
{{alias}}( N, x, strideX, y, strideY )
    Computes the squared Euclidean distance between two double-precision
    floating-point strided arrays.

    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 <= 0`, the function returns `NaN`.

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

    x: Float64Array
        First input array.

    strideX: integer
        Stride length for `x`.

    y: Float64Array
        Second input array.

    strideY: integer
        Stride length for `y`.

    Returns
    -------
    out: number
        Squared Euclidean distance.

    Examples
    --------
    // Standard Usage:
    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 2.0 ] );
    > var y = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0, -4.0 ] );
    > {{alias}}( x.length, x, 1, y, 1 )
    45.0

    // Using N and stride parameters:
    > x = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 2.0, -7.0, -2.0 ] );
    > y = new {{alias:@stdlib/array/float64}}( [ 2.0, 1.0, 2.0, 1.0, -2.0 ] );
    > {{alias}}( 3, x, 2, y, 2 )
    1.0

    // Using view offsets:
    > var x0 = new {{alias:@stdlib/array/float64}}( [ 2.0, 1.0, 2.0, -2.0 ] );
    > var y0 = new {{alias:@stdlib/array/float64}}( [ 8.0, -2.0, 3.0, -2.0 ] );
    > 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*1 );
    > {{alias}}( 2, x1, 2, y1, 2 )
    9.0


{{alias}}.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )
    Computes the squared Euclidean distance between two double-precision
    floating-point strided arrays using alternative indexing semantics.

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

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

    x: Float64Array
        First input array.

    strideX: integer
        Stride length for `x`.

    offsetX: integer
        Starting index for `x`.

    y: Float64Array
        Second input array.

    strideY: integer
        Stride length for `y`.

    offsetY: integer
        Starting index for `y`.

    Returns
    -------
    out: number
        Squared Euclidean distance.

    Examples
    --------
    // Standard Usage:
    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, -4.0, 5.0 ] );
    > var y = new {{alias:@stdlib/array/float64}}( [ 5.0, 12.0, -8.0, 15.0 ] );
    > {{alias}}.ndarray( x.length, x, 1, 0, y, 1, 0 )
    328.0

    // Using offset parameters:
    > x = new {{alias:@stdlib/array/float64}}( [ 2.0, 1.0,  2.0, -2.0 ] );
    > y = new {{alias:@stdlib/array/float64}}( [ 8.0, -2.0, 3.0, -2.0 ] );
    > {{alias}}.ndarray( 2, x, 2, 1, y, 2, 1 )
    9.0

    See Also
    --------
