docs: update jsdoc

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Author: Shabareesh Shetty

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

@@ -27,10 +27,10 @@ import { Layout, MatrixTriangle, TransposeOperation } from '@stdlib/types/blas';
 */
 interface Routine {
 	/**
-	* Performs one of the symmetric rank `K` operations `C = α*A*A**T + β*C` or `C = α*A**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an `N` by `K` matrix in the first case and a `K` by `N` matrix in the second case.
+	* Performs one of the symmetric rank `K` operations `C = α*A*A^T + β*C` or `C = α*A^T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an `N` by `K` matrix in the first case and a `K` by `N` matrix in the second case.
 	*
 	* @param order - storage layout
-	* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` is supplied
+	* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` to be referenced
 	* @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed
 	* @param N - order of the matrix `C`
 	* @param K - number of columns or number of rows of the matrix `A`
@@ -54,10 +54,10 @@ interface Routine {
 	( order: Layout, uplo: MatrixTriangle, trans: TransposeOperation, N: number, K: number, alpha: number, A: Float64Array, LDA: number, beta: number, C: Float64Array, LDC: number ): Float64Array;
 
 	/**
-	* Performs one of the symmetric rank `K` operations `C = α*A*A**T + β*C` or `C = α*A**T*A + β*C`, using alternative indexing semantics and where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an `N` by `K` matrix in the first case and a `K` by `N` matrix in the second case.
+	* Performs one of the symmetric rank `K` operations `C = α*A*A^T + β*C` or `C = α*A^T*A + β*C`, using alternative indexing semantics and where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an `N` by `K` matrix in the first case and a `K` by `N` matrix in the second case.
 	*
 	* @param order - storage layout
-	* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` is supplied
+	* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` to be referenced
 	* @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed
 	* @param N - order of the matrix `C`
 	* @param K - number of columns or number of rows of the matrix `A`
@@ -79,17 +79,17 @@ interface Routine {
 	* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] );
 	* var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] );
 	*
-	* dsyrk( 'upper', 'no-transpose', 3, 3, 1.0, A, 3, 1, 0, 1.0, C, 3, 1, 0 );
+	* dsyrk.ndarray( 'upper', 'no-transpose', 3, 3, 1.0, A, 3, 1, 0, 1.0, C, 3, 1, 0 );
 	* // C => <Float64Array>[ 15.0, 34.0, 53.0, 0.0, 81.0, 127.0, 0.0, 0.0, 200.0 ]
 	*/
 	ndarray( uplo: MatrixTriangle, trans: TransposeOperation, N: number, K: number, alpha: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, beta: number, C: Float64Array, strideC1: number, strideC2: number, offsetC: number ): Float64Array;
 }
 
 /**
-* Performs one of the symmetric rank `K` operations `C = α*A*A**T + β*C` or `C = α*A**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an `N` by `K` matrix in the first case and a `K` by `N` matrix in the second case.
+* Performs one of the symmetric rank `K` operations `C = α*A*A^T + β*C` or `C = α*A^T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an `N` by `K` matrix in the first case and a `K` by `N` matrix in the second case.
 *
 * @param order - storage layout
-* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` is supplied
+* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` to be referenced
 * @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed
 * @param N - order of the matrix `C`
 * @param K - number of columns or number of rows of the matrix `A`

lib/node_modules/@stdlib/blas/base/dsyrk/lib/dsyrk.js

@@ -32,7 +32,7 @@ var base = require( './base.js' );
 // MAIN //
 
 /**
-* Performs one of the symmetric rank `K` operations `C = α*A*A**T + β*C` or `C = α*A**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an `N` by `K` matrix in the first case and a `K` by `N` matrix in the second case.
+* Performs one of the symmetric rank `K` operations `C = α*A*A^T + β*C` or `C = α*A^T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an `N` by `K` matrix in the first case and a `K` by `N` matrix in the second case.
 *
 * @param {string} order - storage layout
 * @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` is supplied

lib/node_modules/@stdlib/blas/base/dsyrk/lib/index.js

@@ -19,7 +19,7 @@
 'use strict';
 
 /**
-* BLAS level 3 routine to perform one of the symmetric rank `K` operations `C = α*A*A**T + β*C` or `C = α*A**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an `N` by `K` matrix in the first case and a `K` by `N` matrix in the second case.
+* BLAS level 3 routine to perform one of the symmetric rank `K` operations `C = α*A*A^T + β*C` or `C = α*A^T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an `N` by `K` matrix in the first case and a `K` by `N` matrix in the second case.
 *
 * @module @stdlib/blas/base/dsyrk
 *

lib/node_modules/@stdlib/blas/base/dsyrk/lib/ndarray.js

@@ -29,7 +29,7 @@ var base = require( './base.js' );
 // MAIN //
 
 /**
-* Performs one of the symmetric rank `K` operations `C = α*A*A**T + β*C` or `C = α*A**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an `N` by `K` matrix in the first case and a `K` by `N` matrix in the second case.
+* Performs one of the symmetric rank `K` operations `C = α*A*A^T + β*C` or `C = α*A^T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` is an `N` by `K` matrix in the first case and a `K` by `N` matrix in the second case.
 *
 * @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` is supplied
 * @param {string} trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed