
{{alias}}( N, dx, x, sx, dy, y, sy, dz, z, sz )
    Adds each element in a strided array `x` to a corresponding element in a
    strided array `y` and assigns the results to elements in a strided array
    `z`.

    The `N` and stride parameters determine which elements in the strided arrays
    are accessed at runtime.

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

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

    dx: any
        Data type for `x`.

    x: ArrayLikeObject
        Input array.

    sx: integer
        Index increment for `x`.

    dy: any
        Data type for `y`.

    y: ArrayLikeObject
        Input array.

    sy: integer
        Index increment for `y`.

    dz: any
        Data type for `z`.

    z: ArrayLikeObject
        Destination array.

    sz: integer
        Index increment for `z`.

    Returns
    -------
    z: ArrayLikeObject
        Input array `z`.

    Examples
    --------
    // Standard usage:
    > var x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 3.0, -5.0 ] );
    > var y = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var z = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
    > var dt = 'float64';
    > {{alias}}( x.length, dt, x, 1, dt, y, 1, dt, z, 1 )
    <Float64Array>[ -1.0, 3.0, 6.0, -1.0 ]

    // Using `N` and stride parameters:
    > z = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
    > {{alias}}( 2, dt, x, 2, dt, y, -2, dt, z, 1 )
    <Float64Array>[ 1.0, 4.0, 0.0, 0.0 ]

    // Using view offsets:
    > var x0 = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 3.0, -5.0 ] );
    > var y0 = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var z0 = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
    > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
    > var y1 = new {{alias:@stdlib/array/float64}}( y0.buffer, y0.BYTES_PER_ELEMENT*2 );
    > var z1 = new {{alias:@stdlib/array/float64}}( z0.buffer, z0.BYTES_PER_ELEMENT*2 );
    > {{alias}}( 2, dt, x1, -2, dt, y1, 1, dt, z1, 1 )
    <Float64Array>[ -2.0, 5.0 ]
    > z0
    <Float64Array>[ 0.0, 0.0, -2.0, 5.0 ]


{{alias}}.ndarray( N, dx, x, sx, ox, dy, y, sy, oy, dz, z, sz, oz )
    Adds each element in a strided array `x` to a corresponding element in a
    strided array `y` and assigns the results to elements in a strided array
    `z` 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.

    dx: any
        Data type for `x`.

    x: ArrayLikeObject
        Input array.

    sx: integer
        Index increment for `x`.

    ox: integer
        Starting index for `x`.

    dy: any
        Data type for `y`.

    y: ArrayLikeObject
        Input array.

    sy: integer
        Index increment for `y`.

    oy: integer
        Starting index for `y`.

    dz: any
        Data type for `z`.

    z: ArrayLikeObject
        Destination array.

    sz: integer
        Index increment for `z`.

    oz: integer
        Starting index for `z`.

    Returns
    -------
    z: ArrayLikeObject
        Input array `z`.

    Examples
    --------
    // Standard usage:
    > var x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 3.0, -5.0 ] );
    > var y = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var z = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
    > var dt = 'float64';
    > {{alias}}.ndarray( 4, dt, x, 1, 0, dt, y, 1, 0, dt, z, 1, 0 )
    <Float64Array>[ -1.0, 3.0, 6.0, -1.0 ]

    // Advanced indexing:
    > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 3.0, -5.0 ] );
    > y = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > z = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
    > {{alias}}.ndarray( 2, dt, x, 2, 1, dt, y, -1, 3, dt, z, 1, 1 )
    <Float64Array>[ 0.0, 5.0, -2.0, 0.0 ]

    See Also
    --------

