
{{alias}}( N, x,sx, N1,p,sp, N2,a,sa, out,so )
    Calculates the differences between consecutive elements of a double-
    precision floating-point strided array.

    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 a typed
    array view.

    If `N + N1 + N2 <= 1`, the function returns the output array unchanged.

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

    x: Float64Array
        Input array.

    sx: integer
        Stride length for `x`.

    N1: integer
        Number of indexed elements to prepend.

    p: Float64Array
        Array containing values to prepend after computing differences.

    sp: integer
        Stride length for `p`.

    N2: integer
        Number of indexed elements to append.

    a: Float64Array
        Array containing values to append after computing differences.

    sa: integer
        Stride length for `a`.

    out: Float64Array
        Output array.

    so: integer
        Stride length for `Out`.

    Returns
    -------
    out: Float64Array
        Output array.

    Examples
    --------
    // Standard Usage:
    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 2.0 ] );
    > var p = new {{alias:@stdlib/array/float64}}( [ 0.0 ] );
    > var a = new {{alias:@stdlib/array/float64}}( [ 3.0 ] );
    > var out = new {{alias:@stdlib/array/float64}}( 4 );
    > {{alias}}( x.length, x, 1, 1, p, 1, 1, a, 1, out, 1 )
    <Float64Array>[ 0.0, -3.0, 4.0, 3.0 ]

    // Using `N` and stride parameters:
    > x = new {{alias:@stdlib/array/float64}}( [ 2.0, 4.0, 6.0, 8.0, 10.0 ] );
    > p = new {{alias:@stdlib/array/float64}}( [ 1.0 ] );
    > a = new {{alias:@stdlib/array/float64}}( [ 11.0 ] );
    > var out = new {{alias:@stdlib/array/float64}}( 4 );
    > {{alias}}( 3, x, 2, 1, p, 1, 1, a, 1, out, 1 )
    <Float64Array>[ 1.0, 4.0, 4.0, 11.0 ]

    // Using view offsets:
    > var x0 = new {{alias:@stdlib/array/float64}}( [ 2.0, 4.0, 6.0, 8.0, 10.0 ] );
    > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
    > p = new {{alias:@stdlib/array/float64}}( [ 1.0 ] );
    > a = new {{alias:@stdlib/array/float64}}( [ 11.0 ] );
    > var out = new {{alias:@stdlib/array/float64}}( 5 );
    > {{alias}}( x1.length, x1, 1, 1, p, 1, 1, a, 1, out, 1 )
    <Float64Array>[ 1.0, 2.0, 2.0, 2.0, 11.0 ]


{{alias}}.ndarray( N, x,sx,ox, N1,p,sp,op, N2,a,sa,oa, out,so,oo )
    Calculates the differences between consecutive elements of a double-
    precision floating-point strided array 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.

    x: Float64Array
        Input array.

    sx: integer
        Stride length for `x`.

    ox: integer
        Starting index for `x`.

    N1: integer
        Number of indexed elements to prepend.

    p: Float64Array
        Array containing values to prepend after computing differences.

    sp: integer
        Stride length for `p`.

    op: integer
        Starting index for `p`.

    N2: integer
        Number of indexed elements to append.

    a: Float64Array
        Array containing values to append after computing differences.

    sa: integer
        Stride length for `a`.

    oa: integer
        Starting index for `a`.

    out: Float64Array
        Output array.

    so: integer
        Stride length for `Out`.

    oo: integer
        Starting index for `Out`.

    Returns
    -------
    out: Float64Array
        Output array.

    Examples
    --------
    // Standard Usage:
    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 2.0 ] );
    > var p = new {{alias:@stdlib/array/float64}}( [ 0.0 ] );
    > var a = new {{alias:@stdlib/array/float64}}( [ 3.0 ] );
    > var out = new {{alias:@stdlib/array/float64}}( 4 );
    > {{alias}}.ndarray( 3, x,1,0, 1, p,1,0, 1, a,1,0, out,1,0 )
    <Float64Array>[ 0.0, -3.0, 4.0, 3.0 ]

    // Advanced indexing:
    > x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 2.0 ] );
    > p = new {{alias:@stdlib/array/float64}}( [ 0.0 ] );
    > a = new {{alias:@stdlib/array/float64}}( [ 3.0 ] );
    > out = new {{alias:@stdlib/array/float64}}( 3 );
    > {{alias}}.ndarray( 2, x,1,1, 1, p,1,0, 1, a,1,0, out,1,0 )
    <Float64Array>[ 0.0, 4.0, 3.0 ]

    See Also
    --------
