Computes a matrix-vector product using a Hermitian matrix.
void hemv(queue &exec_queue, uplo upper_lower, std::int64_t n, T alpha, buffer<T,1> &a, std::int64_t lda, buffer<T,1> &x, std::int64_t incx, T beta, buffer<T,1> &y, std::int64_t incy);
hemv supports the following precisions and devices.
T | Devices Supported |
---|---|
std::complex<float> | Host, CPU, and GPU |
std::complex<double> | Host, CPU, and GPU |
The hemv routines compute a scalar-matrix-vector product and add the result to a scalar-vector product, with a Hermitian matrix. The operation is defined as
y <- alpha*A*x + beta*y
where:
alpha and beta are scalars,
A is an n-by-n Hermitian matrix,
x and y are vectors of length n.
The queue where the routine should be executed.
Specifies whether A is upper or lower triangular. See Data Types for more details.
Number of rows and columns of A. Must be at least zero.
Scaling factor for the matrix-vector product.
Buffer holding input matrix A. Must have size at least lda*n. See Matrix and Vector Storage for more details.
Leading dimension of matrix A. Must be at least m, and positive.
Buffer holding input vector x. The buffer must be of size at least (1 + (n - 1)*abs(incx)). See Matrix and Vector Storage for more details.
Stride of vector x.
Scaling factor for vector y.
Buffer holding input/output vector y. The buffer must be of size at least (1 + (n - 1)*abs(incy)). See Matrix and Vector Storage for more details.
Stride of vector y.
Buffer holding the updated vector y.