{{alias}}( N, ca, cx, strideX, cy, strideY )
    Scales a single-precision complex floating-point vector by a single-
    precision complex floating point constant and adds the result to a single-
    precision complex floating-point vector.

    The `N` and stride parameters determine how values from `cx` are scaled by
    `ca` and added to `cy`.

    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 `cy` unchanged.

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

    ca: Complex64
        Scalar constant.

    cx: Complex64Array
        First input array.

    strideX: integer
        Index increment for `cx`.

    cy: Complex64Array
        Second input array.

    strideY: integer
        Index increment for `cy`.

    Returns
    -------
    cy: Complex64Array
        Second input array.

    Examples
    --------
    // Standard usage:
    > var cx = new {{alias:@stdlib/array/complex64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var cy = new {{alias:@stdlib/array/complex64}}( [ 1.0, 1.0, 1.0, 1.0 ] );
    > var ca = new {{alias:@stdlib/complex/float32/ctor}}( 2.0, 2.0 );
    > {{alias}}( 2, ca, cx, 1, cy, 1 );
    > var z = cy.get( 0 );
    > var re = {{alias:@stdlib/complex/float32/real}}( z )
    -1.0
    > var im = {{alias:@stdlib/complex/float32/imag}}( z )
    7.0

    // Advanced indexing:
    > cx = new {{alias:@stdlib/array/complex64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
    > cy = new {{alias:@stdlib/array/complex64}}( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
    > {{alias}}( 2, ca, cx, -2, cy, 1 );
    > z = cy.get( 0 );
    > re = {{alias:@stdlib/complex/float32/real}}( z )
    -1.0
    > im = {{alias:@stdlib/complex/float32/imag}}( z )
    23.0

    // Using typed array views:
    > var cx0 = new {{alias:@stdlib/array/complex64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var cy0 = new {{alias:@stdlib/array/complex64}}( [ 1.0, 1.0, 1.0, 1.0 ] );
    > var cx1 = new {{alias:@stdlib/array/complex64}}( cx0.buffer, cx0.BYTES_PER_ELEMENT*1 );
    > var cy1 = new {{alias:@stdlib/array/complex64}}( cy0.buffer, cy0.BYTES_PER_ELEMENT*1 );
    > {{alias}}( 1, ca, cx1, 1, cy1, 1 );
    > z = cy0.get( 1 );
    > re = {{alias:@stdlib/complex/float32/real}}( z )
    -1.0
    > im = {{alias:@stdlib/complex/float32/imag}}( z )
    15.0


{{alias}}.ndarray( N, ca, cx, strideX, offsetX, cy, strideY, offsetY )
    Scales a single-precision complex floating-point vector by a single-
    precision complex floating-point constant and adds the result to a single-
    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.

    ca: Complex64
        Scalar constant.

    cx: Complex64Array
        First input array.

    strideX: integer
        Index increment for `cx`.

    offsetX: integer
        Starting index for `cx`.

    cy: Complex64Array
        Second input array.

    strideY: integer
        Index increment for `cy`.

    offsetY: integer
        Starting index for `cy`.

    Returns
    -------
    cy: Complex64Array
        Second input array.

    Examples
    --------
    // Standard usage:
    > var cx = new {{alias:@stdlib/array/complex64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var cy = new {{alias:@stdlib/array/complex64}}( [ 1.0, 1.0, 1.0, 1.0 ] );
    > var ca = new {{alias:@stdlib/complex/float32/ctor}}( 2.0, 2.0 );
    > {{alias}}.ndarray( cx.length, ca, cx, 1, 0, cy, 1, 0 );
    > var z = cy.get( 0 );
    > var re = {{alias:@stdlib/complex/float32/real}}( z )
    -1.0
    > var im = {{alias:@stdlib/complex/float32/imag}}( z )
    7.0

    // Advanced indexing:
    > cx = new {{alias:@stdlib/array/complex64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
    > cy = new {{alias:@stdlib/array/complex64}}( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
    > {{alias}}.ndarray( 2, ca, cx, 1, 1, cy, 1, 1 );
    > z = cy.get( 2 );
    > re = {{alias:@stdlib/complex/float32/real}}( z )
    -1.0
    > im = {{alias:@stdlib/complex/float32/imag}}( z )
    23.0

    See Also
    --------