1-dimensional non-rebinnable bin consuming double elements; Efficiently computes basic statistics of data sequences.

Parallel Colt 0.7.2

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