See: Description
Interface  Description 

Matrix 
The basic interface including numerous convenience functions

MatrixTimesOps 
Optional interface for optimized matrix multiplications.

QR  
Swapper 
Interface for an object that knows how to swap elements at two positions (a,b).

Vector 
The basic interface including numerous convenience functions

Vector.Element 
A holder for information about a specific item in the Vector.

VectorIterable 
Class  Description 

AbstractMatrix 
A few universal implementations of convenience functions for a JVMbacked matrix.

AbstractMatrix.TransposeViewVector  
AbstractVector 
Implementations of generic capabilities like sum of elements and dot products

Algebra  
Arrays 
Array manipulations; complements java.util.Arrays.

BinarySearch  
Centroid 
A centroid is a weighted vector.

CholeskyDecomposition 
Cholesky decomposition shamelessly ported from JAMA.

ConstantVector 
Implements a vector with all the same values.

DelegatingVector 
A delegating vector provides an easy way to decorate vectors with weights or id's and such while
keeping all of the Vector functionality.

DenseMatrix 
Matrix of doubles implemented using a 2d array

DenseSymmetricMatrix 
Economy packaging for a dense symmetric incore matrix.

DenseVector 
Implements vector as an array of doubles

DiagonalMatrix  
FileBasedMatrix 
Provides a way to get data from a file and treat it as if it were a matrix, but avoids putting all that
data onto the Java heap.

FileBasedSparseBinaryMatrix 
Provides a way to get data from a file and treat it as if it were a matrix, but avoids putting
all that data onto the Java heap.

FileBasedSparseBinaryMatrix.BinaryReadOnlyElement  
Matrices  
MatrixSlice  
MatrixVectorView 
Provides a virtual vector that is really a row or column or diagonal of a matrix.

MatrixView 
Implements subset view of a Matrix

MurmurHash 
This is a very fast, noncryptographic hash suitable for general hashbased
lookup.

MurmurHash3 
This produces exactly the same hash values as the final C+
+ * version of MurmurHash3 and is thus suitable for producing the same hash values across
platforms.

NamedVector  
OldQRDecomposition 
partially deprecated until unit tests are in place.

OrderedIntDoubleMapping  
OrthonormalityVerifier  
PermutedVectorView 
Provides a permuted view of a vector.

PersistentObject 
This empty class is the common root for all persistent capable classes.

PivotedMatrix 
Matrix that allows transparent row and column permutation.

QRDecomposition 
For an m x n matrix A with
m >= n , the QR decomposition is an m x n
orthogonal matrix Q and an n x n upper triangular matrix R so that
A = Q*R. 
RandomAccessSparseVector 
Implements vector that only stores nonzero doubles

RandomTrinaryMatrix 
Random matrix.

SequentialAccessSparseVector 
Implements vector that only stores nonzero doubles as a pair of parallel arrays (OrderedIntDoubleMapping),
one int[], one double[].

SingularValueDecomposition  
Sorting  
SparseColumnMatrix  Deprecated
tons of inconsistences.

SparseMatrix 
Doubly sparse matrix.

SparseRowMatrix 
sparse matrix with general element values whose rows are accessible quickly.

TransposedMatrixView 
Matrix View backed by an
IntIntFunction 
UpperTriangular 
Quick and dirty implementation of some
Matrix methods
over packed upper triangular matrix. 
VectorBinaryAggregate 
Abstract class encapsulating different algorithms that perform the Vector operations aggregate().

VectorBinaryAggregate.AggregateAllIterateSequential  
VectorBinaryAggregate.AggregateAllIterateThatLookupThis  
VectorBinaryAggregate.AggregateAllIterateThisLookupThat  
VectorBinaryAggregate.AggregateAllLoop  
VectorBinaryAggregate.AggregateIterateIntersection  
VectorBinaryAggregate.AggregateIterateUnionRandom  
VectorBinaryAggregate.AggregateIterateUnionSequential  
VectorBinaryAggregate.AggregateNonzerosIterateThatLookupThis  
VectorBinaryAggregate.AggregateNonzerosIterateThisLookupThat  
VectorBinaryAssign 
Abstract class encapsulating different algorithms that perform the Vector operations assign().

VectorBinaryAssign.AssignAllIterateSequentialInplaceUpdates  
VectorBinaryAssign.AssignAllIterateSequentialMergeUpdates  
VectorBinaryAssign.AssignAllIterateThatLookupThisInplaceUpdates  
VectorBinaryAssign.AssignAllIterateThatLookupThisMergeUpdates  
VectorBinaryAssign.AssignAllIterateThisLookupThatInplaceUpdates  
VectorBinaryAssign.AssignAllIterateThisLookupThatMergeUpdates  
VectorBinaryAssign.AssignAllLoopInplaceUpdates  
VectorBinaryAssign.AssignAllLoopMergeUpdates  
VectorBinaryAssign.AssignIterateIntersection 
If f(x, 0) = x and f(0, y) = 0 the zeros in x and y don't matter and we can iterate through the nonzeros
in both x and y.

VectorBinaryAssign.AssignIterateUnionRandomInplaceUpdates 
If f(0, 0) = 0 we can iterate through the nonzeros in either x or y.

VectorBinaryAssign.AssignIterateUnionRandomMergeUpdates 
If f(0, 0) = 0 we can iterate through the nonzeros in either x or y.

VectorBinaryAssign.AssignIterateUnionSequentialInplaceUpdates 
If f(0, 0) = 0 we can iterate through the nonzeros in either x or y.

VectorBinaryAssign.AssignIterateUnionSequentialMergeUpdates 
If f(0, 0) = 0 we can iterate through the nonzeros in either x or y.

VectorBinaryAssign.AssignNonzerosIterateThatLookupThisInplaceUpdates 
If f(x, 0) = x, the zeros in y don't matter and we can simply iterate through the nonzeros of y.

VectorBinaryAssign.AssignNonzerosIterateThatLookupThisMergeUpdates 
If f(x, 0) = x, the zeros in y don't matter and we can simply iterate through the nonzeros of y.

VectorBinaryAssign.AssignNonzerosIterateThisLookupThat 
If f(0, y) = 0, the zeros in x don't matter and we can simply iterate through the nonzeros of x.

VectorView 
Implements subset view of a Vector

WeightedVector 
Decorates a vector with a floating point weight and an index.

WeightedVectorComparator 
Orders
WeightedVector by WeightedVector.getWeight() . 
Exception  Description 

CardinalityException 
Exception thrown when there is a cardinality mismatch in matrix or vector operations.

IndexException 
Exception thrown when a matrix or vector is accessed at an index, or dimension,
which does not logically exist in the entity.

Copyright © 2008–2017 The Apache Software Foundation. All rights reserved.