Uses of Interface
cern.colt.buffer.DoubleBufferConsumer

Packages that use DoubleBufferConsumer

Package	Description
cern.colt.buffer	Fixed sized (non resizable) streaming buffers connected to a target objects to which data is automatically flushed upon buffer overflow.
cern.colt.list	Resizable lists holding objects or primitive data types such as int, double, etc.
hep.aida.bin	Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution.

Uses of DoubleBufferConsumer in cern.colt.buffer

Classes in cern.colt.buffer that implement DoubleBufferConsumer

Modifier and Type	Class	Description
class	DoubleBuffer	Fixed sized (non resizable) streaming buffer connected to a target DoubleBufferConsumer to which data is automatically flushed upon buffer overflow.

Fields in cern.colt.buffer declared as DoubleBufferConsumer

Modifier and Type	Field	Description
protected DoubleBufferConsumer	DoubleBuffer.target

Constructors in cern.colt.buffer with parameters of type DoubleBufferConsumer

Constructor	Description
DoubleBuffer(DoubleBufferConsumer target, int capacity)	Constructs and returns a new buffer with the given target.

Uses of DoubleBufferConsumer in cern.colt.list

Classes in cern.colt.list that implement DoubleBufferConsumer

Modifier and Type	Class	Description
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.bin

Classes in hep.aida.bin that implement DoubleBufferConsumer

Modifier and Type	Class	Description
class	AbstractBin1D	Abstract base class for all 1-dimensional bins consumes double elements.
class	DynamicBin1D	1-dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences.
class	MightyStaticBin1D	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	QuantileBin1D	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	StaticBin1D	1-dimensional non-rebinnable bin consuming double elements; Efficiently computes basic statistics of data sequences.