
{{alias}}( order, M, N, A, LDA, x, strideX, workspace, strideW )
    Returns the index of the last row in a single-precision complex floating-
    point input matrix which has the same elements as a provided search vector.

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

    If the function is provided an empty matrix or if the function is unable to
    find a matching row, the function returns `-1` (i.e., an invalid index).

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

    M: integer
        Number of rows in `A`.

    N: integer
        Number of columns in `A`.

    A: Complex64Array
        Input matrix `A`.

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

    x: Complex64Array
        Search vector.

    strideX: integer
        Stride length for `x`.

    workspace: Uint8Array
        Workspace array for tracking row match candidates. This parameter is
        ignored if the input matrix is stored in row-major order.

    strideW: integer
        Stride length for `workspace`.

    Returns
    -------
    out: integer
        Row index.

    Examples
    --------
    > var A = new {{alias:@stdlib/array/complex64}}( [ 3.0, 0.0, 3.0, 0.0 ] );
    > var x = new {{alias:@stdlib/array/complex64}}( [ 3.0, 0.0 ] );
    > var w = new {{alias:@stdlib/array/uint8}}( 2 );
    > {{alias}}( 'column-major', 2, 1, A, 2, x, 1, w, 1 )
    1


{{alias}}.ndarray( M, N, A, sa1, sa2, oa, x, sx, ox, w, sw, ow )
    Returns the index of the last row in a single-precision complex floating-
    point input matrix which has the same elements as a provided search vector
    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.

    If the method is provided an empty matrix or if the method is unable to find
    a matching row, the method returns `-1` (i.e., an invalid index).

    Parameters
    ----------
    M: integer
        Number of rows in `A`.

    N: integer
        Number of columns in `A`.

    A: Complex64Array
        Input matrix `A`.

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

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

    oa: integer
        Starting index for `A`.

    x: Complex64Array
        Search vector.

    sx: integer
        Stride length for `x`.

    ox: integer
        Starting index for `x`.

    w: Uint8Array
        Workspace array for tracking row match candidates. This parameter is
        ignored if the input matrix is stored in row-major order.

    sw: integer
        Stride length for `w`.

    ow: integer
        Starting index for `w`.

    Returns
    -------
    out: integer
        Row index.

    Examples
    --------
    > var A = new {{alias:@stdlib/array/complex64}}( [ 3.0, 0.0, 3.0, 0.0 ] );
    > var x = new {{alias:@stdlib/array/complex64}}( [ 3.0, 0.0 ] );
    > var w = new {{alias:@stdlib/array/uint8}}( 2 );
    > {{alias}}.ndarray( 2, 1, A, 1, 2, 0, x, 1, 0, w, 1, 0 )
    1

    See Also
    --------
