JCublasJava/src/main/java/jcuda/jcublas/JCublas.java
public static void cublasCaxpy(int n, cuComplex alpha, Pointer x, int incx, Pointer y, int incy)
    {
        cublasCaxpyNative(n, alpha, x, incx, y, incy);
        checkResultBLAS();
    }
public static void cublasCaxpy(int n, cuComplex alpha, Pointer x, int incx, Pointer y, int incy)
    {
        cublasCaxpyNative(n, alpha, x, incx, y, incy);
        checkResultBLAS();
    }
<pre>
void
cublasCaxpy (int n, cuComplex alpha, const cuComplex *x, int incx,
cuComplex *y, int incy)

multiplies single-complex vector x by single-complex scalar alpha and adds
the result to single-complex vector y; that is, it overwrites single-complex
y with single-complex alpha * x + y. For i = 0 to n - 1, it replaces
y[ly + i * incy] with alpha * x[lx + i * incx] + y[ly + i * incy], where
lx = 0 if incx >= 0, else lx = 1 + (1 - n) * incx, and ly is defined in a
similar way using incy.

Input
-----
n      number of elements in input vectors
alpha  single-complex scalar multiplier
x      single-complex vector with n elements
incx   storage spacing between elements of x
y      single-complex vector with n elements
incy   storage spacing between elements of y

Output
------
y      single-complex result (unchanged if n <= 0)

Reference: http://www.netlib.org/blas/caxpy.f

Error status for this function can be retrieved via cublasGetError().

Error Status
------------
CUBLAS_STATUS_NOT_INITIALIZED  if CUBLAS library has not been initialized
CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
</pre>