{{alias}}( ord, uplo, N, α, x, sx, AP )
    Performs the symmetric rank 1 operation `A = α*x*x^T + A` where `α` is a
    scalar, `x` is an `N` element vector, and `A` is an `N` by `N` symmetric
    matrix supplied in packed form.

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

    If `N` is equal to `0` or `α` is equal to `0`, the function returns `AP`
    unchanged.

    Parameters
    ----------
    ord: string
        Row-major (C-style) or column-major (Fortran-style) order. Must be
        either 'row-major' or 'column-major'.

    uplo: string
        Specifies whether the upper or lower triangular matrix of `A` is
        supplied. Must be either 'upper' or 'lower'.

    N: integer
        Number of elements along each dimension of `A`.

    α: number
        Scalar constant.

    x: Float64Array
        Input vector `x`.

    sx: integer
        Index increment for `x`.

    AP: Float64Array
        Matrix in packed form.

    Returns
    -------
    AP: Float64Array
        Matrix in packed form.

    Examples
    --------
    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0 ] );
    > var AP = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0 ] );
    > {{alias}}( 'row-major', 'upper', 2, 1.0, x, 1, AP )
    <Float64Array>[ 2.0, 3.0, 4.0 ]


{{alias}}.ndarray( ord, uplo, N, α, x, sx, ox, AP, sap, oap )
    Performs the symmetric rank 1 operation `A = α*x*x^T + A` using alternative
    indexing semantics and where `α` is a scalar, `x` is an `N` element vector,
    and `A` is an `N` by `N` symmetric matrix supplied in packed form.

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

    Parameters
    ----------
    ord: string
        Row-major (C-style) or column-major (Fortran-style) order. Must be
        either 'row-major' or 'column-major'.

    uplo: string
        Specifies whether the upper or lower triangular matrix of `A` is
        supplied. Must be either 'upper' or 'lower'.

    N: integer
        Number of elements along each dimension of `A`.

    α: number
        Scalar.

    x: Float64Array
        Input vector `x`.

    sx: integer
        Index increment for `x`.

    ox: integer
        Starting index for `x`.

    AP: Float64Array
        Matrix in packed form.

    sap: integer
        Index increment for `ap`.

    oap: integer
        Starting index for `ap`.

    Returns
    -------
    AP: Float64Array
        Matrix in packed form.

    Examples
    --------
    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0 ] );
    > var AP = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0 ] );
    > var ord = 'row-major';
    > var uplo = 'upper';
    > {{alias}}.ndarray( ord, uplo, 2, 1.0, x, 1, 0, AP, 1, 0 )
    <Float64Array>[ 2.0, 3.0, 4.0 ]

    See Also
    --------