diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/saxpby/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/saxpby/README.md
index 3d3323c7f114..31ec5e2d169f 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/saxpby/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/saxpby/README.md
@@ -129,6 +129,199 @@ console.log( ndarray2array( y ) );
+
+
+* * *
+
+
+
+## C APIs
+
+
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+
+
+### Usage
+
+```c
+#include "stdlib/blas/ext/base/ndarray/saxpby.h"
+```
+
+#### stdlib_blas_ext_saxpby( arrays )
+
+Multiplies a one-dimensional single-precision floating-point ndarray by a scalar constant and adds the result to a second one-dimensional single-precision floating-point ndarray multiplied by a scalar constant.
+
+```c
+#include "stdlib/ndarray/ctor.h"
+#include "stdlib/ndarray/dtypes.h"
+#include "stdlib/ndarray/index_modes.h"
+#include "stdlib/ndarray/orders.h"
+#include "stdlib/ndarray/base/bytes_per_element.h"
+#include
+
+// Create input ndarrays:
+float dataX[] = { 1.0f, 2.0f, 3.0f, 4.0f };
+float dataY[] = { 2.0f, 3.0f, 4.0f, 5.0f };
+int64_t shape[] = { 4 };
+int64_t strides[] = { STDLIB_NDARRAY_FLOAT32_BYTES_PER_ELEMENT };
+int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR };
+
+struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)dataX, 1, shape, strides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );
+struct ndarray *y = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)dataY, 1, shape, strides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );
+
+// Create an ndarray containing the constant by which to multiply the input ndarray:
+const float adata[] = { 5.0f };
+int64_t astrides[] = { 0 };
+
+struct ndarray *alpha = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)adata, 0, NULL, astrides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );
+
+// Create an ndarray containing the constant by which to multiply the output ndarray:
+const float bdata[] = { 2.0f };
+int64_t bstrides[] = { 0 };
+
+struct ndarray *beta = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)bdata, 0, NULL, bstrides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes );
+
+// Perform computation:
+const struct ndarray *arrays[] = { x, y, alpha, beta };
+stdlib_blas_ext_saxpby( arrays );
+
+// Free allocated memory:
+stdlib_ndarray_free( x );
+stdlib_ndarray_free( y );
+stdlib_ndarray_free( alpha );
+stdlib_ndarray_free( beta );
+```
+
+The function accepts the following arguments:
+
+- **arrays**: `[in] struct ndarray**` list containing the following ndarrays:
+
+ - `[in] struct ndarray*` a one-dimensional input ndarray.
+ - `[inout] struct ndarray*` a one-dimensional output ndarray.
+ - `[in] struct ndarray*` a zero-dimensional ndarray containing the constant by which to multiply the input ndarray.
+ - `[in] struct ndarray*` a zero-dimensional ndarray containing the constant by which to multiply the output ndarray.
+
+```c
+void stdlib_blas_ext_saxpby( const struct ndarray *arrays[] );
+```
+
+
+
+
+
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+
+
+
+
+### Examples
+
+```c
+#include "stdlib/blas/ext/base/ndarray/saxpby.h"
+#include "stdlib/ndarray/ctor.h"
+#include "stdlib/ndarray/dtypes.h"
+#include "stdlib/ndarray/index_modes.h"
+#include "stdlib/ndarray/orders.h"
+#include "stdlib/ndarray/base/bytes_per_element.h"
+#include
+#include
+#include
+
+int main( void ) {
+ // Create data buffers:
+ float dataX[] = { 1.0f, 2.0f, 3.0f, 4.0f };
+ float dataY[] = { 2.0f, 3.0f, 4.0f, 5.0f };
+
+ // Specify the number of array dimensions:
+ const int64_t ndims = 1;
+
+ // Specify the array shape:
+ int64_t shape[] = { 4 };
+
+ // Specify the array strides:
+ int64_t strides[] = { STDLIB_NDARRAY_FLOAT32_BYTES_PER_ELEMENT };
+
+ // Specify the byte offset:
+ const int64_t offset = 0;
+
+ // Specify the array order:
+ const enum STDLIB_NDARRAY_ORDER order = STDLIB_NDARRAY_ROW_MAJOR;
+
+ // Specify the index mode:
+ const enum STDLIB_NDARRAY_INDEX_MODE imode = STDLIB_NDARRAY_INDEX_ERROR;
+
+ // Specify the subscript index modes:
+ int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR };
+ const int64_t nsubmodes = 1;
+
+ // Create input ndarrays:
+ struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)dataX, ndims, shape, strides, offset, order, imode, nsubmodes, submodes );
+ struct ndarray *y = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)dataY, ndims, shape, strides, offset, order, imode, nsubmodes, submodes );
+
+ // Create a data buffer for an ndarray containing the constant by which to multiply the input ndarray:
+ const float adata[] = { 5.0f };
+
+ // Specify the array strides for a zero-dimensional ndarray:
+ int64_t astrides[] = { 0 };
+
+ // Create an ndarray containing the constant by which to multiply the input ndarray:
+ struct ndarray *alpha = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)adata, 0, NULL, astrides, 0, order, imode, nsubmodes, submodes );
+
+ // Create a data buffer for an ndarray containing the constant by which to multiply the output ndarray:
+ const float bdata[] = { 2.0f };
+
+ // Specify the array strides for a zero-dimensional ndarray:
+ int64_t bstrides[] = { 0 };
+
+ // Create an ndarray containing the constant by which to multiply the output ndarray:
+ struct ndarray *beta = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT32, (uint8_t *)bdata, 0, NULL, bstrides, 0, order, imode, nsubmodes, submodes );
+ if ( x == NULL || y == NULL || alpha == NULL || beta == NULL ) {
+ fprintf( stderr, "Error allocating memory.\n" );
+ exit( 1 );
+ }
+
+ // Define a list of ndarrays:
+ const struct ndarray *arrays[] = { x, y, alpha, beta };
+
+ // Perform computation:
+ stdlib_blas_ext_saxpby( arrays );
+
+ // Print the result:
+ for ( int i = 0; i < 4; i++ ) {
+ printf( "y[ %i ] = %f\n", i, dataY[ i ] );
+ }
+
+ // Free allocated memory:
+ stdlib_ndarray_free( x );
+ stdlib_ndarray_free( y );
+ stdlib_ndarray_free( alpha );
+ stdlib_ndarray_free( beta );
+}
+```
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