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{{alias}}( N, order, x, strideX, y, strideY )
Simultaneously sorts two double-precision floating-point strided arrays
based on the sort order of the first array using insertion sort.
The `N` and `stride` parameters determine which elements in `x` and `y` are
accessed at runtime.
Indexing is relative to the first index. To introduce an offset, use typed
array views.
If `N <= 0` or `order == 0`, the function leaves `x` and `y` unchanged.
The algorithm distinguishes between `-0` and `+0`. When sorted in increasing
order, `-0` is sorted before `+0`. When sorted in decreasing order, `-0` is
sorted after `+0`.
The algorithm sorts `NaN` values to the end. When sorted in increasing
order, `NaN` values are sorted last. When sorted in decreasing order, `NaN`
values are sorted first.
The algorithm has space complexity O(1) and worst case time complexity
O(N^2).
The algorithm is efficient for *small* strided arrays (typically N <= 20)
and is particularly efficient for sorting strided arrays which are already
substantially sorted.
The algorithm is *stable*, meaning that the algorithm does *not* change the
order of strided array elements which are equal or equivalent (e.g., `NaN`
values).
The input strided arrays are sorted *in-place* (i.e., the input strided
arrays is *mutated*).
Parameters
----------
N: integer
Number of indexed elements.
order: number
Sort order. If `order < 0`, the function sorts `x` in decreasing order.
If `order > 0`, the function sorts `x` in increasing order.
x: Float64Array
First input array.
strideX: integer
Index increment for `x`.
y: Float64Array
Second input array.
strideY: integer
Index increment for `y`.
Returns
-------
x: Float64Array
Input array `x`.
Examples
--------
// Standard Usage:
> var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, -4.0 ] );
> var y = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 3.0 ] );
> {{alias}}( x.length, 1, x, 1, y, 1 )
<Float64Array>[ -4.0, -2.0, 1.0, 3.0 ]
> y
<Float64Array>[ 3.0, 1.0, 0.0, 2.0 ]
// Using `N` and `stride` parameters:
> x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, -4.0 ] );
> y = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 3.0 ] );
> var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
> {{alias}}( N, -1, x, 2, y, 2 )
<Float64Array>[ 3.0, -2.0, 1.0, -4.0 ]
> y
<Float64Array>[ 2.0, 1.0, 0.0, 3.0 ]
// Using view offsets:
> var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, -4.0 ] );
> var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
> var y0 = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 3.0 ] );
> var y1 = new {{alias:@stdlib/array/float64}}( y0.buffer, y0.BYTES_PER_ELEMENT*1 );
> N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
> {{alias}}( N, 1, x1, 2, y1, 2 )
<Float64Array>[ -4.0, 3.0, -2.0 ]
> x0
<Float64Array>[ 1.0, -4.0, 3.0, -2.0 ]
> y0
<Float64Array>[ 0.0, 3.0, 2.0, 1.0 ]
{{alias}}.ndarray( N, order, x, strideX, offsetX, y, strideY, offsetY )
Simultaneously sorts two double-precision floating-point strided arrays
based on the sort order of the first array using insertion sort and
alternative indexing semantics.
While typed array views mandate a view offset based on the underlying
buffer, the `offset` parameter supports indexing semantics based on a
starting index.
Parameters
----------
N: integer
Number of indexed elements.
order: number
Sort order. If `order < 0`, the function sorts `x` in decreasing order.
If `order > 0`, the function sorts `x` in increasing order.
x: Float64Array
First input array.
strideX: integer
Index increment for `x`.
offsetX: integer
Starting index of `x`.
y: Float64Array
Second input array.
strideY: integer
Index increment for `y`.
offsetY: integer
Starting index of `y`.
Returns
-------
x: Float64Array
Input array `x`.
Examples
--------
// Standard Usage:
> var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, -4.0 ] );
> var y = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 3.0 ] );
> {{alias}}.ndarray( x.length, 1, x, 1, 0, y, 1, 0 )
<Float64Array>[ -4.0, -2.0, 1.0, 3.0 ]
> y
<Float64Array>[ 3.0, 1.0, 0.0, 2.0 ]
// Using an index offset:
> x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, -4.0 ] );
> y = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 3.0 ] );
> var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
> {{alias}}.ndarray( N, 1, x, 2, 1, y, 2, 1 )
<Float64Array>[ 1.0, -4.0, 3.0, -2.0 ]
> y
<Float64Array>[ 0.0, 3.0, 2.0, 1.0 ]
See Also
--------
|
