
{{alias}}( N, x, strideX )
    Finds the index of the first element having the maximum absolute value.

    The `N` and `strideX` parameters determine which elements in `x` are
    accessed at runtime.

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

    If `N < 1`, the function returns `-1`.

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

    x: Float32Array
        Input array.

    strideX: integer
        Index increment for `x`.

    Returns
    -------
    idx: integer
        Index value.

    Examples
    --------
    // Standard Usage:
    > var x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 3.0, -5.0 ] );
    > var idx = {{alias}}( x.length, x, 1 )
    3

    // Using `N` and stride parameters:
    > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 3.0, -5.0 ] );
    > idx = {{alias}}( 2, x, 2 )
    1

    // Using view offsets:
    > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, -4.0 ] );
    > var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
    > idx = {{alias}}( 3, x1, 1 )
    2


{{alias}}.ndarray( N, x, strideX, offsetX )
    Finds the index of the first element having the maximum absolute value using
    alternative indexing semantics.

    While typed array views mandate a view offset based on the underlying
    buffer, the `offsetX` parameter supports indexing semantics based on a
    starting index.

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

    x: Float32Array
        Input array.

    strideX: integer
        Index increment for `x`.

    offsetX: integer
        Starting index of `x`.

    Returns
    -------
    idx: integer
        Index value.

    Examples
    --------
    // Standard Usage:
    > var x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 3.0, -5.0, 4.0, -1.0, -3.0 ] );
    > var idx = {{alias}}.ndarray( x.length, x, 1, 0 )
    3

    // Using an index offset:
    > x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
    > idx = {{alias}}.ndarray( 3, x, 2, 1 )
    2

    See Also
    --------

