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

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.