Parallel Colt 0.7.2

Uses of Interface

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

Uses of FloatBufferConsumer in cern.colt.buffer.tfloat

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

Constructors in cern.colt.buffer.tfloat with parameters of type FloatBufferConsumer
FloatBuffer(FloatBufferConsumer target, int capacity)
          Constructs and returns a new buffer with the given target.

Uses of FloatBufferConsumer in cern.colt.list.tfloat

Classes in cern.colt.list.tfloat that implement FloatBufferConsumer
 class AbstractFloatList
          Abstract base class for resizable lists holding float elements; abstract.
 class FloatArrayList
          Resizable list holding float elements; implemented with arrays.

Uses of FloatBufferConsumer in hep.aida.tfloat.bin

Classes in hep.aida.tfloat.bin that implement FloatBufferConsumer
 class AbstractFloatBin1D
          Abstract base class for all 1-dimensional bins consumes float elements.
 class DynamicFloatBin1D
          1-dimensional rebinnable bin holding float elements; Efficiently computes advanced statistics of data sequences.
 class MightyStaticFloatBin1D
          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 QuantileFloatBin1D
          1-dimensional non-rebinnable bin holding float 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 StaticFloatBin1D
          1-dimensional non-rebinnable bin consuming float elements; Efficiently computes basic statistics of data sequences.

Parallel Colt 0.7.2

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