diff --git a/lib/node_modules/@stdlib/blas/ext/base/dsumors/README.md b/lib/node_modules/@stdlib/blas/ext/base/dsumors/README.md
index a68ee7615de1..24d284967a28 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/dsumors/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/dsumors/README.md
@@ -36,7 +36,7 @@ limitations under the License.
var dsumors = require( '@stdlib/blas/ext/base/dsumors' );
```
-#### dsumors( N, x, stride )
+#### dsumors( N, x, strideX )
Computes the sum of double-precision floating-point strided array elements using ordinary recursive summation.
@@ -44,9 +44,8 @@ Computes the sum of double-precision floating-point strided array elements using
var Float64Array = require( '@stdlib/array/float64' );
var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
-var v = dsumors( N, x, 1 );
+var v = dsumors( x.length, x, 1 );
// returns 1.0
```
@@ -54,9 +53,9 @@ The function has the following parameters:
- **N**: number of indexed elements.
- **x**: input [`Float64Array`][@stdlib/array/float64].
-- **stride**: index increment for `x`.
+- **strideX**: stride length for `x`.
-The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the sum 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 sum of every other element:
```javascript
var Float64Array = require( '@stdlib/array/float64' );
@@ -81,7 +80,7 @@ var v = dsumors( 4, x1, 2 );
// returns 5.0
```
-#### dsumors.ndarray( N, x, stride, offset )
+#### dsumors.ndarray( N, x, strideX, offsetX )
Computes the sum of double-precision floating-point strided array elements using ordinary recursive summation and alternative indexing semantics.
@@ -89,17 +88,16 @@ Computes the sum of double-precision floating-point strided array elements using
var Float64Array = require( '@stdlib/array/float64' );
var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
-var v = dsumors.ndarray( N, x, 1, 0 );
+var v = dsumors.ndarray( x.length, x, 1, 0 );
// returns 1.0
```
The function has the following additional parameters:
-- **offset**: starting index for `x`.
+- **offsetX**: starting index for `x`.
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the sum of every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the sum of every other element starting from the second element:
```javascript
var Float64Array = require( '@stdlib/array/float64' );
@@ -132,11 +130,12 @@ var v = dsumors.ndarray( 4, x, 2, 1 );
```javascript
-var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
-var filledarrayBy = require( '@stdlib/array/filled-by' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var dsumors = require( '@stdlib/blas/ext/base/dsumors' );
-var x = filledarrayBy( 10, 'float64', discreteUniform( 0, 100 ) );
+var x = discreteUniform( 10, -100, 100, {
+ 'dtype': 'float64'
+});
console.log( x );
var v = dsumors( x.length, x, 1 );
@@ -147,6 +146,123 @@ console.log( v );
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/blas/ext/base/dsumors.h"
+```
+
+#### stdlib_strided_dsumors( N, \*X, strideX )
+
+Computes the sum of double-precision floating-point strided array elements using ordinary recursive summation.
+
+```c
+const double x[] = { 1.0, 2.0, 3.0, 4.0 };
+
+double v = stdlib_strided_dsumors( 4, x, 1 );
+// returns 10.0
+```
+
+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_dsumors( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_dsumors_ndarray( N, \*X, strideX, offsetX )
+
+Computes the sum of double-precision floating-point strided array elements using ordinary recursive summation and alternative indexing semantics.
+
+```c
+const double x[] = { 1.0, 2.0, 3.0, 4.0 };
+
+double v = stdlib_strided_dsumors_ndarray( 4, x, 1, 0 );
+// returns 10.0
+```
+
+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_dsumors_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/blas/ext/base/dsumors.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 sum:
+ double v = stdlib_strided_dsumors( N, x, strideX );
+
+ // Print the result:
+ printf( "sum: %lf\n", v );
+}
+```
+
+
+
+
+
+
+
+
+