Provides a library of APIs for working with dense, (DOK) sparse and compressed (CRS, CCS, CVS) matrices. Wiki
| Name | Description |
|---|---|
| Matrix | Provides methods to work on a dense matrix. |
| SquareMatrix | Provides methods to work on a square matrix. |
| MatrixCoordinates | Provides methods to work on matrix coordinates. |
| DOKSparseMatrixBase | The base class of DOK sparse matrix. |
| CoordinatesKeyedSparseMatrix | Represents a coordinates keyed DOK sparse matrix. |
| LinearIndexKeyedSparseMatrix | Represents a linear index keyed DOK sparse matrix. |
| DOKSparseMatrixExtensions | Provides extensions to the DOK sparse matrix type. |
| MatrixLinearIndexMode | An enumeration of the matrix linear index mode, if row- or column- major order. |
| MDAS | An enumeration of basic mathematical operations: Multiply, Divide, Add or Subtract. |
| Name | Description |
|---|---|
| CRS | An implementation of the Compressed Row Storage format, also known as Compressed Sparse Row (CSR) or Yale format. |
| CCS | An implementation of the Compressed Column Storage format, also known as Compressed Sparse Column (CSC). |
| CVS | An implementation of the Compressed Value Storage format, a lossless compression of matrices by their entry values. |
| DOKSparseMatrixCompressions | Provides extensions to the DOK sparse matrix type to compress sparse matrices. |
CRS and CCS are two popular matrix compression formats. Both formats can achieve typical compression ratio of 4:1 and up to 76% space savings.
CRS is a tuple of 4 values: