{{alias}}( ord, trans, M, N, α, A, lda, x, sx, β, y, sy )
    Performs one of the matrix-vector operations `y = α*A*x + β*y` or
    `y = α*A**T*x + β*y`, where `α` and `β` are scalars, `x` and `y` are
    vectors, and `A` is an `M` by `N` matrix.

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

    If `M` or `N` is equal to `0`, the function returns `y` unchanged.

    If `α` equals `0` and β equals `1`, the function returns `y` unchanged.

    Parameters
    ----------
    ord: string
        Row-major (C-style) or column-major (Fortran-style) order.

    trans: string
        Specifies whether `A` should be transposed, conjugate-transposed, or not
        transposed.

    M: integer
        Number of rows in `A`.

    N: integer
        Number of columns in `A`.

    α: number
        Scalar constant.

    A: Float32Array
        Input Matrix.

    lda: integer
        Stride of the first dimension of `A` (a.k.a., leading dimension of the
        matrix `A`).

    x: Float32Array
        First input vector.

    sx: integer
        Index increment for `x`.

    β: number
        Scalar constant.

    y: Float32Array
        Second input vector.

    sy: integer
        Index increment for `y`.

    Returns
    -------
    y: Float32Array
        Second input vector.

    Examples
    --------
    // Standard usage:
    > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
    > var y = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
    > var A = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var ord = 'row-major';
    > var trans = 'no-transpose';
    > {{alias}}( ord, trans, 2, 2, 1.0, A, 2, x, 1, 1.0, y, 1 )
    <Float32Array>[ 4.0, 8.0 ]

    // Advanced indexing:
    > x = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
    > y = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
    > A = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > {{alias}}( ord, trans, 2, 2, 1.0, A, 2, x, -1, 1.0, y, -1 )
    <Float32Array>[ 8.0, 4.0 ]

    // Using typed array views:
    > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0, 1.0 ] );
    > var y0 = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
    > A = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
    > var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
    > var y1 = new {{alias:@stdlib/array/float32}}( y0.buffer, y0.BYTES_PER_ELEMENT*1 );
    > {{alias}}( ord, trans, 2, 2, 1.0, A, 2, x1, -1, 1.0, y1, -1 );
    > y0
    <Float32Array>[ 1.0, 8.0 ]


{{alias}}.ndarray( trans, M, N, α, A, sa1, sa2, oa, x, sx, ox, β, y, sy, oy )
    Performs one of the matrix-vector operations `y = α*A*x + β*y` or
    `y = α*A**T*x + β*y`, using alternative indexing semantics and where `α` and
    `β` are scalars, `x` and `y` are vectors, and `A` is an `M` by `N` matrix.

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

    Parameters
    ----------
    trans: string
        Specifies whether `A` should be transposed, conjugate-transposed, or not
        transposed.

    M: integer
        Number of rows in `A`.

    N: integer
        Number of columns in `A`.

    α: number
        Scalar constant.

    A: Float32Array
        Input Matrix.

    sa1: integer
        Stride of the first dimension of `A`.

    sa2: integer
        Stride of the second dimension of `A`.

    oa: integer
        Starting index for `A`.

    x: Float32Array
        First input vector.

    sx: integer
        Index increment for `x`.

    ox: integer
        Starting index for `x`.

    β: number
        Scalar constant.

    y: Float32Array
        Second input vector.

    sy: integer
        Index increment for `y`.

    oy: integer
        Starting index for `y`.

    Returns
    -------
    y: Float32Array
        Second input vector.

    Examples
    --------
    > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
    > var y = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
    > var A = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0 ] );
    > var trans = 'no-transpose';
    > {{alias}}.ndarray( trans, 2, 2, 1, A, 2, 1, 0, x, 1, 0, 1, y, 1, 0 )
    <Float32Array>[ 4.0, 8.0 ]

    See Also
    --------