Functions
qndiag(C[, B0, weights, max_iter, tol, ...])
qndiag
Joint diagonalization of matrices using the quasi-Newton method
transform_set(M, D[, diag_only])
transform_set
Transform a set of matrices
loss(B, D[, is_diag, weights])
loss
gradient(D[, weights])
gradient
ajd_pham(X[, tol, max_iter, return_B_list, ...])
ajd_pham
This function comes from mne-python/decoding/csp.py Approximate joint diagonalization based on Pham's algorithm.
