bundles / scipy 2.0.0.dev0+git20260907.41eeb59 / scipy / linalg / _fblas / zsymv
blas_function
scipy.linalg._fblas:zsymv
source: build-install/usr/lib/python3.14/site-packages/scipy/linalg/_fblas.cpython-314-x86_64-linux-gnu.so
Signature
def zsymv(alpha, a, x, beta = 0.0, y = None, offx = 0, incx = 1, offy = 0, incy = 1, lower = 0, overwrite_y = 0)Summary
Compute y = alpha*a@x + beta*y for a symmetric matrix a (BLAS zsymv).
Parameters
alpha: complexScalar multiplier for the product.
a: ndarraysymmetric matrix; only the triangle selected by
loweris referenced.x: ndarrayInput vector.
beta: complex, optionalScalar multiplier for
y. Default is 0.y: ndarray, optionalInput/output vector; if omitted a new zero vector is allocated. Default is None.
offx: int, optionalIndex of the first element of
xto use. Default is 0.incx: int, optionalStride between successive elements of
x. Default is 1.offy: int, optionalIndex of the first element of
yto use. Default is 0.incy: int, optionalStride between successive elements of
y. Default is 1.lower: int, optionalIf 0, the upper triangle is used; if 1, the lower. Default is 0.
overwrite_y: int, optionalIf nonzero,
ymay be overwritten in place. Default is 0.
Returns
y: ndarrayThe vector
alpha*a@x + beta*y.
Aliases
scipy.linalg._fblas.zsymv