scipy.linalg.blas.csyrk#
- scipy.linalg.blas.csyrk(alpha, a, beta=0.0, c=None, trans=0, lower=0, overwrite_c=0) = <fblas function csyrk>#
Symmetric rank-k update
c = alpha*op(a)@op(a).T + beta*c(BLAScsyrk).- Parameters:
- alphacomplex
Scalar multiplier for the product.
- andarray
Input matrix.
- betacomplex, optional
Scalar multiplier for c. Default is 0.
- cndarray, optional
Symmetric matrix to update; if omitted a new zero matrix is allocated. Default is None.
- transint, optional
Operation on the matrix: 0 none, 1 transpose, 2 conjugate transpose. Default is 0.
- lowerint, optional
If 0, the upper triangle is used; if 1, the lower. Default is 0.
- overwrite_cint, optional
If nonzero, c may be overwritten in place. Default is 0.
- Returns:
- cndarray
The updated matrix, where
op(a)is a (trans=0) ora.T(trans=1).