Package mikera.matrixx.impl

Interface Summary

Interface	Description
IFastBands	Marker interface for matrices with fast banded access.
IFastColumns	Marker interface for matrices with fast column access General intention is that any matrix that implements this must have a fast getColumn(), typically - O(1) time and space - An efficient vector type returned
IFastRows	Marker interface for matrices with fast row access General intention is that any matrix that implements this must have a fast getRow(), typically - O(1) time and space - An efficient vector type returned (a strided vector or better)

Class Summary

Class	Description
AArrayMatrix	Abstract class for a Matrix backed with a single double[] data array Dimensions are fixed, but leaves open the possibility of arbitrary indexing
ABandedMatrix	Abstract base class for banded matrices Banded matrix implementations are assumed to store their data efficiently in diagonal bands, so functions on banded matrices can be designed to exploit this fact.
ABlockMatrix	Abstract base class for a large matrix constructed out of regular subMatrix blocks
ABooleanMatrix	Abstract base class for matrices limited to boolean 0/1 values Such matrices allow for various efficient representations
ADenseArrayMatrix	Abstract base class for matrices wrapping a dense (rows*cols) subset of a double[] array
ADiagonalMatrix	Abstract base class for square diagonal matrices
APrimitiveMatrix	Abstract base class for the small square primitive backed matrices
ARectangularMatrix	Abstract class for regular rectangular matrices that maintain a final fixed row and column count.
ASingleBandMatrix	Abstract base class to represent sparse matrices with a single non-zero band Unlike ADiagonalMatrix, this matrix need not be square, and may have non-zero values on an arbitrary diagonal.
ASparseRCMatrix	Abstract base class for matrices that store sparse rows or columns.
AStridedMatrix	Abstract base class for arbitrary strided matrices
ATriangularMatrix	Abstract base class for densely packed triangular matrices (upper and lower)
AVectorMatrix<T extends AVector>	Abstract base class for matrices that use a collection of Vectors as storage for the matrix rows.
BandedMatrix	Sparse banded matrix implementation.
BaseStridedMatrix
BlockDiagonalMatrix	Class representing a square, block diagonal matrix.
BroadcastVectorMatrix	Specialised class representing the broadcasting of a vector to a matrix shape.
BufferMatrix	A matrix class implemented using a java.nio.DoubleBuffer Intended for use with native libraries that require interop with buffer memory
ColumnMatrix	Matrix class that wraps a vector as a single-column matrix
DenseColumnMatrix	A densely packed matrix organised in column-major format.
DiagonalMatrix	Specialised diagonal matrix class, with dense double[] array storage for the leading diagonal only.
IdentityMatrix	Specialised identity matrix class.
ImmutableMatrix	Immutable dense matrix class This is the immutable equivalent of mikera.matrixx.Matrix
LowerTriangularMatrix	Class for a lower triangular matrix packed densely by rows.
MatrixBandView	Vector class representing a view of a matrix band
MatrixColumnList	Lightweight wrapper for the list of columns of a matrix
MatrixColumnView	A class representing a view of a matrix column as a vector Used where no better implementations for getColumnView(...) on a matrix exist.
MatrixElementIterator	Iterator over matrix elements for an arbitrary matrix
MatrixRowIterator	Iterator over matrix rows
MatrixRowList	Lightweight wrapper for the list of rows of a matrix
MatrixRowView	A class representing a view of a matrix row as a vector.
PermutationMatrix	Class representing a square permutation matrix i.e.
PermutedMatrix	Matrix class representing a permuted view of a matrix
QuadtreeMatrix	A matrix implemented as a quadtree of submatrices.
RowMatrix	Matrix class that wraps a vector as a single-row matrix
ScalarMatrix	Immutable scalar matrix class - a diagonal matrix with an identical value along the leading diagonal.
SparseColumnMatrix	Matrix stored as a collection of normally sparse column vectors This format is especially efficient for: - transposeInnerProduct() with another matrix - access via getColumn() operation - transpose into SparseRowMatrix
SparseRowMatrix	Matrix stored as a collection of normally sparse row vectors.
StridedElementIterator	Iterator over strided matrix array elements.
StridedMatrix	A general purpose strided matrix implementation
StridedRowMatrix	A strided matrix implementation with a column stride of 1 Provides a fast, mutable subMatrix view for the dense Matrix class
SubMatrixView	Matrix class that wraps a SubMatrix of another matrix
TransposedMatrix	Class representing a transposed view of another matrix The transposed matrix is a reference to the underlying matrix data
UpperTriangularMatrix	Class for an upper triangular matrix packed densely by columns.
VectorMatrixM3	Specialised N*3 Matrix with Vector3 row components
VectorMatrixMN	A matrix implemented as a composition of M length N vectors
ZeroMatrix	Lightweight immutable zero matrix class.