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@@ -1698,8 +1698,8 @@ base.strided.dnansum,"\nbase.strided.dnansum( N, x, stride )\n    Computes the s
 base.strided.dnansum.ndarray,"\nbase.strided.dnansum.ndarray( N, x, stride, offset )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using alternative indexing semantics.\n\n    While typed array views mandate a view offset based on the underlying\n    buffer, the `offset` parameter supports indexing semantics based on a\n    starting index.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    offset: integer\n        Starting index.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansum.ndarray( x.length, x, 1, 0 )\n    1.0\n\n    // Using offset parameter:\n    > var x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > base.strided.dnansum.ndarray( 4, x, 2, 1 )\n    -1.0\n\n    See Also\n    --------\n    base.strided.dnanmean, base.strided.dsum, base.strided.snansum, base.strided.gnansum"
 base.strided.dnansumkbn,"\nbase.strided.dnansumkbn( N, x, stride )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using an improved Kahan–Babuška algorithm.\n\n    The `N` and `stride` parameters determine which elements in `x` are accessed\n    at runtime.\n\n    Indexing is relative to the first index. To introduce an offset, use a typed\n    array view.\n\n    If `N <= 0`, the function returns `0.0`.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumkbn( x.length, x, 1 )\n    1.0\n\n    // Using `N` and `stride` parameters:\n    > x = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\n    > var N = base.floor( x.length / 2 );\n    > var stride = 2;\n    > base.strided.dnansumkbn( N, x, stride )\n    1.0\n\n    // Using view offsets:\n    > var x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\n    > N = base.floor( x0.length / 2 );\n    > stride = 2;\n    > base.strided.dnansumkbn( N, x1, stride )\n    -1.0\n\nbase.strided.dnansumkbn.ndarray( N, x, stride, offset )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using an improved Kahan–Babuška algorithm and\n    alternative indexing semantics.\n\n    While typed array views mandate a view offset based on the underlying\n    buffer, the `offset` parameter supports indexing semantics based on a\n    starting index.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    offset: integer\n        Starting index.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumkbn.ndarray( x.length, x, 1, 0 )\n    1.0\n\n    // Using offset parameter:\n    > var x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > var N = base.floor( x.length / 2 );\n    > base.strided.dnansumkbn.ndarray( N, x, 2, 1 )\n    -1.0\n\n    See Also\n    --------\n    base.strided.dnansum, base.strided.dnansumors, base.strided.dnansumpw, base.strided.dsumkbn, base.strided.gnansumkbn, base.strided.snansumkbn\n"
 base.strided.dnansumkbn.ndarray,"\nbase.strided.dnansumkbn.ndarray( N, x, stride, offset )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using an improved Kahan–Babuška algorithm and\n    alternative indexing semantics.\n\n    While typed array views mandate a view offset based on the underlying\n    buffer, the `offset` parameter supports indexing semantics based on a\n    starting index.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    offset: integer\n        Starting index.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumkbn.ndarray( x.length, x, 1, 0 )\n    1.0\n\n    // Using offset parameter:\n    > var x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > var N = base.floor( x.length / 2 );\n    > base.strided.dnansumkbn.ndarray( N, x, 2, 1 )\n    -1.0\n\n    See Also\n    --------\n    base.strided.dnansum, base.strided.dnansumors, base.strided.dnansumpw, base.strided.dsumkbn, base.strided.gnansumkbn, base.strided.snansumkbn"
-base.strided.dnansumkbn2,"\nbase.strided.dnansumkbn2( N, x, stride )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using a second-order iterative Kahan–Babuška\n    algorithm.\n\n    The `N` and `stride` parameters determine which elements in `x` are accessed\n    at runtime.\n\n    Indexing is relative to the first index. To introduce an offset, use a typed\n    array view.\n\n    If `N <= 0`, the function returns `0.0`.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumkbn2( x.length, x, 1 )\n    1.0\n\n    // Using `N` and `stride` parameters:\n    > x = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\n    > var N = base.floor( x.length / 2 );\n    > var stride = 2;\n    > base.strided.dnansumkbn2( N, x, stride )\n    1.0\n\n    // Using view offsets:\n    > var x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\n    > N = base.floor( x0.length / 2 );\n    > stride = 2;\n    > base.strided.dnansumkbn2( N, x1, stride )\n    -1.0\n\nbase.strided.dnansumkbn2.ndarray( N, x, stride, offset )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using a second-order iterative Kahan–Babuška\n    algorithm and alternative indexing semantics.\n\n    While typed array views mandate a view offset based on the underlying\n    buffer, the `offset` parameter supports indexing semantics based on a\n    starting index.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    offset: integer\n        Starting index.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumkbn2.ndarray( x.length, x, 1, 0 )\n    1.0\n\n    // Using offset parameter:\n    > var x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > var N = base.floor( x.length / 2 );\n    > base.strided.dnansumkbn2.ndarray( N, x, 2, 1 )\n    -1.0\n\n    See Also\n    --------\n    base.strided.dnansum, base.strided.dnansumors, base.strided.dnansumpw, base.strided.dsumkbn2, base.strided.gnansumkbn2, base.strided.snansumkbn2\n"
-base.strided.dnansumkbn2.ndarray,"\nbase.strided.dnansumkbn2.ndarray( N, x, stride, offset )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using a second-order iterative Kahan–Babuška\n    algorithm and alternative indexing semantics.\n\n    While typed array views mandate a view offset based on the underlying\n    buffer, the `offset` parameter supports indexing semantics based on a\n    starting index.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    offset: integer\n        Starting index.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumkbn2.ndarray( x.length, x, 1, 0 )\n    1.0\n\n    // Using offset parameter:\n    > var x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > var N = base.floor( x.length / 2 );\n    > base.strided.dnansumkbn2.ndarray( N, x, 2, 1 )\n    -1.0\n\n    See Also\n    --------\n    base.strided.dnansum, base.strided.dnansumors, base.strided.dnansumpw, base.strided.dsumkbn2, base.strided.gnansumkbn2, base.strided.snansumkbn2"
+base.strided.dnansumkbn2,"\nbase.strided.dnansumkbn2( N, x, stride )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using a second-order iterative Kahan–Babuška\n    algorithm.\n\n    The `N` and stride parameters determine which elements in the strided \n    array are accessed at runtime.\n\n    Indexing is relative to the first index. To introduce an offset, use a typed\n    array view.\n\n    If `N <= 0`, the function returns `0.0`.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumkbn2( x.length, x, 1 )\n    1.0\n\n    // Using `N` and `stride` parameters:\n    > x = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\n    > base.strided.dnansumkbn2( 4, x, 2 )\n    1.0\n\n    // Using view offsets:\n    > var x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\n    > base.strided.dnansumkbn2( 4, x1, 2 )\n    -1.0\n\n\nbase.strided.dnansumkbn2.ndarray( N, x, stride, offset )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using a second-order iterative Kahan–Babuška\n    algorithm and alternative indexing semantics.\n\n    While typed array views mandate a view offset based on the underlying\n    buffer, the `offset` parameter supports indexing semantics based on a\n    starting index.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    offset: integer\n        Starting index.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumkbn2.ndarray( x.length, x, 1, 0 )\n    1.0\n\n    // Using offset parameter:\n    > var x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > base.strided.dnansumkbn2.ndarray( 4, x, 2, 1 )\n    -1.0\n\n    See Also\n    --------\n    base.strided.dnansum, base.strided.dnansumors, base.strided.dnansumpw, base.strided.dsumkbn2, base.strided.gnansumkbn2, base.strided.snansumkbn2\n"
+base.strided.dnansumkbn2.ndarray,"\nbase.strided.dnansumkbn2.ndarray( N, x, stride, offset )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using a second-order iterative Kahan–Babuška\n    algorithm and alternative indexing semantics.\n\n    While typed array views mandate a view offset based on the underlying\n    buffer, the `offset` parameter supports indexing semantics based on a\n    starting index.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    offset: integer\n        Starting index.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumkbn2.ndarray( x.length, x, 1, 0 )\n    1.0\n\n    // Using offset parameter:\n    > var x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > base.strided.dnansumkbn2.ndarray( 4, x, 2, 1 )\n    -1.0\n\n    See Also\n    --------\n    base.strided.dnansum, base.strided.dnansumors, base.strided.dnansumpw, base.strided.dsumkbn2, base.strided.gnansumkbn2, base.strided.snansumkbn2"
 base.strided.dnansumors,"\nbase.strided.dnansumors( N, x, stride )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using ordinary recursive summation.\n\n    The `N` and `stride` parameters determine which elements in `x` are accessed\n    at runtime.\n\n    Indexing is relative to the first index. To introduce an offset, use a typed\n    array view.\n\n    If `N <= 0`, the function returns `0.0`.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumors( x.length, x, 1 )\n    1.0\n\n    // Using `N` and `stride` parameters:\n    > x = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\n    > var N = base.floor( x.length / 2 );\n    > var stride = 2;\n    > base.strided.dnansumors( N, x, stride )\n    1.0\n\n    // Using view offsets:\n    > var x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\n    > N = base.floor( x0.length / 2 );\n    > stride = 2;\n    > base.strided.dnansumors( N, x1, stride )\n    -1.0\n\nbase.strided.dnansumors.ndarray( N, x, stride, offset )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using ordinary recursive summation and alternative\n    indexing semantics.\n\n    While typed array views mandate a view offset based on the underlying\n    buffer, the `offset` parameter supports indexing semantics based on a\n    starting index.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    offset: integer\n        Starting index.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumors.ndarray( x.length, x, 1, 0 )\n    1.0\n\n    // Using offset parameter:\n    > var x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > var N = base.floor( x.length / 2 );\n    > base.strided.dnansumors.ndarray( N, x, 2, 1 )\n    -1.0\n\n    See Also\n    --------\n    base.strided.dnansum, base.strided.dnansumkbn2, base.strided.dnansumpw, base.strided.dsumors, base.strided.gnansumors, base.strided.snansumors\n"
 base.strided.dnansumors.ndarray,"\nbase.strided.dnansumors.ndarray( N, x, stride, offset )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using ordinary recursive summation and alternative\n    indexing semantics.\n\n    While typed array views mandate a view offset based on the underlying\n    buffer, the `offset` parameter supports indexing semantics based on a\n    starting index.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    offset: integer\n        Starting index.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumors.ndarray( x.length, x, 1, 0 )\n    1.0\n\n    // Using offset parameter:\n    > var x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > var N = base.floor( x.length / 2 );\n    > base.strided.dnansumors.ndarray( N, x, 2, 1 )\n    -1.0\n\n    See Also\n    --------\n    base.strided.dnansum, base.strided.dnansumkbn2, base.strided.dnansumpw, base.strided.dsumors, base.strided.gnansumors, base.strided.snansumors"
 base.strided.dnansumpw,"\nbase.strided.dnansumpw( N, x, stride )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using pairwise summation.\n\n    The `N` and `stride` parameters determine which elements in `x` are accessed\n    at runtime.\n\n    Indexing is relative to the first index. To introduce an offset, use a typed\n    array view.\n\n    If `N <= 0`, the function returns `0.0`.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumpw( x.length, x, 1 )\n    1.0\n\n    // Using `N` and `stride` parameters:\n    > x = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\n    > var N = base.floor( x.length / 2 );\n    > var stride = 2;\n    > base.strided.dnansumpw( N, x, stride )\n    1.0\n\n    // Using view offsets:\n    > var x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\n    > N = base.floor( x0.length / 2 );\n    > stride = 2;\n    > base.strided.dnansumpw( N, x1, stride )\n    -1.0\n\nbase.strided.dnansumpw.ndarray( N, x, stride, offset )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using pairwise summation and alternative indexing\n    semantics.\n\n    While typed array views mandate a view offset based on the underlying\n    buffer, the `offset` parameter supports indexing semantics based on a\n    starting index.\n\n    Parameters\n    ----------\n    N: integer\n        Number of indexed elements.\n\n    x: Float64Array\n        Input array.\n\n    stride: integer\n        Index increment.\n\n    offset: integer\n        Starting index.\n\n    Returns\n    -------\n    out: number\n        Sum.\n\n    Examples\n    --------\n    // Standard Usage:\n    > var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n    > base.strided.dnansumpw.ndarray( x.length, x, 1, 0 )\n    1.0\n\n    // Using offset parameter:\n    > var x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\n    > var N = base.floor( x.length / 2 );\n    > base.strided.dnansumpw.ndarray( N, x, 2, 1 )\n    -1.0\n\n    See Also\n    --------\n    base.strided.dnansum, base.strided.dnansumkbn2, base.strided.dnansumors, base.strided.dsumpw, base.strided.gnansumpw, base.strided.snansumpw\n"