docs: change variable naming in blas/base/cscal

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Author: ShabiShett07

lib/node_modules/@stdlib/blas/base/cscal/README.md

@@ -30,39 +30,39 @@ limitations under the License.
 var cscal = require( '@stdlib/blas/base/cscal' );
 ```
 
-#### cscal( N, ca, cx, strideX )
+#### cscal( N, alpha, x, strideX )
 
-Scales values from `cx` by `ca`.
+Scales values from `x` by `alpha`.
 
 ```javascript
 var Complex64Array = require( '@stdlib/array/complex64' );
 var Complex64 = require( '@stdlib/complex/float32/ctor' );
 
-var cx = new Complex64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
-var ca = new Complex64( 2.0, 0.0 );
+var x = new Complex64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+var alpha = new Complex64( 2.0, 0.0 );
 
-cscal( 3, ca, cx, 1 );
-// cx => <Complex64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+cscal( 3, alpha, x, 1 );
+// x => <Complex64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
 ```
 
 The function has the following parameters:
 
 -   **N**: number of indexed elements.
--   **ca**: scalar [`Complex64`][@stdlib/complex/float32/ctor] constant.
--   **cx**: input [`Complex64Array`][@stdlib/array/complex64].
--   **strideX**: index increment for `cx`.
+-   **alpha**: scalar [`Complex64`][@stdlib/complex/float32/ctor] constant.
+-   **x**: input [`Complex64Array`][@stdlib/array/complex64].
+-   **strideX**: index increment for `x`.
 
-The `N` and stride parameters determine how values from `cx` are scaled by `ca`. For example, to scale every other value in `cx` by `ca`,
+The `N` and stride parameters determine how values from `x` are scaled by `alpha`. For example, to scale every other value in `x` by `alpha`,
 
 ```javascript
 var Complex64Array = require( '@stdlib/array/complex64' );
 var Complex64 = require( '@stdlib/complex/float32/ctor' );
 
-var cx = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
-var ca = new Complex64( 2.0, 0.0 );
+var x = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+var alpha = new Complex64( 2.0, 0.0 );
 
-cscal( 2, ca, cx, 2 );
-// cx => <Complex64Array>[ 2.0, 4.0, 3.0, 4.0, 10.0, 12.0, 7.0, 8.0 ]
+cscal( 2, alpha, x, 2 );
+// x => <Complex64Array>[ 2.0, 4.0, 3.0, 4.0, 10.0, 12.0, 7.0, 8.0 ]
 ```
 
 Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
@@ -74,49 +74,49 @@ var Complex64Array = require( '@stdlib/array/complex64' );
 var Complex64 = require( '@stdlib/complex/float32/ctor' );
 
 // Initial array:
-var cx0 = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+var x0 = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
 
 // Define a scalar constant:
-var ca = new Complex64( 2.0, 2.0 );
+var alpha = new Complex64( 2.0, 2.0 );
 
 // Create an offset view:
-var cx1 = new Complex64Array( cx0.buffer, cx0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var x1 = new Complex64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-// Scales every other value from `cx1` by `ca`...
-cscal( 3, ca, cx1, 1 );
-// cx0 => <Complex64Array>[ 1.0, 2.0, -2.0, 14.0, -2.0, 22.0, -2.0, 30.0 ]
+// Scales every other value from `x1` by `alpha`...
+cscal( 3, alpha, x1, 1 );
+// x0 => <Complex64Array>[ 1.0, 2.0, -2.0, 14.0, -2.0, 22.0, -2.0, 30.0 ]
 ```
 
-#### cscal.ndarray( N, ca, cx, strideX, offsetX )
+#### cscal.ndarray( N, alpha, x, strideX, offsetX )
 
-Scales values from `cx` by `ca` using alternative indexing semantics.
+Scales values from `x` by `alpha` using alternative indexing semantics.
 
 ```javascript
 var Complex64Array = require( '@stdlib/array/complex64' );
 var Complex64 = require( '@stdlib/complex/float32/ctor' );
 
-var cx = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
-var ca = new Complex64( 2.0, 2.0 );
+var x = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var alpha = new Complex64( 2.0, 2.0 );
 
-cscal.ndarray( 3, ca, cx, 1, 0 );
-// cx => <Complex64Array>[ -2.0, 6.0, -2.0, 14.0, -2.0, 22.0 ]
+cscal.ndarray( 3, alpha, x, 1, 0 );
+// x => <Complex64Array>[ -2.0, 6.0, -2.0, 14.0, -2.0, 22.0 ]
 ```
 
 The function has the following additional parameters:
 
--   **offsetX**: starting index for `cx`.
+-   **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 scale every other value in the input strided array starting from the second element,
 
 ```javascript
 var Complex64Array = require( '@stdlib/array/complex64' );
 var Complex64 = require( '@stdlib/complex/float32/ctor' );
 
-var cx = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
-var ca = new Complex64( 2.0, 2.0 );
+var x = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+var alpha = new Complex64( 2.0, 2.0 );
 
-cscal.ndarray( 2, ca, cx, 2, 1 );
-// cx => <Complex64Array>[ 1.0, 2.0, -2.0, 14.0, 5.0, 6.0, -2.0, 30.0 ]
+cscal.ndarray( 2, alpha, x, 2, 1 );
+// x => <Complex64Array>[ 1.0, 2.0, -2.0, 14.0, 5.0, 6.0, -2.0, 30.0 ]
 ```
 
 </section>
@@ -127,7 +127,7 @@ cscal.ndarray( 2, ca, cx, 2, 1 );
 
 ## Notes
 
--   If `N <= 0` or `strideX <= 0`, both functions return `cx` unchanged.
+-   If `N <= 0` or `strideX <= 0`, both functions return `x` unchanged.
 -   `cscal()` corresponds to the [BLAS][blas] level 1 function [`cscal`][cscal].
 
 </section>
@@ -150,15 +150,15 @@ function rand() {
     return new Complex64( discreteUniform( 0, 10 ), discreteUniform( -5, 5 ) );
 }
 
-var cx = filledarrayBy( 10, 'complex64', rand );
-console.log( cx.toString() );
+var x = filledarrayBy( 10, 'complex64', rand );
+console.log( x.toString() );
 
-var ca = new Complex64( 2.0, 2.0 );
-console.log( ca.toString() );
+var alpha = new Complex64( 2.0, 2.0 );
+console.log( alpha.toString() );
 
-// Scale elements from `cx` by `ca`:
-cscal( cx.length, ca, cx, 1 );
-console.log( cx.get( cx.length-1 ).toString() );
+// Scale elements from `x` by `alpha`:
+cscal( x.length, alpha, x, 1 );
+console.log( x.get( x.length-1 ).toString() );
 ```
 
 </section>
@@ -191,53 +191,53 @@ console.log( cx.get( cx.length-1 ).toString() );
 #include "stdlib/blas/base/cscal.h"
 ```
 
-#### c_cscal( N, ca, \*CX, strideX )
+#### c_cscal( N, alpha, \*X, strideX )
 
-Scales values from `CX` by `ca`.
+Scales values from `X` by `alpha`.
 
 ```c
 #include "stdlib/complex/float32/ctor.h"
 
-float cx[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
-const stdlib_complex64_t ca = stdlib_complex64( 2.0f, 2.0f );
+float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
+const stdlib_complex64_t alpha = stdlib_complex64( 2.0f, 2.0f );
 
-c_cscal( 4, ca, (void *)cx, 1 );
+c_cscal( 4, alpha, (void *)x, 1 );
 ```
 
 The function accepts the following arguments:
 
 -   **N**: `[in] CBLAS_INT` number of indexed elements.
--   **ca**: `[in] stdlib_complex64_t` scalar constant.
--   **CX**: `[inout] void*` input array.
--   **strideX**: `[in] CBLAS_INT` index increment for `CX`.
+-   **alpha**: `[in] stdlib_complex64_t` scalar constant.
+-   **X**: `[inout] void*` input array.
+-   **strideX**: `[in] CBLAS_INT` index increment for `X`.
 
 ```c
-void c_cscal( const CBLAS_INT N, const stdlib_complex64_t ca, void *CX, const CBLAS_INT strideX );
+void c_cscal( const CBLAS_INT N, const stdlib_complex64_t alpha, void *X, const CBLAS_INT strideX );
 ```
 
-#### c_cscal_ndarray( N, ca, \*CX, strideX, offsetX )
+#### c_cscal_ndarray( N, alpha, \*X, strideX, offsetX )
 
-Scales values from `CX` by `ca` using alternative indexing semantics.
+Scales values from `X` by `alpha` using alternative indexing semantics.
 
 ```c
 #include "stdlib/complex/float32/ctor.h"
 
-float cx[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
-const stdlib_complex64_t ca = stdlib_complex64( 2.0f, 2.0f );
+float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
+const stdlib_complex64_t alpha = stdlib_complex64( 2.0f, 2.0f );
 
-c_cscal( 4, ca, (void *)cx, 1, 0 );
+c_cscal( 4, alpha, (void *)x, 1, 0 );
 ```
 
 The function accepts the following arguments:
 
 -   **N**: `[in] CBLAS_INT` number of indexed elements.
--   **ca**: `[in] stdlib_complex64_t` scalar constant.
--   **CX**: `[inout] void*` input array.
--   **strideX**: `[in] CBLAS_INT` index increment for `CX`.
--   **offsetX**: `[in] CBLAS_INT` starting index for `CX`.
+-   **alpha**: `[in] stdlib_complex64_t` scalar constant.
+-   **X**: `[inout] void*` input array.
+-   **strideX**: `[in] CBLAS_INT` index increment for `X`.
+-   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
 
 ```c
-void c_cscal_ndarray( const CBLAS_INT N, const stdlib_complex64_t ca, void *CX, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+void c_cscal_ndarray( const CBLAS_INT N, const stdlib_complex64_t alpha, void *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 ```
 
 </section>
@@ -265,10 +265,10 @@ void c_cscal_ndarray( const CBLAS_INT N, const stdlib_complex64_t ca, void *CX,
 
 int main( void ) {
     // Create a strided array of interleaved real and imaginary components:
-    float cx[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
+    float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
 
     // Create a complex scalar:
-    const stdlib_complex64_t ca = stdlib_complex64( 2.0f, 2.0f );
+    const stdlib_complex64_t alpha = stdlib_complex64( 2.0f, 2.0f );
 
     // Specify the number of elements:
     const int N = 4;
@@ -277,19 +277,19 @@ int main( void ) {
     const int strideX = 1;
 
     // Scale the elements of the array:
-    c_cscal( N, ca, (void *)cx, strideX );
+    c_cscal( N, alpha, (void *)x, strideX );
 
     // Print the result:
     for ( int i = 0; i < N; i++ ) {
-        printf( "cx[ %i ] = %f + %fj\n", i, cx[ i*2 ], cx[ (i*2)+1 ] );
+        printf( "x[ %i ] = %f + %fj\n", i, x[ i*2 ], x[ (i*2)+1 ] );
     }
 
     // Scale the elements of the array:
-    c_cscal_ndarray( N, ca, (void *)cx, -strideX, 3 );
+    c_cscal_ndarray( N, alpha, (void *)x, -strideX, 3 );
 
     // Print the result:
     for ( int i = 0; i < N; i++ ) {
-        printf( "cx[ %i ] = %f + %fj\n", i, cx[ i*2 ], cx[ (i*2)+1 ] );
+        printf( "x[ %i ] = %f + %fj\n", i, x[ i*2 ], x[ (i*2)+1 ] );
     }
 }
 ```

lib/node_modules/@stdlib/blas/base/cscal/benchmark/benchmark.js

@@ -47,14 +47,14 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
+	var alpha;
 	var xbuf;
-	var z;
 	var x;
 
 	xbuf = uniform( len*2, -100.0, 100.0, options );
 	x = new Complex64Array( xbuf.buffer );
 
-	z = new Complex64( 1.0, 0.0 );
+	alpha = new Complex64( 1.0, 0.0 );
 
 	return benchmark;
 
@@ -69,7 +69,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			cscal( x.length, z, x, 1 );
+			cscal( x.length, alpha, x, 1 );
 			if ( isnanf( xbuf[ i%(len*2) ] ) ) {
 				b.fail( 'should not return NaN' );
 			}

lib/node_modules/@stdlib/blas/base/cscal/benchmark/benchmark.native.js

@@ -52,14 +52,14 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
+	var alpha;
 	var xbuf;
-	var z;
 	var x;
 
 	xbuf = uniform( len*2, -100.0, 100.0, options );
 	x = new Complex64Array( xbuf.buffer );
 
-	z = new Complex64( 1.0, 0.0 );
+	alpha = new Complex64( 1.0, 0.0 );
 
 	return benchmark;
 
@@ -74,7 +74,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			cscal( x.length, z, x, 1 );
+			cscal( x.length, alpha, x, 1 );
 			if ( isnanf( xbuf[ i%(len*2) ] ) ) {
 				b.fail( 'should not return NaN' );
 			}

lib/node_modules/@stdlib/blas/base/cscal/benchmark/benchmark.ndarray.js

@@ -47,14 +47,14 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
+	var alpha;
 	var xbuf;
-	var z;
 	var x;
 
 	xbuf = uniform( len*2, -100.0, 100.0, options );
 	x = new Complex64Array( xbuf.buffer );
 
-	z = new Complex64( 1.0, 0.0 );
+	alpha = new Complex64( 1.0, 0.0 );
 
 	return benchmark;
 
@@ -69,7 +69,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			cscal( x.length, z, x, 1, 0 );
+			cscal( x.length, alpha, x, 1, 0 );
 			if ( isnanf( xbuf[ i%(len*2) ] ) ) {
 				b.fail( 'should not return NaN' );
 			}

lib/node_modules/@stdlib/blas/base/cscal/benchmark/benchmark.ndarray.native.js

@@ -52,14 +52,14 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
+	var alpha;
 	var xbuf;
-	var z;
 	var x;
 
 	xbuf = uniform( len*2, -100.0, 100.0, options );
 	x = new Complex64Array( xbuf.buffer );
 
-	z = new Complex64( 1.0, 0.0 );
+	alpha = new Complex64( 1.0, 0.0 );
 
 	return benchmark;
 
@@ -74,7 +74,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			cscal( x.length, z, x, 1, 0 );
+			cscal( x.length, alpha, x, 1, 0 );
 			if ( isnanf( xbuf[ i%(len*2) ] ) ) {
 				b.fail( 'should not return NaN' );
 			}