eigen-2.1.7: Eigen C++ library (linear algebra: matrices, sparse matrices, vectors, numerical solvers).

Data.Eigen.SparseMatrix.Mutable

Synopsis

# Mutable SparseMatrix

data IOSparseMatrix a b where Source #

Mutable version of sparse matrix. See SparseMatrix for details about matrix layout.

Constructors

 IOSparseMatrix :: Elem a b => !(ForeignPtr (CSparseMatrix a b)) -> IOSparseMatrix a b

Alias for single precision mutable matrix

Alias for double precision mutable matrix

Alias for single previsiom mutable matrix of complex numbers

Alias for double prevision mutable matrix of complex numbers

new :: Elem a b => Int -> Int -> IO (IOSparseMatrix a b) Source #

Creates new matrix with the given size rows x cols

reserve :: Elem a b => IOSparseMatrix a b -> Int -> IO () Source #

Preallocates space for non zeros. The matrix must be in compressed mode.

# Matrix properties

rows :: Elem a b => IOSparseMatrix a b -> IO Int Source #

Returns the number of rows of the matrix

cols :: Elem a b => IOSparseMatrix a b -> IO Int Source #

Returns the number of columns of the matrix

innerSize :: Elem a b => IOSparseMatrix a b -> IO Int Source #

Returns the number of rows (resp. columns) of the matrix if the storage order column major (resp. row major)

outerSize :: Elem a b => IOSparseMatrix a b -> IO Int Source #

Returns the number of columns (resp. rows) of the matrix if the storage order column major (resp. row major)

nonZeros :: Elem a b => IOSparseMatrix a b -> IO Int Source #

The number of non zero coefficients

# Matrix compression

compressed :: Elem a b => IOSparseMatrix a b -> IO Bool Source #

Returns whether this matrix is in compressed form.

compress :: Elem a b => IOSparseMatrix a b -> IO () Source #

Turns the matrix into the compressed format.

uncompress :: Elem a b => IOSparseMatrix a b -> IO () Source #

Turns the matrix into the uncompressed mode.

# Accessing matrix data

read :: Elem a b => IOSparseMatrix a b -> Int -> Int -> IO a Source #

Reads the value of the matrix at position i, j. This function returns Scalar(0) if the element is an explicit zero.

write :: Elem a b => IOSparseMatrix a b -> Int -> Int -> a -> IO () Source #

Writes the value of the matrix at position i, j. This function turns the matrix into a non compressed form if that was not the case.

This is a O(log(nnz_j)) operation (binary search) plus the cost of element insertion if the element does not already exist.

Cost of element insertion is sorted insertion in O(1) if the elements of each inner vector are inserted in increasing inner index order, and in O(nnz_j) for a random insertion.

setZero :: Elem a b => IOSparseMatrix a b -> IO () Source #

Removes all non zeros but keep allocated memory

setIdentity :: Elem a b => IOSparseMatrix a b -> IO () Source #

Sets the matrix to the identity matrix

# Changing matrix shape

resize :: Elem a b => IOSparseMatrix a b -> Int -> Int -> IO () Source #

Resizes the matrix to a rows x cols matrix and initializes it to zero.

conservativeResize :: Elem a b => IOSparseMatrix a b -> Int -> Int -> IO () Source #

Resizes the matrix to a rows x cols matrix leaving old values untouched.