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Parallel Colt 0.9.4 | |||||||||
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Packages that use FloatBufferConsumer | |
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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 |
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Classes in cern.colt.buffer.tfloat that implement FloatBufferConsumer | |
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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 | |
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FloatBuffer(FloatBufferConsumer target,
int capacity)
Constructs and returns a new buffer with the given target. |
Uses of FloatBufferConsumer in cern.colt.list.tfloat |
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Classes in cern.colt.list.tfloat that implement FloatBufferConsumer | |
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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 |
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Classes in hep.aida.tfloat.bin that implement FloatBufferConsumer | |
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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. |
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