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bundles / scipy 2.0.0.dev0+git20260907.41eeb59 / scipy / linalg / _fblas / dsbmv

blas_function

scipy.linalg._fblas:dsbmv

source: build-install/usr/lib/python3.14/site-packages/scipy/linalg/_fblas.cpython-314-x86_64-linux-gnu.so

Signature

def dsbmv(k, alpha, a, x, incx = 1, offx = 0, beta = 0.0, y = None, incy = 1, offy = 0, lower = 0, overwrite_y = 0)

Summary

Compute y = alpha*a@x + beta*y for a banded symmetric matrix a (BLAS dsbmv).

Parameters

k : int

Number of super-diagonals (or sub-diagonals) of the band.

alpha : float

Scalar multiplier for the product.

a : ndarray

Banded storage of the symmetric matrix, shape (k + 1, n).

x : ndarray

Input vector.

incx : int, optional

Stride between successive elements of x. Default is 1.

offx : int, optional

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

beta : float, optional

Scalar multiplier for y. Default is 0.

y : ndarray, optional

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

incy : int, optional

Stride between successive elements of y. Default is 1.

offy : int, optional

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

lower : int, optional

If 0, the upper triangle is used; if 1, the lower. Default is 0.

overwrite_y : int, optional

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

Returns

y : ndarray

The vector alpha*a@x + beta*y.

Aliases

  • scipy.linalg._fblas.dsbmv