scipy.linalg.blas.cgemv

scipy.linalg.blas.cgemv(alpha, a, x, beta=0.0, y=None, offx=0, incx=1, offy=0, incy=1, trans=0, overwrite_y=0) = <fblas function cgemv>

Compute the matrix-vector product y = alpha*op(a)@x + beta*y (BLAS cgemv).

Parameters:

alphacomplex

Scalar multiplier for the product.

andarray

Input matrix.

xndarray

Input vector.

betacomplex, optional

Scalar multiplier for y. Default is 0.

yndarray, optional

Input/output vector; if omitted a new zero vector is allocated. Default is None.

offxint, optional

Index of the first element of x to use. Default is 0.

incxint, optional

Stride between successive elements of x. Default is 1.

offyint, optional

Index of the first element of y to use. Default is 0.

incyint, optional

Stride between successive elements of y. Default is 1.

transint, optional

Operation on the matrix: 0 none, 1 transpose, 2 conjugate transpose. Default is 0.

overwrite_yint, optional

If nonzero, y may be overwritten in place. Default is 0.

Returns:

yndarray

The vector alpha*op(a)@x + beta*y, where op(a) is a, a.T, or a.conj().T according to trans.