linalg.kernels.axpy_kernels

Functions

axpy_1d(alpha, x, y)	Kernel for computing y = alpha * x + y.
axpy_2d(alpha, x, y)	Kernel for computing y = alpha * x + y.
axpy_3d(alpha, x, y)	Kernel for computing y = alpha * x + y.

Details

axpy_1d(alpha: T, x: T[:], y: T[:])

Kernel for computing y = alpha * x + y.

Parameters:

alphafloat | complex

Scaling coefficient.

x, y1D Numpy arrays of (float | complex) data

Data of the vectors.

axpy_2d(alpha: T, x: T[:, :], y: T[:, :])

Kernel for computing y = alpha * x + y.

Parameters:

alphafloat | complex

Scaling coefficient.

x, y2D Numpy arrays of (float | complex) data

Data of the vectors.

axpy_3d(alpha: T, x: T[:, :, :], y: T[:, :, :])

Kernel for computing y = alpha * x + y.

Parameters:

alphafloat | complex

Scaling coefficient.

x, y3D Numpy arrays of (float | complex) data

Data of the vectors.