Uses of Package
mikera.matrixx.impl

Packages that use mikera.matrixx.impl

Package	Description
mikera.matrixx
mikera.matrixx.decompose
mikera.matrixx.decompose.impl.chol
mikera.matrixx.decompose.impl.lu
mikera.matrixx.impl
mikera.matrixx.solve.impl.lu
mikera.vectorz.impl

Classes in mikera.matrixx.impl used by mikera.matrixx

Class and 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
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.
AStridedMatrix Abstract base class for arbitrary strided matrices
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.
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)
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.
ZeroMatrix Lightweight immutable zero matrix class.

Classes in mikera.matrixx.impl used by mikera.matrixx.decompose

Class and Description
ADiagonalMatrix Abstract base class for square diagonal matrices
PermutationMatrix Class representing a square permutation matrix i.e.

Classes in mikera.matrixx.impl used by mikera.matrixx.decompose.impl.chol

Class and Description
ADiagonalMatrix Abstract base class for square diagonal matrices

Classes in mikera.matrixx.impl used by mikera.matrixx.decompose.impl.lu

Class and Description
PermutationMatrix Class representing a square permutation matrix i.e.

Classes in mikera.matrixx.impl used by mikera.matrixx.impl

Class and 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
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 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.
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)
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.
MatrixColumnView A class representing a view of a matrix column as a vector Used where no better implementations for getColumnView(...) on a matrix exist.
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.
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
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.

Classes in mikera.matrixx.impl used by mikera.matrixx.solve.impl.lu

Class and Description
ADenseArrayMatrix Abstract base class for matrices wrapping a dense (rows*cols) subset of a double[] array

Classes in mikera.matrixx.impl used by mikera.vectorz.impl

Class and Description
AStridedMatrix Abstract base class for arbitrary strided matrices
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.