diff --git a/lib/node_modules/@stdlib/stats/base/dmediansorted/README.md b/lib/node_modules/@stdlib/stats/base/dmediansorted/README.md
index a86ace776024..c2c224047c75 100644
--- a/lib/node_modules/@stdlib/stats/base/dmediansorted/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmediansorted/README.md
@@ -36,7 +36,7 @@ limitations under the License.
var dmediansorted = require( '@stdlib/stats/base/dmediansorted' );
```
-#### dmediansorted( N, x, stride )
+#### dmediansorted( N, x, strideX )
Computes the median value of a sorted double-precision floating-point strided array `x`.
@@ -56,18 +56,16 @@ The function has the following parameters:
- **N**: number of indexed elements.
- **x**: sorted input [`Float64Array`][@stdlib/array/float64].
-- **stride**: index increment for `x`.
+- **strideX**: index increment for `x`.
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the median value of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the median value of every other element in `x`,
```javascript
var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, 3.0, 3.0, 4.0, 2.0 ] );
-var N = floor( x.length / 2 );
-var v = dmediansorted( N, x, 2 );
+var v = dmediansorted( 4, x, 2 );
// returns 2.5
```
@@ -77,18 +75,15 @@ Note that indexing is relative to the first index. To introduce an offset, use [
```javascript
var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
var x0 = new Float64Array( [ 2.0, 1.0, 2.0, 2.0, -2.0, 2.0, 3.0, 4.0 ] );
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-var N = floor( x0.length / 2 );
-
-var v = dmediansorted( N, x1, 2 );
+var v = dmediansorted( 4, x1, 2 );
// returns 2.0
```
-#### dmediansorted.ndarray( N, x, stride, offset )
+#### dmediansorted.ndarray( N, x, strideX, offsetX )
Computes the median value of a sorted double-precision floating-point strided array using alternative indexing semantics.
@@ -96,9 +91,8 @@ Computes the median value of a sorted double-precision floating-point strided ar
var Float64Array = require( '@stdlib/array/float64' );
var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
-var N = x.length;
-var v = dmediansorted.ndarray( N, x, 1, 0 );
+var v = dmediansorted.ndarray( x.length, x, 1, 0 );
// returns 2.0
```
@@ -110,12 +104,10 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
```javascript
var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
var x = new Float64Array( [ 2.0, 1.0, 2.0, 2.0, -2.0, 2.0, 3.0, 4.0 ] );
-var N = floor( x.length / 2 );
-var v = dmediansorted.ndarray( N, x, 2, 1 );
+var v = dmediansorted.ndarray( 4, x, 2, 1 );
// returns 2.0
```
@@ -141,16 +133,13 @@ var v = dmediansorted.ndarray( N, x, 2, 1 );
```javascript
-var Float64Array = require( '@stdlib/array/float64' );
+var linspace = require( '@stdlib/array/linspace' );
var dmediansorted = require( '@stdlib/stats/base/dmediansorted' );
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
- x[ i ] = i - 5.0;
-}
+var options = {
+ 'dtype': 'float64'
+};
+var x = linspace( -5.0, 5.0, 10, options );
console.log( x );
var v = dmediansorted( x.length, x, 1 );
@@ -161,6 +150,123 @@ console.log( v );
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dmediansorted.h"
+```
+
+#### stdlib_strided_dmediansorted( N, \*X, strideX )
+
+Computes the median value of a sorted double-precision floating-point strided array.
+
+```c
+const double x[] = { 1.0, 2.0, 3.0 };
+
+double v = stdlib_strided_dmediansorted( 3, x, 1 );
+// returns 2.0
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] double*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+double stdlib_strided_dmediansorted( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_dmediansorted_ndarray( N, \*X, strideX, offsetX )
+
+Computes the median value of a sorted double-precision floating-point strided array using alternative indexing semantics.
+
+```c
+const double x[] = { 1.0, 2.0, 3.0 };
+
+double v = stdlib_strided_dmediansorted_ndarray( 3, x, 1, 0 );
+// returns 2.0
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] double*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+- **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+double stdlib_strided_dmediansorted_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dmediansorted.h"
+#include
+
+int main( void ) {
+ // Create a strided array:
+ const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };
+
+ // Specify the number of elements:
+ const int N = 4;
+
+ // Specify the stride length:
+ const int strideX = 2;
+
+ // Compute the median value:
+ double v = stdlib_strided_dmediansorted( N, x, strideX );
+
+ // Print the result:
+ printf( "median: %lf\n", v );
+}
+```
+
+
+
+
+
+
+
+
+