sm

package

v0.0.0-...-4977366 Latest Latest Go to latest Published: Apr 3, 2019 License: MIT Imports: 2 Imported by: 5

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type SparseMatrix struct {
	Indices []SparseMatrixIndex
	Values  []float64
}

SparseMatrix is a sparse matrix implementation

func CreateSparseMatrix() SparseMatrix

CreateSparseMatrix returns an empty sparse matrix

func (s *SparseMatrix) Add(smi SparseMatrixIndex, value float64)

Add add the value to the value specified by the index

func (s SparseMatrix) Equal(other SparseMatrix) bool

Equal returns true if equal, false if not equal

func (s SparseMatrix) Get(smi SparseMatrixIndex) (float64, error)

Get returns the value specified by the index, or -1.0 and an error otherwise

func (s SparseMatrix) Mul(smi SparseMatrixIndex, value float64)

Mul multiplies the value to the value specified by the index

func (s SparseMatrix) Scale(value float64)

Scale multiplies the value to all cells

func (s *SparseMatrix) Set(smi SparseMatrixIndex, value float64)

Set set the value specified by the index

type SparseMatrixIndex []int

SparseMatrixIndex is the index of the tensor, e.g. index can be (0,1) or (0,1,23), referencing a cell in a 2d or 3d matrix

func (si SparseMatrixIndex) Equal(other SparseMatrixIndex) bool

Equal return true of the indices are equal