EigenMatrix¶
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class
dolfin.cpp.la.
EigenMatrix
(*args)¶ Bases:
dolfin.cpp.la.GenericMatrix
This class provides a sparse matrix class based on Eigen. It is a simple wrapper for Eigen::SparseMatrix implementing the GenericMatrix interface.
The interface is intentionally simple. For advanced usage, access the underlying Eigen matrix and use the standard Eigen interface which is documented at http://eigen.tuxfamily.org
Overloaded versions
EigenMatrix()
Create empty matrix
EigenMatrix(M, N)
Create M x N matrix
EigenMatrix(A)
Copy constructor
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assign
()¶ Overloaded versions
operator=(A)
Assignment operator
operator=(A)
Assignment operator
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compress
()¶ Compress matrix (eliminate all zeros from a sparse matrix)
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data
(deepcopy=True)¶ Return arrays to underlaying compresssed row/column storage data
This method is only available for the Eigen 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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mat
()¶ Overloaded versions
mat()
Return reference to Eigen matrix (const version)
mat()
Return reference to Eigen matrix (non-const version)
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resize
()¶ Resize matrix to M x N
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sparray
()¶ Return a scipy.sparse representation of Matrix
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thisown
¶ The membership flag
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zero
()¶ Overloaded versions
zero()
Set all entries to zero and keep any sparse structure
zero(m, rows)
Set given rows (global row indices) to zero