damp#

AnsMath.damp(dtype=<class 'numpy.float64'>, name=None, fname='file.full', asarray=False)#

Load the damping matrix from a FULL file.

Parameters:

dtypenumpy.dtype, optional: NumPy data type to store the matrix as. The options are np.double, np.int32, and np.int64. The default is np.double. This parameter is only applicable if asarray=True.
namestr, optional: AnsMath matrix name. The default is None, in which case a name is automatically generated.
fnamestr, optional: Name of the file to read the matrix from. The default is "file.full".
asarraybool, optional: Whether to return a SciPy array rather than an AnsMath matrix. The default is False.

Returns:

AnsMat or scipy.sparse.csr.csr_matrix: AnsMath matrix or SciPy sparse matrix, depending on the value for the asarray parameter.

Examples

>>> import ansys.math.core.math as pymath
>>> mm = pymath.AnsMath()
>>> ans_mat = mm.damp()
>>> ans_mat
AnsMath Matrix 60 x 60

Convert to a SciPy array.

>>> mat = ans_mat.asarray()
>>> mat
<60x60 sparse matrix of type '<class 'numpy.float64'>'
    with 1734 stored elements in Compressed Sparse Row (CSR) format>.