{{alias}}( N, za, zx, strideX, zy, strideY )
    Scales a double-precision complex floating-point vector by a double-
    precision complex floating point constant and adds the result to a double-
    precision complex floating-point vector.

    The `N` and stride parameters determine how values from `zx` are scaled by
    `za` and added to `zy`.

    Indexing is relative to the first index. To introduce an offset, use typed
    array views.

    If `N` is less than or equal to `0`, the function returns `zy` unchanged.

    Parameters
    ----------
    N: integer
        Number of indexed elements.

    za: Complex128
        Scalar constant.

    zx: Complex128Array
        First input array.

    strideX: integer
        Index increment for `zx`.

    zy: Complex128Array
        Second input array.

    strideY: integer
        Index increment for `zy`.

    Returns
    -------
    zy: Complex128Array
        Second input array.

    Examples
    --------
    // Standard usage:
    > var zx = new {{alias:@stdlib/array/complex128}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var zy = new {{alias:@stdlib/array/complex128}}( [ 1.0, 1.0, 1.0, 1.0 ] );
    > var za = new {{alias:@stdlib/complex/float64/ctor}}( 2.0, 2.0 );
    > {{alias}}( 2, za, zx, 1, zy, 1 );
    > var z = zy.get( 0 );
    > var re = {{alias:@stdlib/complex/float64/real}}( z )
    -1.0
    > var im = {{alias:@stdlib/complex/float64/imag}}( z )
    7.0

    // Advanced indexing:
    > zx = new {{alias:@stdlib/array/complex128}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
    > zy = new {{alias:@stdlib/array/complex128}}( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
    > {{alias}}( 2, za, zx, -2, zy, 1 );
    > z = zy.get( 0 );
    > re = {{alias:@stdlib/complex/float64/real}}( z )
    -1.0
    > im = {{alias:@stdlib/complex/float64/imag}}( z )
    23.0

    // Using typed array views:
    > var zx0 = new {{alias:@stdlib/array/complex128}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var zy0 = new {{alias:@stdlib/array/complex128}}( [ 1.0, 1.0, 1.0, 1.0 ] );
    > var zx1 = new {{alias:@stdlib/array/complex128}}( zx0.buffer, zx0.BYTES_PER_ELEMENT*1 );
    > var zy1 = new {{alias:@stdlib/array/complex128}}( zy0.buffer, zy0.BYTES_PER_ELEMENT*1 );
    > {{alias}}( 1, za, zx1, 1, zy1, 1 );
    > z = zy0.get( 1 );
    > re = {{alias:@stdlib/complex/float64/real}}( z )
    -1.0
    > im = {{alias:@stdlib/complex/float64/imag}}( z )
    15.0


{{alias}}.ndarray( N, za, zx, strideX, offsetX, zy, strideY, offsetY )
    Scales a double-precision complex floating-point vector by a double-
    precision complex floating-point constant and adds the result to a double-
    precision complex floating-point vector using alternative indexing
    semantics.

    While typed array views mandate a view offset based on the underlying
    buffer, the offset parameters support indexing semantics based on starting
    indices.

    Parameters
    ----------
    N: integer
        Number of indexed elements.

    za: Complex128
        Scalar constant.

    zx: Complex128Array
        First input array.

    strideX: integer
        Index increment for `zx`.

    offsetX: integer
        Starting index for `zx`.

    zy: Complex128Array
        Second input array.

    strideY: integer
        Index increment for `zy`.

    offsetY: integer
        Starting index for `zy`.

    Returns
    -------
    zy: Complex128Array
        Second input array.

    Examples
    --------
    // Standard usage:
    > var zx = new {{alias:@stdlib/array/complex128}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var zy = new {{alias:@stdlib/array/complex128}}( [ 1.0, 1.0, 1.0, 1.0 ] );
    > var za = new {{alias:@stdlib/complex/float64/ctor}}( 2.0, 2.0 );
    > {{alias}}.ndarray( zx.length, za, zx, 1, 0, zy, 1, 0 );
    > var z = zy.get( 0 );
    > var re = {{alias:@stdlib/complex/float64/real}}( z )
    -1.0
    > var im = {{alias:@stdlib/complex/float64/imag}}( z )
    7.0

    // Advanced indexing:
    > zx = new {{alias:@stdlib/array/complex128}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
    > zy = new {{alias:@stdlib/array/complex128}}( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
    > {{alias}}.ndarray( 2, za, zx, 1, 1, zy, 1, 1 );
    > z = zy.get( 2 );
    > re = {{alias:@stdlib/complex/float64/real}}( z )
    -1.0
    > im = {{alias:@stdlib/complex/float64/imag}}( z )
    23.0

    See Also
    --------