Uses of Interface
cern.colt.buffer.tfloat.FloatBufferConsumer

Packages that use FloatBufferConsumer

Package	Description
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

Modifier and Type	Class and Description
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

Constructor and Description
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

Modifier and Type	Class and Description
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

Modifier and Type	Class and Description
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.