Uses of Class
cern.colt.PersistentObject

Packages that use PersistentObject

cern.colt.buffer.tdouble	Fixed sized (non resizable) streaming buffers holding double elements connected to a target objects to which data is automatically flushed upon buffer overflow.
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.buffer.tint	Fixed sized (non resizable) streaming buffers holding int elements connected to a target objects to which data is automatically flushed upon buffer overflow.
cern.colt.buffer.tobject	Fixed sized (non resizable) streaming buffers holding Object elements 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.
cern.colt.list.tboolean	Resizable list holding elements of boolean data type.
cern.colt.list.tbyte	Resizable list holding elements of byte data type.
cern.colt.list.tchar	Resizable list holding elements of char data type.
cern.colt.list.tdouble	Resizable list holding elements of double data type.
cern.colt.list.tfloat	Resizable list holding elements of float data type.
cern.colt.list.tint	Resizable list holding elements of int data type.
cern.colt.list.tlong	Resizable list holding elements of long data type.
cern.colt.list.tobject	Resizable list holding elements of Object data type.
cern.colt.list.tshort	Resizable list holding elements of short data type.
cern.colt.map.tdouble	Automatically growing and shrinking map holding elements of double data type.
cern.colt.map.tfloat	Automatically growing and shrinking map holding elements of float data type.
cern.colt.map.tint	Automatically growing and shrinking map holding elements of int data type.
cern.colt.map.tobject	Automatically growing and shrinking map holding elements of Object data type.
cern.colt.matrix	Matrix interfaces and factories; efficient and flexible dense and sparse 1, 2, 3-dimensional matrices holding objects or primitive data types such as int, double, etc; Templated, fixed sized (not dynamically resizable); Also known as multi-dimensional arrays or Data Cubes.
cern.colt.matrix.tbit	Bit vectors and bit matrices.
cern.colt.matrix.tdcomplex	Matrix interfaces and factories holding elements of dcomplex data type.
cern.colt.matrix.tdcomplex.impl	Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of dcomplex data type.
cern.colt.matrix.tdouble	Matrix interfaces and factories holding elements of double data type.
cern.colt.matrix.tdouble.algo	Linear Algebraic matrix computations operating on DoubleMatrix2D and DoubleMatrix1D.
cern.colt.matrix.tdouble.impl	Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of double data type.
cern.colt.matrix.tfcomplex	Matrix interfaces and factories holding elements of fcomplex data type.
cern.colt.matrix.tfcomplex.impl	Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of fcomplex data type.
cern.colt.matrix.tfloat	Matrix interfaces and factories holding elements of float data type.
cern.colt.matrix.tfloat.algo	Linear Algebraic matrix computations operating on FloatMatrix2D and FloatMatrix1D.
cern.colt.matrix.tfloat.impl	Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of float data type.
cern.colt.matrix.tint	Matrix interfaces and factories holding elements of int data type.
cern.colt.matrix.tint.algo	Algorithms operating on integer matrices.
cern.colt.matrix.tint.impl	Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of int data type.
cern.colt.matrix.tobject	Matrix interfaces and factories holding elements of Object data type.
cern.colt.matrix.tobject.algo	Object matrix algorithms such as print formatting, sorting, partitioning and statistics.
cern.colt.matrix.tobject.impl	Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of Object data type.
cern.jet.random.tdouble	Large variety of probability distributions featuring high performance generation of random numbers, CDF's and PDF's.
cern.jet.random.tdouble.engine	Engines generating strong uniformly distributed pseudo-random numbers; Needed by all JET probability distributions since they rely on uniform random numbers to generate random numbers from their own distribution.
cern.jet.random.tdouble.sampling	Samples (picks) random subsets of data sequences.
cern.jet.random.tfloat	Large variety of probability distributions featuring high performance generation of random numbers, CDF's and PDF's.
cern.jet.random.tfloat.engine	Engines generating strong uniformly distributed pseudo-random numbers; Needed by all JET probability distributions since they rely on uniform random numbers to generate random numbers from their own distribution.
cern.jet.random.tfloat.sampling	Samples (picks) random subsets of data sequences.
cern.jet.stat	Tools for basic and advanced statistics: Estimators, Gamma functions, Beta functions, Probabilities, Special integrals, etc.
cern.jet.stat.tdouble.quantile	Scalable algorithms and data structures to compute approximate quantiles over very large data sequences.
cern.jet.stat.tfloat.quantile	Scalable algorithms and data structures to compute approximate quantiles over very large data sequences.
hep.aida.tdouble.bin	Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution.
hep.aida.tfloat.bin	Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution.

Uses of PersistentObject in cern.colt.buffer.tdouble

Subclasses of PersistentObject in cern.colt.buffer.tdouble

class	DoubleBuffer Fixed sized (non resizable) streaming buffer connected to a target DoubleBufferConsumer to which data is automatically flushed upon buffer overflow.
class	DoubleBuffer2D Fixed sized (non resizable) streaming buffer connected to a target DoubleBuffer2DConsumer to which data is automatically flushed upon buffer overflow.
class	DoubleBuffer3D Fixed sized (non resizable) streaming buffer connected to a target DoubleBuffer3DConsumer to which data is automatically flushed upon buffer overflow.

Uses of PersistentObject in cern.colt.buffer.tfloat

Subclasses of PersistentObject in cern.colt.buffer.tfloat

class	FloatBuffer Fixed sized (non resizable) streaming buffer connected to a target FloatBufferConsumer to which data is automatically flushed upon buffer overflow.
class	FloatBuffer2D Fixed sized (non resizable) streaming buffer connected to a target FloatBuffer2DConsumer to which data is automatically flushed upon buffer overflow.
class	FloatBuffer3D Fixed sized (non resizable) streaming buffer connected to a target FloatBuffer3DConsumer to which data is automatically flushed upon buffer overflow.

Uses of PersistentObject in cern.colt.buffer.tint

Subclasses of PersistentObject in cern.colt.buffer.tint

class	IntBuffer Fixed sized (non resizable) streaming buffer connected to a target IntBufferConsumer to which data is automatically flushed upon buffer overflow.
class	IntBuffer2D Fixed sized (non resizable) streaming buffer connected to a target IntBuffer2DConsumer to which data is automatically flushed upon buffer overflow.
class	IntBuffer3D Fixed sized (non resizable) streaming buffer connected to a target IntBuffer3DConsumer to which data is automatically flushed upon buffer overflow.

Uses of PersistentObject in cern.colt.buffer.tobject

Subclasses of PersistentObject in cern.colt.buffer.tobject

class

ObjectBuffer Fixed sized (non resizable) streaming buffer connected to a target ObjectBufferConsumer to which data is automatically flushed upon buffer overflow.

Uses of PersistentObject in cern.colt.list

Subclasses of PersistentObject in cern.colt.list

class	AbstractCollection Abstract base class for resizable collections holding objects or primitive data types such as int, float, etc.
class	AbstractList Abstract base class for resizable lists holding objects or primitive data types such as int, float, etc.

Uses of PersistentObject in cern.colt.list.tboolean

Subclasses of PersistentObject in cern.colt.list.tboolean

class	AbstractBooleanList Abstract base class for resizable lists holding boolean elements; abstract.
class	BooleanArrayList Resizable list holding boolean elements; implemented with arrays.

Uses of PersistentObject in cern.colt.list.tbyte

Subclasses of PersistentObject in cern.colt.list.tbyte

class	AbstractByteList Abstract base class for resizable lists holding byte elements; abstract.
class	ByteArrayList Resizable list holding byte elements; implemented with arrays.

Uses of PersistentObject in cern.colt.list.tchar

Subclasses of PersistentObject in cern.colt.list.tchar

class	AbstractCharList Abstract base class for resizable lists holding char elements; abstract.
class	CharArrayList Resizable list holding char elements; implemented with arrays.

Uses of PersistentObject in cern.colt.list.tdouble

Subclasses of PersistentObject in cern.colt.list.tdouble

class	AbstractDoubleList Abstract base class for resizable lists holding double elements; abstract.
class	DoubleArrayList Resizable list holding double elements; implemented with arrays.

Uses of PersistentObject in cern.colt.list.tfloat

Subclasses of PersistentObject in cern.colt.list.tfloat

class	AbstractFloatList Abstract base class for resizable lists holding float elements; abstract.
class	FloatArrayList Resizable list holding float elements; implemented with arrays.

Uses of PersistentObject in cern.colt.list.tint

Subclasses of PersistentObject in cern.colt.list.tint

class	AbstractIntList Abstract base class for resizable lists holding int elements; abstract.
class	IntArrayList Resizable list holding int elements; implemented with arrays.

Uses of PersistentObject in cern.colt.list.tlong

Subclasses of PersistentObject in cern.colt.list.tlong

class	AbstractLongList Abstract base class for resizable lists holding long elements; abstract.
class	DistinctNumberList Resizable compressed list holding numbers; based on the fact that a number from a large list with few distinct values need not take more than log(distinctValues) bits; implemented with a MinMaxNumberList.
class	LongArrayList Resizable list holding long elements; implemented with arrays.
class	MinMaxNumberList Resizable compressed list holding numbers; based on the fact that a value in a given interval need not take more than log(max-min+1) bits; implemented with a cern.colt.bitvector.BitVector.
class	SimpleLongArrayList Resizable list holding long elements; implemented with arrays; not efficient; just to demonstrate which methods you must override to implement a fully functional list.

Uses of PersistentObject in cern.colt.list.tobject

Subclasses of PersistentObject in cern.colt.list.tobject

class

ObjectArrayList Resizable list holding Object elements; implemented with arrays.

Uses of PersistentObject in cern.colt.list.tshort

Subclasses of PersistentObject in cern.colt.list.tshort

class	AbstractShortList Abstract base class for resizable lists holding short elements; abstract.
class	ShortArrayList Resizable list holding short elements; implemented with arrays.

Uses of PersistentObject in cern.colt.map.tdouble

Subclasses of PersistentObject in cern.colt.map.tdouble

class	AbstractDoubleIntMap Abstract base class for hash maps holding (key,value) associations of type (double-->int).
class	AbstractDoubleMap Abstract base class for hash maps holding objects or primitive data types such as int, float, etc.
class	AbstractIntDoubleMap Abstract base class for hash maps holding (key,value) associations of type (int-->double).
class	AbstractLongDoubleMap Abstract base class for hash maps holding (key,value) associations of type (int-->double).
class	OpenDoubleIntHashMap Hash map holding (key,value) associations of type (double-->int); Automatically grows and shrinks as needed; Implemented using open addressing with double hashing.
class	OpenIntDoubleHashMap Hash map holding (key,value) associations of type (int-->double); Automatically grows and shrinks as needed; Implemented using open addressing with double hashing.
class	OpenLongDoubleHashMap Hash map holding (key,value) associations of type (int-->double); Automatically grows and shrinks as needed; Implemented using open addressing with double hashing.

Uses of PersistentObject in cern.colt.map.tfloat

Subclasses of PersistentObject in cern.colt.map.tfloat

class	AbstractFloatIntMap Abstract base class for hash maps holding (key,value) associations of type (float-->int).
class	AbstractFloatMap Abstract base class for hash maps holding objects or primitive data types such as int, float, etc.
class	AbstractIntFloatMap Abstract base class for hash maps holding (key,value) associations of type (int-->float).
class	AbstractLongFloatMap Abstract base class for hash maps holding (key,value) associations of type (int-->float).
class	OpenFloatIntHashMap Hash map holding (key,value) associations of type (float-->int); Automatically grows and shrinks as needed; Implemented using open addressing with float hashing.
class	OpenIntFloatHashMap Hash map holding (key,value) associations of type (int-->float); Automatically grows and shrinks as needed; Implemented using open addressing with float hashing.
class	OpenLongFloatHashMap Hash map holding (key,value) associations of type (int-->float); Automatically grows and shrinks as needed; Implemented using open addressing with float hashing.

Uses of PersistentObject in cern.colt.map.tint

Subclasses of PersistentObject in cern.colt.map.tint

class	AbstractIntIntMap Abstract base class for hash maps holding (key,value) associations of type (int-->int).
class	OpenIntIntHashMap Hash map holding (key,value) associations of type (int-->int); Automatically grows and shrinks as needed; Implemented using open addressing with double hashing.
class	QuickOpenIntIntHashMap Status: Experimental; Do not use for production yet.

Uses of PersistentObject in cern.colt.map.tobject

Subclasses of PersistentObject in cern.colt.map.tobject

class	AbstractIntObjectMap Abstract base class for hash maps holding (key,value) associations of type (int-->Object).
class	AbstractLongObjectMap Abstract base class for hash maps holding (key,value) associations of type (long-->Object).
class	OpenIntObjectHashMap Hash map holding (key,value) associations of type (int-->Object); Automatically grows and shrinks as needed; Implemented using open addressing with double hashing.
class	OpenLongObjectHashMap Hash map holding (key,value) associations of type (long-->Object); Automatically grows and shrinks as needed; Implemented using open addressing with double hashing.

Uses of PersistentObject in cern.colt.matrix

Subclasses of PersistentObject in cern.colt.matrix

class	AbstractFormatter Abstract base class for flexible, well human readable matrix print formatting.
class	AbstractMatrix Abstract base class for arbitrary-dimensional matrices holding objects or primitive data types such as int, float, etc.
class	AbstractMatrix1D Abstract base class for 1-d matrices (aka vectors) holding objects or primitive data types such as int, double, etc.
class	AbstractMatrix2D Abstract base class for 2-d matrices holding objects or primitive data types such as int, double, etc.
class	AbstractMatrix3D Abstract base class for 3-d matrices holding objects or primitive data types such as int, double, etc.

Uses of PersistentObject in cern.colt.matrix.tbit

Subclasses of PersistentObject in cern.colt.matrix.tbit

class	BitMatrix Fixed sized (non resizable) n*m bit matrix.
class	BitVector Fixed sized (non resizable) bitvector.

Uses of PersistentObject in cern.colt.matrix.tdcomplex

Subclasses of PersistentObject in cern.colt.matrix.tdcomplex

class	DComplexFactory1D Factory for convenient construction of 1-d matrices holding complex cells.
class	DComplexFactory2D Factory for convenient construction of 2-d matrices holding complex cells.
class	DComplexFactory3D Factory for convenient construction of 3-d matrices holding complex cells.
class	DComplexMatrix1D Abstract base class for 1-d matrices (aka vectors) holding complex elements.
class	DComplexMatrix2D Abstract base class for 2-d matrices holding complex elements.
class	DComplexMatrix3D Abstract base class for 3-d matrices holding complex elements.

Uses of PersistentObject in cern.colt.matrix.tdcomplex.impl

Subclasses of PersistentObject in cern.colt.matrix.tdcomplex.impl

class	DenseDComplexMatrix1D Dense 1-d matrix (aka vector) holding complex elements.
class	DenseDComplexMatrix2D Dense 2-d matrix holding complex elements.
class	DenseDComplexMatrix3D Dense 3-d matrix holding complex elements.
class	SparseDComplexMatrix1D Sparse hashed 1-d matrix (aka vector) holding complex elements.
class	SparseDComplexMatrix2D Sparse hashed 2-d matrix holding complex elements.
class	SparseDComplexMatrix3D Sparse hashed 3-d matrix holding complex elements.

Uses of PersistentObject in cern.colt.matrix.tdouble

Subclasses of PersistentObject in cern.colt.matrix.tdouble

class	DoubleFactory1D Factory for convenient construction of 1-d matrices holding double cells.
class	DoubleFactory2D Factory for convenient construction of 2-d matrices holding double cells.
class	DoubleFactory3D Factory for convenient construction of 3-d matrices holding double cells.
class	DoubleMatrix1D Abstract base class for 1-d matrices (aka vectors) holding double elements.
class	DoubleMatrix2D Abstract base class for 2-d matrices holding double elements.
class	DoubleMatrix3D Abstract base class for 3-d matrices holding double elements.

Uses of PersistentObject in cern.colt.matrix.tdouble.algo

Subclasses of PersistentObject in cern.colt.matrix.tdouble.algo

class	DoubleAlgebra Linear algebraic matrix operations operating on DoubleMatrix2D; concentrates most functionality of this package.
class	DoubleFormatter Flexible, well human readable matrix print formatting; By default decimal point aligned.
class	DoubleProperty Tests matrices for linear algebraic properties (equality, tridiagonality, symmetry, singularity, etc).
class	DoubleSorting Matrix quicksorts and mergesorts.

Uses of PersistentObject in cern.colt.matrix.tdouble.impl

Subclasses of PersistentObject in cern.colt.matrix.tdouble.impl

class	CCDoubleMatrix2D Sparse row-compressed 2-d matrix holding double elements.
class	CCMDoubleMatrix2D Sparse column-compressed-modified 2-d matrix holding double elements.
class	DenseColDoubleMatrix2D Dense 2-d matrix holding double elements.
class	DenseDoubleMatrix1D Dense 1-d matrix (aka vector) holding double elements.
class	DenseDoubleMatrix2D Dense 2-d matrix holding double elements.
class	DenseDoubleMatrix3D Dense 3-d matrix holding double elements.
class	DiagonalDoubleMatrix2D Diagonal 2-d matrix holding double elements.
class	RCDoubleMatrix2D Sparse row-compressed 2-d matrix holding double elements.
class	RCMDoubleMatrix2D Sparse row-compressed-modified 2-d matrix holding double elements.
class	SparseDoubleMatrix1D Sparse hashed 1-d matrix (aka vector) holding double elements.
class	SparseDoubleMatrix2D Sparse hashed 2-d matrix holding double elements.
class	SparseDoubleMatrix3D Sparse hashed 3-d matrix holding double elements.
class	TridiagonalDoubleMatrix2D Tridiagonal 2-d matrix holding double elements.
class	WrapperDoubleMatrix1D 1-d matrix holding double elements; either a view wrapping another matrix or a matrix whose views are wrappers.
class	WrapperDoubleMatrix2D 2-d matrix holding double elements; either a view wrapping another matrix or a matrix whose views are wrappers.

Uses of PersistentObject in cern.colt.matrix.tfcomplex

Subclasses of PersistentObject in cern.colt.matrix.tfcomplex

class	FComplexFactory1D Factory for convenient construction of 1-d matrices holding complex cells.
class	FComplexFactory2D Factory for convenient construction of 2-d matrices holding complex cells.
class	FComplexFactory3D Factory for convenient construction of 3-d matrices holding complex cells.
class	FComplexMatrix1D Abstract base class for 1-d matrices (aka vectors) holding complex elements.
class	FComplexMatrix2D Abstract base class for 2-d matrices holding complex elements.
class	FComplexMatrix3D Abstract base class for 3-d matrices holding complex elements.

Uses of PersistentObject in cern.colt.matrix.tfcomplex.impl

Subclasses of PersistentObject in cern.colt.matrix.tfcomplex.impl

class	DenseFComplexMatrix1D Dense 1-d matrix (aka vector) holding complex elements.
class	DenseFComplexMatrix2D Dense 2-d matrix holding complex elements.
class	DenseFComplexMatrix3D Dense 3-d matrix holding complex elements.
class	SparseFComplexMatrix1D Sparse hashed 1-d matrix (aka vector) holding complex elements.
class	SparseFComplexMatrix2D Sparse hashed 2-d matrix holding complex elements.
class	SparseFComplexMatrix3D Sparse hashed 3-d matrix holding complex elements.

Uses of PersistentObject in cern.colt.matrix.tfloat

Subclasses of PersistentObject in cern.colt.matrix.tfloat

class	FloatFactory1D Factory for convenient construction of 1-d matrices holding float cells.
class	FloatFactory2D Factory for convenient construction of 2-d matrices holding float cells.
class	FloatFactory3D Factory for convenient construction of 3-d matrices holding float cells.
class	FloatMatrix1D Abstract base class for 1-d matrices (aka vectors) holding float elements.
class	FloatMatrix2D Abstract base class for 2-d matrices holding float elements.
class	FloatMatrix3D Abstract base class for 3-d matrices holding float elements.

Uses of PersistentObject in cern.colt.matrix.tfloat.algo

Subclasses of PersistentObject in cern.colt.matrix.tfloat.algo

class	FloatAlgebra Linear algebraic matrix operations operating on FloatMatrix2D; concentrates most functionality of this package.
class	FloatFormatter Flexible, well human readable matrix print formatting; By default decimal point aligned.
class	FloatProperty Tests matrices for linear algebraic properties (equality, tridiagonality, symmetry, singularity, etc).
class	FloatSorting Matrix quicksorts and mergesorts.

Uses of PersistentObject in cern.colt.matrix.tfloat.impl

Subclasses of PersistentObject in cern.colt.matrix.tfloat.impl

class	CCFloatMatrix2D Sparse row-compressed 2-d matrix holding float elements.
class	CCMFloatMatrix2D Sparse column-compressed-modified 2-d matrix holding float elements.
class	DenseColFloatMatrix2D Dense 2-d matrix holding float elements.
class	DenseFloatMatrix1D Dense 1-d matrix (aka vector) holding float elements.
class	DenseFloatMatrix2D Dense 2-d matrix holding float elements.
class	DenseFloatMatrix3D Dense 3-d matrix holding float elements.
class	DiagonalFloatMatrix2D Diagonal 2-d matrix holding float elements.
class	RCFloatMatrix2D Sparse row-compressed 2-d matrix holding float elements.
class	RCMFloatMatrix2D Sparse row-compressed-modified 2-d matrix holding float elements.
class	SparseFloatMatrix1D Sparse hashed 1-d matrix (aka vector) holding float elements.
class	SparseFloatMatrix2D Sparse hashed 2-d matrix holding float elements.
class	SparseFloatMatrix3D Sparse hashed 3-d matrix holding float elements.
class	WrapperFloatMatrix1D 1-d matrix holding float elements; either a view wrapping another matrix or a matrix whose views are wrappers.
class	WrapperFloatMatrix2D 2-d matrix holding float elements; either a view wrapping another matrix or a matrix whose views are wrappers.

Uses of PersistentObject in cern.colt.matrix.tint

Subclasses of PersistentObject in cern.colt.matrix.tint

class	IntFactory1D Factory for convenient construction of 1-d matrices holding int cells.
class	IntFactory2D Factory for convenient construction of 2-d matrices holding int cells.
class	IntFactory3D Factory for convenient construction of 3-d matrices holding int cells.
class	IntMatrix1D Abstract base class for 1-d matrices (aka vectors) holding int elements.
class	IntMatrix2D Abstract base class for 2-d matrices holding int elements.
class	IntMatrix3D Abstract base class for 3-d matrices holding int elements.

Uses of PersistentObject in cern.colt.matrix.tint.algo

Subclasses of PersistentObject in cern.colt.matrix.tint.algo

class	IntFormatter Flexible, well human readable matrix print formatting; By default decimal point aligned.
class	IntProperty Tests matrices for linear algebraic properties (equality, tridiagonality, symmetry, singularity, etc).
class	IntSorting Matrix quicksorts and mergesorts.

Uses of PersistentObject in cern.colt.matrix.tint.impl

Subclasses of PersistentObject in cern.colt.matrix.tint.impl

class	DenseIntMatrix1D Dense 1-d matrix (aka vector) holding int elements.
class	DenseIntMatrix2D Dense 2-d matrix holding int elements.
class	DenseIntMatrix3D Dense 3-d matrix holding int elements.
class	RCIntMatrix2D Sparse row-compressed 2-d matrix holding int elements.
class	SparseIntMatrix1D Sparse hashed 1-d matrix (aka vector) holding int elements.
class	SparseIntMatrix2D Sparse hashed 2-d matrix holding int elements.
class	SparseIntMatrix3D Sparse hashed 3-d matrix holding int elements.
class	WrapperIntMatrix1D 1-d matrix holding int elements; either a view wrapping another matrix or a matrix whose views are wrappers.
class	WrapperIntMatrix2D 2-d matrix holding int elements; either a view wrapping another matrix or a matrix whose views are wrappers.

Uses of PersistentObject in cern.colt.matrix.tobject

Subclasses of PersistentObject in cern.colt.matrix.tobject

class	ObjectFactory1D Factory for convenient construction of 1-d matrices holding Object cells.
class	ObjectFactory2D Factory for convenient construction of 2-d matrices holding Object cells.
class	ObjectFactory3D Factory for convenient construction of 3-d matrices holding Object cells.
class	ObjectMatrix1D Abstract base class for 1-d matrices (aka vectors) holding Object elements.
class	ObjectMatrix2D Abstract base class for 2-d matrices holding Object elements.
class	ObjectMatrix3D Abstract base class for 3-d matrices holding Object elements.

Uses of PersistentObject in cern.colt.matrix.tobject.algo

Subclasses of PersistentObject in cern.colt.matrix.tobject.algo

class	ObjectFormatter Flexible, well human readable matrix print formatting.
class	ObjectSorting Matrix quicksorts and mergesorts.

Uses of PersistentObject in cern.colt.matrix.tobject.impl

Subclasses of PersistentObject in cern.colt.matrix.tobject.impl

class	DenseObjectMatrix1D Dense 1-d matrix (aka vector) holding Object elements.
class	DenseObjectMatrix2D Dense 2-d matrix holding Object elements.
class	DenseObjectMatrix3D Dense 3-d matrix holding Object elements.
class	SparseObjectMatrix1D Sparse hashed 1-d matrix (aka vector) holding Object elements.
class	SparseObjectMatrix2D Sparse hashed 2-d matrix holding Object elements.
class	SparseObjectMatrix3D Sparse hashed 3-d matrix holding Object elements.

Uses of PersistentObject in cern.jet.random.tdouble

Subclasses of PersistentObject in cern.jet.random.tdouble

class	AbstractContinousDoubleDistribution Abstract base class for all continous distributions.
class	AbstractDiscreteDistribution Abstract base class for all discrete distributions.
class	AbstractDoubleDistribution Abstract base class for all random distributions.
class	Beta Beta distribution; math definition and animated definition.
class	Binomial Binomial distribution; See the math definition and animated definition.
class	BreitWigner BreitWigner (aka Lorentz) distribution; See the math definition.
class	BreitWignerMeanSquare Mean-square BreitWigner distribution; See the math definition.
class	ChiSquare ChiSquare distribution; See the math definition and animated definition.
class	DoubleUniform Uniform distribution; Math definition and animated definition.
class	Empirical Empirical distribution.
class	EmpiricalWalker Discrete Empirical distribution (pdf's can be specified).
class	Exponential Exponential Distribution (aka Negative Exponential Distribution); See the math definition animated definition.
class	ExponentialPower Exponential Power distribution.
class	Gamma Gamma distribution; math definition, definition of gamma function and animated definition.
class	Hyperbolic Hyperbolic distribution.
class	HyperGeometric HyperGeometric distribution; See the math definition The hypergeometric distribution with parameters N, n and s is the probability distribution of the random variable X, whose value is the number of successes in a sample of n items from a population of size N that has s 'success' items and N - s 'failure' items.
class	Logarithmic Logarithmic distribution.
class	NegativeBinomial Negative Binomial distribution; See the math definition.
class	Normal Normal (aka Gaussian) distribution; See the math definition and animated definition.
class	Poisson Poisson distribution (quick); See the math definition and animated definition.
class	PoissonSlow Poisson distribution; See the math definition and animated definition.
class	StudentT StudentT distribution (aka T-distribution); See the math definition and animated definition.
class	VonMises Von Mises distribution.
class	Zeta Zeta distribution.

Uses of PersistentObject in cern.jet.random.tdouble.engine

Subclasses of PersistentObject in cern.jet.random.tdouble.engine

class	DoubleMersenneTwister MersenneTwister (MT19937) is one of the strongest uniform pseudo-random number generators known so far; at the same time it is quick.
class	DoubleRandomEngine Abstract base class for uniform pseudo-random number generating engines.
class	DRand Quick medium quality uniform pseudo-random number generator.
class	MersenneTwister64 Same as MersenneTwister except that method raw() returns 64 bit random numbers instead of 32 bit random numbers.
class	RandomSeedGenerator Deterministic seed generator for pseudo-random number generators.

Uses of PersistentObject in cern.jet.random.tdouble.sampling

Subclasses of PersistentObject in cern.jet.random.tdouble.sampling

class	DoubleRandomSampler Space and time efficiently computes a sorted Simple Random Sample Without Replacement (SRSWOR), that is, a sorted set of n random numbers from an interval of N numbers; Example: Computing n=3 random numbers from the interval [1,50] may yield the sorted random set (7,13,47).
class	DoubleRandomSamplingAssistant Conveniently computes a stable Simple Random Sample Without Replacement (SRSWOR) subsequence of n elements from a given input sequence of N elements; Example: Computing a sublist of n=3 random elements from a list (1,...,50) may yield the sublist (7,13,47).
class	WeightedDoubleRandomSampler Conveniently computes a stable subsequence of elements from a given input sequence; Picks (samples) exactly one random element from successive blocks of weight input elements each.

Uses of PersistentObject in cern.jet.random.tfloat

Subclasses of PersistentObject in cern.jet.random.tfloat

class	AbstractContinousFloatDistribution Abstract base class for all continous distributions.
class	AbstractFloatDistribution Abstract base class for all random distributions.
class	FloatUniform Uniform distribution; Math definition and animated definition.

Uses of PersistentObject in cern.jet.random.tfloat.engine

Subclasses of PersistentObject in cern.jet.random.tfloat.engine

class	FloatMersenneTwister MersenneTwister (MT19937) is one of the strongest uniform pseudo-random number generators known so far; at the same time it is quick.
class	FloatRandomEngine Abstract base class for uniform pseudo-random number generating engines.
class	FRand Quick medium quality uniform pseudo-random number generator.

Uses of PersistentObject in cern.jet.random.tfloat.sampling

Subclasses of PersistentObject in cern.jet.random.tfloat.sampling

class	FloatRandomSampler Space and time efficiently computes a sorted Simple Random Sample Without Replacement (SRSWOR), that is, a sorted set of n random numbers from an interval of N numbers; Example: Computing n=3 random numbers from the interval [1,50] may yield the sorted random set (7,13,47).
class	FloatRandomSamplingAssistant Conveniently computes a stable Simple Random Sample Without Replacement (SRSWOR) subsequence of n elements from a given input sequence of N elements; Example: Computing a sublist of n=3 random elements from a list (1,...,50) may yield the sublist (7,13,47).
class	WeightedFloatRandomSampler Conveniently computes a stable subsequence of elements from a given input sequence; Picks (samples) exactly one random element from successive blocks of weight input elements each.

Uses of PersistentObject in cern.jet.stat

Subclasses of PersistentObject in cern.jet.stat

class	Buffer A buffer holding elements; internally used for computing approximate quantiles.
class	BufferSet An abstract set of buffers; internally used for computing approximate quantiles.

Uses of PersistentObject in cern.jet.stat.tdouble.quantile

Subclasses of PersistentObject in cern.jet.stat.tdouble.quantile

class	DoubleEquiDepthHistogram Read-only equi-depth histogram for selectivity estimation.
class	ExactDoubleQuantileFinder Exact quantile finding algorithm for known and unknown N requiring large main memory; computes quantiles over a sequence of double elements.

Uses of PersistentObject in cern.jet.stat.tfloat.quantile

Subclasses of PersistentObject in cern.jet.stat.tfloat.quantile

class

FloatEquiDepthHistogram Read-only equi-depth histogram for selectivity estimation.

Uses of PersistentObject in hep.aida.tdouble.bin

Subclasses of PersistentObject in hep.aida.tdouble.bin

class	AbstractDoubleBin Abstract base class for all arbitrary-dimensional bins consumes double elements.
class	AbstractDoubleBin1D Abstract base class for all 1-dimensional bins consumes double elements.
class	DynamicDoubleBin1D 1-dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences.
class	MightyStaticDoubleBin1D 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	QuantileDoubleBin1D 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	StaticDoubleBin1D 1-dimensional non-rebinnable bin consuming double elements; Efficiently computes basic statistics of data sequences.

Uses of PersistentObject in hep.aida.tfloat.bin

Subclasses of PersistentObject in hep.aida.tfloat.bin

class	AbstractFloatBin Abstract base class for all arbitrary-dimensional bins consumes float elements.
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.