matrix_power_strided_rank_NE_NS_NM_NO_ND_x_x(data,
power)
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Calculate the exact matrix power by striding through higher
dimensional data. This of dimension [NE][NS][NM][NO][ND][X][X].
Here X is the Row and Column length, of the outer square matrix.
- Parameters:
data (numpy float array of rank [NE][NS][NM][NO][ND][X][X]) - The square matrix to calculate the matrix exponential of.
power (numpy int array of rank [NE][NS][NM][NO][ND]) - The matrix exponential power array, which hold the power integer
to which to raise the outer matrix X,X to.
- Returns: numpy float array of rank [NE][NS][NM][NO][ND][X][X]
- The matrix pwer. This will have the same dimensionality as the
data matrix.
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