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  1. subMatrix :: Element a => (Int, Int) -> (Int, Int) -> Matrix a -> Matrix a

    hmatrix Numeric.LinearAlgebra.Data

    reference to a rectangular slice of a matrix (no data copy)

  2. data GMatrix

    hmatrix Numeric.LinearAlgebra.Devel

    General matrix with specialized internal representations for dense, sparse, diagonal, banded, and constant elements. 

    >>> let m = mkSparse [((0,999),1.0),((1,1999),2.0)]

>>> m
SparseR {gmCSR = CSR {csrVals = fromList [1.0,2.0],
csrCols = fromList [1000,2000],
csrRows = fromList [1,2,3],
csrNRows = 2,
csrNCols = 2000},
nRows = 2,
nCols = 2000}

    >>> let m = mkDense (mat 2 [1..4])

>>> m
Dense {gmDense = (2><2)
[ 1.0, 2.0
, 3.0, 4.0 ], nRows = 2, nCols = 2}

  3. data MatrixOrder

    hmatrix Numeric.LinearAlgebra.Devel

    No documentation available.

  4. data STMatrix s t

    hmatrix Numeric.LinearAlgebra.Devel

    No documentation available.

  5. createMatrix :: Storable a => MatrixOrder -> Int -> Int -> IO (Matrix a)

    hmatrix Numeric.LinearAlgebra.Devel

    No documentation available.

  6. extractMatrix :: Element a => STMatrix t a -> RowRange -> ColRange -> ST s (Matrix a)

    hmatrix Numeric.LinearAlgebra.Devel

    No documentation available.

  7. freezeMatrix :: Element t => STMatrix s t -> ST s (Matrix t)

    hmatrix Numeric.LinearAlgebra.Devel

    No documentation available.

  8. liftMatrix :: (Element a, Element b) => (Vector a -> Vector b) -> Matrix a -> Matrix b

    hmatrix Numeric.LinearAlgebra.Devel

    application of a vector function on the flattened matrix elements

  9. liftMatrix2 :: (Element t, Element a, Element b) => (Vector a -> Vector b -> Vector t) -> Matrix a -> Matrix b -> Matrix t

    hmatrix Numeric.LinearAlgebra.Devel

    application of a vector function on the flattened matrices elements

  10. liftMatrix2Auto :: (Element t, Element a, Element b) => (Vector a -> Vector b -> Vector t) -> Matrix a -> Matrix b -> Matrix t

    hmatrix Numeric.LinearAlgebra.Devel

    A version of liftMatrix2 which automatically adapt matrices with a single row or column to match the dimensions of the other matrix.

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