GenericMatrix¶
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class
dolfin.cpp.la.
GenericMatrix
(*args, **kwargs)¶ Bases:
dolfin.cpp.la.GenericTensor
,dolfin.cpp.la.GenericLinearOperator
This class defines a common interface for matrices.
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add
()¶ Overloaded versions
add(block, num_rows, rows)
Add block of values
add(block, rows)
Add block of values
add(block, rows)
Add block of values
add(block, m, rows, n, cols)
Add block of values
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array
()¶ Return a numpy array representation of Matrix
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assign
()¶ Assignment operator
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axpy
()¶ Add multiple of given matrix (AXPY operation)
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compressed
()¶ Build compressed version of matrix (zeros removed)
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copy
()¶ Return copy of matrix
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data
(deepcopy=True)¶ Return arrays to underlaying compresssed row/column storage data
This method is only available for the uBLAS linear algebra backend.
- Arguments
- deepcopy
- Return a copy of the data. If set to False a reference to the Matrix need to be kept, otherwise the data will be destroyed together with the destruction of the Matrix
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get
()¶ Overloaded versions
get(block, num_rows, rows)
Get block of values
get(block, m, rows, n, cols)
Get block of values
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getrow
()¶ Get non-zero values of given row on local process
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ident
()¶ Set given rows to identity matrix
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ident_zeros
()¶ Insert one on the diagonal for all zero rows
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init_vector
()¶ Initialize vector z to be compatible with the matrix-vector product y = Ax. In the parallel case, both size and layout are important.
- Arguments
- dim (int)
- The dimension (axis): dim = 0 –> z = y, dim = 1 –> z = x
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is_symmetric
()¶ Test if matrix is symmetric
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norm
()¶ Return norm of matrix
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set
()¶ Overloaded versions
set(block, num_rows, rows)
Set block of values
set(block, m, rows, n, cols)
Set block of values
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set_diagonal
()¶ Set diagonal of a matrix
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setrow
()¶ Set values for given row on local process
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sparray
()¶ Return a scipy.sparse representation of Matrix
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thisown
¶ The membership flag
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transpmult
()¶ Matrix-vector product, y = A^T x. The y vector must either be zero-sized or have correct size and parallel layout.
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zero
()¶ Overloaded versions
zero()
Set all entries to zero and keep any sparse structure
zero(m, rows)
Set given rows to zero
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