
{{alias}}( N, cx, strideCX )
    Conjugates each element in a single-precision complex floating-point vector.

    The `N` and stride parameters determine which elements in `cx` are
    conjugated.

    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 `cx` unchanged.

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

    cx: Complex64Array
        Input array.

    strideCX: integer
        Stride length for `cx`.

    Returns
    -------
    cx: Complex64Array
        Input array.

    Examples
    --------
    // Standard usage:
    > var cx = new {{alias:@stdlib/array/complex64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > {{alias}}( 2, cx, 1 )
    <Complex64Array>[ 1.0, -2.0, 3.0, -4.0 ]

    // Advanced indexing:
    > cx = new {{alias:@stdlib/array/complex64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
    > {{alias}}( 2, cx, 2 )
    <Complex64Array>[ 1.0, -2.0, 3.0, 4.0, 5.0, -6.0 ]

    // Using typed array views:
    > var cx0 = new {{alias:@stdlib/array/complex64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
    > var cx1 = new {{alias:@stdlib/array/complex64}}( cx0.buffer, cx0.BYTES_PER_ELEMENT*1 );
    > {{alias}}( 2, cx1, 1 )
    <Complex64Array>[ 3.0, -4.0, 5.0, -6.0 ]


{{alias}}.ndarray( N, cx, strideCX, offsetCX )
    Conjugates each element in 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 parameter supports indexing semantics based on a starting
    index.

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

    cx: Complex64Array
        Input array.

    strideCX: integer
        Stride length for `cx`.

    offsetCX: integer
        Starting index for `cx`.

    Returns
    -------
    cx: Complex64Array
        Input array.

    Examples
    --------
    // Standard usage:
    > var cx = new {{alias:@stdlib/array/complex64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > {{alias}}.ndarray( 2, cx, 1, 0 )
    <Complex64Array>[ 1.0, -2.0, 3.0, -4.0 ]

    // Advanced indexing:
    > cx = new {{alias:@stdlib/array/complex64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
    > {{alias}}.ndarray( 2, cx, 1, 2 )
    <Complex64Array>[ 1.0, 2.0, 3.0, 4.0, 5.0, -6.0, 7.0, -8.0 ]

    See Also
    --------
