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Fix to the matrix_exponential_rankN, to return the exact exponential for any higher dimensional square matrix

of shape [NE][NS][NM][NO][ND][X][X].

The fix was to the eye(X), to make the shape the same as the input shape.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

tlinnet 2014-06-19

changed /branches/disp_spin_speed/lib/linear_algebra/matrix_exponential.py
/branches/disp_spin_speed/lib/linear_algebra/matrix_exponential.py Diff Switch to side-by-side view
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