spd_learn.functional.geodesic_thompson#
- spd_learn.functional.geodesic_thompson(A, B, alpha=0.5)[source]#
Thompson geodesic between SPD/HPD matrices.
The matrix at position \(\alpha\) on a possible Thompson geodesic between two SPD/HPD matrices \(\mathbf{A}\) and \(\mathbf{B}\) is given in [1].
\(\mathbf{C}\) is equal to \(\mathbf{A}\) if \(\alpha\) = 0, and \(\mathbf{B}\) if \(\alpha\) = 1.
- Parameters:
A (ndarray, shape (..., n, n)) – First SPD/HPD matrices.
B (ndarray, shape (..., n, n)) – Second SPD/HPD matrices.
alpha (float | ndarray, shape (...,), default=0.5) –
Position on the geodesic. If ndarray, one value per matrix pair.
Changed in version 0.12.
- Returns:
C – SPD/HPD matrices on the Thompson geodesic.
- Return type:
ndarray, shape (…, n, n)
Notes
Added in version 0.10.
Changed in version 0.12: Add support for NumPy and PyTorch. Add support for array-valued alpha.
See also
References
[1]Differential geometry with extreme eigenvalues in the positive semidefinite cone C. Mostajeran, N. Da Costa, G. Van Goffrier and R. Sepulchre. SIAM Journal on Matrix Analysis and Applications, 2024