`scipy.linalg._fblas:dsymm`

Signature

def dsymm(alpha, a, b, beta = 0.0, c = None, side = 0, lower = 0, overwrite_c = 0)

Compute c = alpha*a@b + beta*c for a symmetric matrix a (BLAS dsymm).

alpha : float: Scalar multiplier for the product.
a : ndarray: symmetric matrix; only the triangle selected by lower is referenced.
b : ndarray: General matrix.
beta : float, optional: Scalar multiplier for c. Default is 0.
c : ndarray, optional: Input/output matrix; if omitted a new zero matrix is allocated. Default is None.
side : int, optional: If 0, a multiplies from the left; if 1, from the right. Default is 0.
lower : int, optional: If 0, the upper triangle is used; if 1, the lower. Default is 0.
overwrite_c : int, optional: If nonzero, c may be overwritten in place. Default is 0.

c : ndarray: The matrix alpha*a@b + beta*c (or alpha*b@a + beta*c if side=1).