{{alias}}( arrays, shape, strides, fcn, clbk[, thisArg] )
    Applies a unary function to each element retrieved from a strided input
    array according to a callback function and assigns results to a strided
    output array.

    The shape and stride parameters determine which elements in the strided
    input and output arrays are accessed at runtime.

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

    The callback function is provided four arguments:

    - value: array element.
    - idx: iteration index.
    - indices: strided indices (offset + idx*stride).
    - arrays: input and output arrays.

    If the callback function does not return any value (or equivalently,
    explicitly returns `undefined`), the value is ignored.

    Parameters
    ----------
    arrays: ArrayLikeObject<ArrayLikeObject>
        Array-like object containing one strided input array and one strided
        output array.

    shape: ArrayLikeObject<integer>
        Array-like object containing a single element, the number of indexed
        elements.

    strides: ArrayLikeObject<integer>
        Array-like object containing the stride lengths for the strided input
        and output arrays.

    fcn: Function
        Unary function to apply to callback return values.

    clbk: Function
        Callback function.

    thisArg: any (optional)
        Callback execution context.

    Examples
    --------
    // Standard usage:
    > var x = [ 1.0, -2.0, 3.0, -4.0 ];
    > var y = [ 0.0, 0.0, 0.0, 0.0 ];
    > var sh = [ x.length ];
    > var st = [ 1, 1 ];
    > function clbk( v ) { return v * 2.0; };
    > {{alias}}( [ x, y ], sh, st, {{alias:@stdlib/math/base/special/abs}}, clbk );
    > y
    [ 2.0, 4.0, 6.0, 8.0 ]

    // Using shape and stride parameters:
    > y = [ 0.0, 0.0, 0.0, 0.0 ];
    > sh = [ 2 ];
    > st = [ 2, -1 ];
    > {{alias}}( [ x, y ], sh, st, {{alias:@stdlib/math/base/special/abs}}, clbk );
    > y
    [ 6.0, 2.0, 0.0, 0.0 ]

    // Using view offsets:
    > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, -4.0 ] );
    > var y0 = 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 );
    > sh = [ 2 ];
    > st = [ -2, 1 ];
    > {{alias}}( [ x1, y1 ], sh, st, {{alias:@stdlib/math/base/special/abs}}, clbk );
    > y1
    <Float64Array>[ 8.0, 4.0 ]
    > y0
    <Float64Array>[ 0.0, 0.0, 8.0, 4.0 ]


{{alias}}.ndarray( arrays, shape, strides, offsets, fcn, clbk[, thisArg] )
    Applies a unary function to each element retrieved from a strided input
    array according to a callback function and assigns results to a strided
    output array using alternative indexing semantics.

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

    Parameters
    ----------
    arrays: ArrayLikeObject<ArrayLikeObject>
        Array-like object containing one strided input array and one strided
        output array.

    shape: ArrayLikeObject<integer>
        Array-like object containing a single element, the number of indexed
        elements.

    strides: ArrayLikeObject<integer>
        Array-like object containing the stride lengths for the strided input
        and output arrays.

    offsets: ArrayLikeObject<integer>
        Array-like object containing the starting indices (i.e., index offsets)
        for the strided input and output arrays.

    fcn: Function
        Unary function to apply to callback return values.

    clbk: Function
        Callback function.

    thisArg: any (optional)
        Callback execution context.

    Examples
    --------
    // Standard usage:
    > var x = [ 1.0, -2.0, 3.0, -4.0 ];
    > var y = [ 0.0, 0.0, 0.0, 0.0 ];
    > var sh = [ x.length ];
    > var st = [ 1, 1 ];
    > var o = [ 0, 0 ];
    > function clbk( v ) { return v * 2.0; };
    > {{alias}}.ndarray( [ x, y ], sh, st, o, {{alias:@stdlib/math/base/special/abs}}, clbk );
    > y
    [ 2.0, 4.0, 6.0, 8.0 ]

    // Advanced indexing:
    > x = [ 1.0, -2.0, 3.0, -4.0 ];
    > y = [ 0.0, 0.0, 0.0, 0.0 ];
    > sh = [ 2 ];
    > st = [ 2, -1 ];
    > o = [ 1, y.length-1 ];
    > {{alias}}.ndarray( [ x, y ], sh, st, o, {{alias:@stdlib/math/base/special/abs}}, clbk );
    > y
    [ 0.0, 0.0, 8.0, 4.0 ]

    See Also
    --------