chore: clean-up

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---

Author: kgryte

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

@@ -20,7 +20,7 @@ limitations under the License.
 
 # ggemv
 
-> Perform one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A**T*x + β*y`.
+> Perform one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A^T*x + β*y`.
 
 <section class="usage">
 
@@ -32,7 +32,7 @@ var ggemv = require( '@stdlib/blas/base/ggemv' );
 
 #### ggemv( order, trans, M, N, α, A, LDA, x, sx, β, y, sy )
 
-Performs one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A**T*x + β*y`, where `α` and `β` are scalars, `x` and `y` are vectors, and `A` is an `M` by `N` matrix.
+Performs one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A^T*x + β*y`, where `α` and `β` are scalars, `x` and `y` are vectors, and `A` is an `M` by `N` matrix.
 
 ```javascript
 var A = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
@@ -51,7 +51,7 @@ The function has the following parameters:
 -   **N**: number of columns in the matrix `A`.
 -   **α**: scalar constant.
 -   **A**: input matrix stored in linear memory.
--   **lda**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
+-   **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
 -   **x**: an `M` element input array.
 -   **sx**: stride length for `x`.
 -   **β**: scalar constant.
@@ -91,7 +91,7 @@ ggemv( 'row-major', 'no-transpose', 2, 2, 1.0, A, 2, x1, -1, 1.0, y1, -1 );
 
 #### ggemv.ndarray( trans, M, N, α, A, sa1, sa2, oa, x, sx, ox, β, y, sy, oy )
 
-Performs one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A**T*x + β*y`, using alternative indexing semantics and where `α` and `β` are scalars, `x` and `y` are vectors, and `A` is an `M` by `N` matrix.
+Performs one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A^T*x + β*y`, using alternative indexing semantics and where `α` and `β` are scalars, `x` and `y` are vectors, and `A` is an `M` by `N` matrix.
 
 ```javascript
 var A = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
@@ -131,7 +131,7 @@ ggemv.ndarray( 'no-transpose', 2, 3, 1.0, A, 3, 1, 0, x, 1, 1, 1.0, y, -2, 2 );
 
 ## Notes
 
--   `ggemv()` corresponds to the [BLAS][blas] level 2 function [`ggemv`][ggemv] with the exception that this implementation works with any array type, not just Float64Arrays. Depending on the environment, the typed versions ([`ggemv`][@stdlib/blas/base/ggemv], [`sgemv`][@stdlib/blas/base/sgemv], etc.) are likely to be significantly more performant.
+-   `ggemv()` corresponds to the [BLAS][blas] level 2 function [`dgemv`][dgemv] with the exception that this implementation works with any array type, not just Float64Arrays. Depending on the environment, the typed versions ([`dgemv`][@stdlib/blas/base/dgemv], [`sgemv`][@stdlib/blas/base/sgemv], etc.) are likely to be significantly more performant.
 -   Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
 
 </section>
@@ -184,11 +184,11 @@ console.log( y );
 
 [blas]: http://www.netlib.org/blas
 
-[ggemv]: https://netlib.org/lapack/explore-html-3.6.1/d7/d15/group__double__blas__level2_gadd421a107a488d524859b4a64c1901a9.html
+[dgemv]: https://netlib.org/lapack/explore-html-3.6.1/d7/d15/group__double__blas__level2_gadd421a107a488d524859b4a64c1901a9.html
 
 [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
 
-[@stdlib/blas/base/ggemv]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ggemv
+[@stdlib/blas/base/dgemv]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/dgemv
 
 [@stdlib/blas/base/sgemv]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/sgemv
 

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

@@ -32,7 +32,7 @@ var ggemv = require( './../lib' );
 // VARIABLES //
 
 var options = {
-	'dtype': 'float64'
+	'dtype': 'generic'
 };
 
 

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

@@ -32,7 +32,7 @@ var ggemv = require( './../lib' ).ndarray;
 // VARIABLES //
 
 var options = {
-	'dtype': 'float64'
+	'dtype': 'generic'
 };
 
 

lib/node_modules/@stdlib/blas/base/ggemv/docs/types/index.d.ts

@@ -57,7 +57,7 @@ interface Routine {
 	* ggemv( 'row-major', 'no-transpose', 2, 3, 1.0, A, 3, x, 1, 1.0, y, 1 );
 	* // y => [ 7.0, 16.0 ]
 	*/
-	<T extends InputArray = InputArray>( order: Layout, trans: TransposeOperation, M: number, N: number, alpha: number, A: InputArray, LDA: number, x: InputArray, strideX: number, beta: number, y: InputArray, strideY: number ): T;
+	<T extends InputArray = InputArray>( order: Layout, trans: TransposeOperation, M: number, N: number, alpha: number, A: InputArray, LDA: number, x: InputArray, strideX: number, beta: number, y: T, strideY: number ): T;
 
 	/**
 	* Performs one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A^T*x + β*y`, using alternative indexing semantics and where `α` and `β` are scalars, `x` and `y` are vectors, and `A` is an `M` by `N` matrix.
@@ -87,7 +87,7 @@ interface Routine {
 	* ggemv.ndarray( 'no-transpose', 2, 3, 1.0, A, 3, 1, 0, x, 1, 0, 1.0, y, 1, 0 );
 	* // y => [ 7.0, 16.0 ]
 	*/
-	ndarray<T extends InputArray = InputArray>( trans: TransposeOperation, M: number, N: number, alpha: number, A: InputArray, strideA1: number, strideA2: number, offsetA: number, x: InputArray, strideX: number, offsetX: number, beta: number, y: InputArray, strideY: number, offsetY: number ): T;
+	ndarray<T extends InputArray = InputArray>( trans: TransposeOperation, M: number, N: number, alpha: number, A: InputArray, strideA1: number, strideA2: number, offsetA: number, x: InputArray, strideX: number, offsetX: number, beta: number, y: T, strideY: number, offsetY: number ): T;
 }
 
 /**

lib/node_modules/@stdlib/blas/base/ggemv/lib/accessors.js

@@ -62,7 +62,7 @@ function isTransposed( str ) { // TODO: consider moving to a separate helper uti
 * @param {NonNegativeInteger} N - number of columns in the matrix `A`
 * @param {number} alpha - scalar constant
 * @param {Object} A - output matrix object
-* @param {Collection} A.data - output matrix data
+* @param {Collection} A.data - input matrix data
 * @param {Array<Function>} A.accessors - array element accessors
 * @param {integer} strideA1 - stride of the first dimension of `A`
 * @param {integer} strideA2 - stride of the second dimension of `A`
@@ -78,7 +78,7 @@ function isTransposed( str ) { // TODO: consider moving to a separate helper uti
 * @param {Array<Function>} y.accessors - array element accessors
 * @param {integer} strideY - `y` stride length
 * @param {NonNegativeInteger} offsetY - starting index for `y`
-* @returns {Object} output array object
+* @returns {Object} second input vector object
 *
 * @example
 * var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );

lib/node_modules/@stdlib/blas/base/ggemv/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/blas/base/ggemv",
   "version": "0.0.0",
-  "description": "Perform one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A**T*x + β*y`.",
+  "description": "Perform one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A^T*x + β*y`.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",