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---

Author: ShabiShett07

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

@@ -20,7 +20,7 @@ limitations under the License.
 
 # strmm
 
-> Perform one of the matrix-matrix operations `B = alpha * op(A) * B` or `B = alpha * B * op(A)` where  alpha  is a scalar,  B  is an m by n matrix,  A  is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of `op( A ) = A` or `op( A ) = A**T`.
+> Perform one of the matrix-matrix operations `B = α * op(A) * B` or `B = α * B * op(A)` where α is a scalar, `B` is an `M` by `N` matrix, A is a unit, or non-unit, upper or lower triangular matrix and `op( A )` is one of `op( A ) = A` or `op( A ) = A**T`.
 
 <section class = "usage">
 
@@ -30,9 +30,9 @@ limitations under the License.
 var strmm = require( '@stdlib/blas/base/strmm' );
 ```
 
-#### strmm( order, side, uplo, transa, diag, m, n, alpha, A, LDA, B, LDB )
+#### strmm( order, side, uplo, transa, diag, M, N, alpha, A, LDA, B, LDB )
 
-Performs one of the matrix-matrix operations `B = alpha * op(A) * B` or `B = alpha * B * op(A)` where  alpha  is a scalar,  B  is an m by n matrix,  A  is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of `op( A ) = A` or `op( A ) = A**T`.
+Performs one of the matrix-matrix operations `B = α * op(A) * B` or `B = α * B * op(A)` where α is a scalar, `B` is an `M` by `N` matrix, A is a unit, or non-unit, upper or lower triangular matrix and `op( A )` is one of `op( A ) = A` or `op( A ) = A**T`.
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
@@ -51,8 +51,8 @@ The function has the following parameters:
 -   **uplo**: specifies whether the upper or lower triangular part of the matrix `A` is supplied.
 -   **transa**: specifies the form of `op( A )` to be used in the matrix multiplication.
 -   **diag**: specifies whether or not `A` is unit triangular.
--   **m**: number of rows in `B`.
--   **n**: number of columns in `B`.
+-   **M**: number of rows in `B`.
+-   **N**: number of columns in `B`.
 -   **alpha**: scalar constant.
 -   **A**: input matrix `A`.
 -   **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
@@ -78,9 +78,9 @@ strmm( 'row-major', 'left', 'lower', 'no-transpose', 'unit', 3, 3, 1.0, A1, 3, B
 // B1 => <Float32Array>[ 1.0, 2.0, 3.0, 6.0, 9.0, 12.0, 31.0, 41.0, 51.0 ]
 ```
 
-#### strmm.ndarray( s, ul, t, d, m, n, α, A, sa1, sa2, oa, B, sb1, sb2, ob )
+#### strmm.ndarray( s, ul, t, d, M, N, α, A, sa1, sa2, oa, B, sb1, sb2, ob )
 
-Performs one of the matrix-matrix operations `B = alpha * op(A) * B` or `B = alpha * B * op(A)` using alternative indexing semantics and where  alpha  is a scalar,  B  is an m by n matrix,  A  is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of `op( A ) = A` or `op( A ) = A**T`.
+one of the matrix-matrix operations `B = α * op(A) * B` or `B = α * B * op(A)` using alternative indexing semantics and where α is a scalar, `B` is an `M` by `N` matrix, A is a unit, or non-unit, upper or lower triangular matrix and `op( A )` is one of `op( A ) = A` or `op( A ) = A**T`.
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
@@ -98,8 +98,8 @@ The function has the following parameters:
 -   **uplo**: specifies whether the upper or lower triangular part of the matrix `A` is supplied.
 -   **transa**: specifies the form of `op( A )` to be used in the matrix multiplication.
 -   **diag**: specifies whether or not `A` is unit triangular.
--   **m**: number of rows in `B`.
--   **n**: number of columns in `B`.
+-   **M**: number of rows in `B`.
+-   **N**: number of columns in `B`.
 -   **alpha**: scalar constant.
 -   **A**: input matrix `A`.
 -   **sa1**: stride of the first dimension of `A`.

lib/node_modules/@stdlib/blas/base/strmm/docs/repl.txt

@@ -1,9 +1,9 @@
 
 {{alias}}( ord, side, uplo, transa, diag, M, N, α, A, lda, B, ldb )
-    Performs one of the matrix-matrix operations `B = alpha * op(A) * B` or
-    `B = alpha * B * op(A)` where  alpha  is a scalar,  B  is an m by n matrix,
-    A  is a unit, or non-unit, upper or lower triangular matrix and op( A ) is
-    one of `op( A ) = A` or `op( A ) = A**T`.
+    Performs one of the matrix-matrix operations `B = α * op(A) * B` or
+    `B = α * B * op(A)` where α is a scalar, `B` is an `M` by `N` matrix, A is
+    a unit, or non-unit, upper or lower triangular matrix and `op( A )` is one
+    of `op( A ) = A` or `op( A ) = A**T`.
 
     Indexing is relative to the first index. To introduce an offset, use typed
     array views.
@@ -73,11 +73,10 @@
 
 
 {{alias}}.ndarray(side,uplo,transa,diag,M,N,α,A,sa1,sa2,oa,B,sb1,sb2,ob)
-    Performs one of the matrix-matrix operations `B = alpha * op(A) * B` or
-    `B = alpha * B * op(A)` where  alpha  is a scalar,  B  is an m by n matrix,
-    A  is a unit, or non-unit, upper or lower triangular matrix and op( A ) is
-    one of `op( A ) = A` or `op( A ) = A**T` using alternative indexing
-    semantics.
+    Performs one of the matrix-matrix operations `B = α * op(A) * B` or
+    `B = α * B * op(A)` where α is a scalar, `B` is an `M` by `N` matrix, A is
+    a unit, or non-unit, upper or lower triangular matrix and `op( A )` is one
+    of `op( A ) = A` or `op( A ) = A**T` using alternative indexing semantics.
 
     While typed array views mandate a view offset based on the underlying
     buffer, the offset parameters support indexing semantics based on starting

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

@@ -27,15 +27,15 @@ import { Layout, MatrixTriangle, DiagonalType, OperationSide, TransposeOperation
 */
 interface Routine {
 	/**
-	* Performs one of the matrix-matrix operations `B = alpha * op(A) * B` or `B = alpha * B * op(A)` where  alpha  is a scalar,  B  is an m by n matrix,  A  is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of `op( A ) = A` or `op( A ) = A**T`.
+	* Performs one of the matrix-matrix operations `B = α * op(A) * B` or `B = α * B * op(A)` where α is a scalar, `B` is an `M` by `N` matrix, A is a unit, or non-unit, upper or lower triangular matrix and `op( A )` is one of `op( A ) = A` or `op( A ) = A**T`.
 	*
 	* @param order - storage layout of `A` and `B`
 	* @param side - specifies whether `op( A )` multiplies `B` from the left or right
 	* @param uplo - specifies whether the upper or lower triangular part of the matrix `A` is supplied
 	* @param transa - specifies the form of `op( A )` to be used in matrix multiplication
 	* @param diag - specifies whether or not `A` is unit triangular
-	* @param m - number of rows in `B`
-	* @param n - number of columns in `B`
+	* @param M - number of rows in `B`
+	* @param N - number of columns in `B`
 	* @param alpha - scalar constant
 	* @param A - input matrix `A`
 	* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
@@ -52,17 +52,17 @@ interface Routine {
 	* strmm( 'row-major', 'left', 'lower', 'no-transpose', 'unit', 3, 3, 1.0, A, 3, B, 3 );
 	* // B => <Float32Array>[ 1.0, 2.0, 3.0, 6.0, 9.0, 12.0, 31.0, 41.0, 51.0 ]
 	*/
-	( order: Layout, side: OperationSide, uplo: MatrixTriangle, transa: TransposeOperation, diag: DiagonalType, m: number, n: number, alpha: number, A: Float32Array, LDA: number, B: Float32Array, LDB: number ): Float32Array;
+	( order: Layout, side: OperationSide, uplo: MatrixTriangle, transa: TransposeOperation, diag: DiagonalType, M: number, N: number, alpha: number, A: Float32Array, LDA: number, B: Float32Array, LDB: number ): Float32Array;
 
 	/**
-	* Performs one of the matrix-matrix operations `B = alpha * op(A) * B` or `B = alpha * B * op(A)` using alternative indexing semantics, where  alpha  is a scalar,  B  is an m by n matrix,  A  is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of `op( A ) = A` or `op( A ) = A**T`.
+	* Performs one of the matrix-matrix operations `B = α * op(A) * B` or `B = α * B * op(A)` using alternative indexing semantics, where α is a scalar, `B` is an `M` by `N` matrix, A is a unit, or non-unit, upper or lower triangular matrix and `op( A )` is one of `op( A ) = A` or `op( A ) = A**T`.
 	*
 	* @param side - specifies whether `op( A )` multiplies `B` from the left or right
 	* @param uplo - specifies whether the upper or lower triangular part of the matrix `A` is supplied
 	* @param transa - specifies the form of `op( A )` to be used in matrix multiplication
 	* @param diag - specifies whether or not `A` is unit triangular
-	* @param m - number of rows in `B`
-	* @param n - number of columns in `B`
+	* @param M - number of rows in `B`
+	* @param N - number of columns in `B`
 	* @param alpha - scalar constant
 	* @param A - input matrix `A`
 	* @param strideA1 - stride of the first dimension of `A`
@@ -83,19 +83,19 @@ interface Routine {
 	* strmm.ndarray( 'left', 'lower', 'no-transpose', 'unit', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0 );
 	* // B => <Float32Array>[ 1.0, 2.0, 3.0, 6.0, 9.0, 12.0, 31.0, 41.0, 51.0 ]
 	*/
-	ndarray( side: OperationSide, uplo: MatrixTriangle, transa: TransposeOperation, diag: DiagonalType, m: number, n: number, alpha: number, A: Float32Array, strideA1: number, strideA2: number, offsetA: number, B: Float32Array, strideB1: number, strideB2: number, offsetB: number ): Float32Array;
+	ndarray( side: OperationSide, uplo: MatrixTriangle, transa: TransposeOperation, diag: DiagonalType, M: number, N: number, alpha: number, A: Float32Array, strideA1: number, strideA2: number, offsetA: number, B: Float32Array, strideB1: number, strideB2: number, offsetB: number ): Float32Array;
 }
 
 /**
-* Performs one of the matrix-matrix operations `B = alpha * op(A) * B` or `B = alpha * B * op(A)` using alternative indexing semantics, where  alpha  is a scalar,  B  is an m by n matrix,  A  is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of `op( A ) = A` or `op( A ) = A**T`.
+* Performs one of the matrix-matrix operations `B = α * op(A) * B` or `B = α * B * op(A)` where α is a scalar, `B` is an `M` by `N` matrix, A is a unit, or non-unit, upper or lower triangular matrix and `op( A )` is one of `op( A ) = A` or `op( A ) = A**T`.
 *
 * @param order - storage layout of `A` and `B`
 * @param side - specifies whether `op( A )` multiplies `B` from the left or right
 * @param uplo - specifies whether the upper or lower triangular part of the matrix `A` is supplied
 * @param transa - specifies the form of `op( A )` to be used in matrix multiplication
 * @param diag - specifies whether or not `A` is unit triangular
-* @param m - number of rows in `B`
-* @param n - number of columns in `B`
+* @param M - number of rows in `B`
+* @param N - number of columns in `B`
 * @param alpha - scalar constant
 * @param A - input matrix `A`
 * @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)

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

@@ -94,7 +94,7 @@ function zeros( M, N, X, strideX1, strideX2, offsetX ) { // TODO: consider movin
 // MAIN //
 
 /**
-* Performs one of the matrix-matrix operations `B = alpha * op(A) * B` or `B = alpha * B * op(A)` where  alpha  is a scalar,  B  is an m by n matrix,  A  is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of `op( A ) = A` or `op( A ) = A**T`.
+* Performs one of the matrix-matrix operations `B = α * op(A) * B` or `B = α * B * op(A)` where α is a scalar, `B` is an `M` by `N` matrix, A is a unit, or non-unit, upper or lower triangular matrix and `op( A )` is one of `op( A ) = A` or `op( A ) = A**T`.
 *
 * @private
 * @param {string} side - specifies whether `op( A )` multiplies `B` from the left or right

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

@@ -19,7 +19,7 @@
 'use strict';
 
 /**
-* BLAS routine to perform one of the matrix-matrix operations `B = alpha * op(A) * B` or `B = alpha * B * op(A)` where  alpha  is a scalar,  B  is an m by n matrix,  A  is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of `op( A ) = A` or `op( A ) = A**T`.
+* BLAS routine to perform one of the matrix-matrix operations `B = α * op(A) * B` or `B = α * B * op(A)` where α is a scalar, `B` is an `M` by `N` matrix, A is a unit, or non-unit, upper or lower triangular matrix and `op( A )` is one of `op( A ) = A` or `op( A ) = A**T`.
 *
 * @module @stdlib/blas/base/strmm
 *

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

@@ -31,7 +31,7 @@ var base = require( './base.js' );
 // MAIN //
 
 /**
-* Performs one of the matrix-matrix operations `B = alpha * op(A) * B` or `B = alpha * B * op(A)` where  alpha  is a scalar,  B  is an m by n matrix,  A  is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of `op( A ) = A` or `op( A ) = A**T`.
+* Performs one of the matrix-matrix operations `B = α * op(A) * B` or `B = α * B * op(A)` where α is a scalar, `B` is an `M` by `N` matrix, A is a unit, or non-unit, upper or lower triangular matrix and `op( A )` is one of `op( A ) = A` or `op( A ) = A**T`.
 *
 * @param {string} side - specifies whether `op( A )` multiplies `B` from the left or right
 * @param {string} uplo - specifies whether the upper or lower triangular part of the matrix `A` is supplied

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

@@ -35,7 +35,7 @@ var base = require( './base.js' );
 // MAIN //
 
 /**
-* Performs one of the matrix-matrix operations `B = alpha * op(A) * B` or `B = alpha * B * op(A)` where  alpha  is a scalar,  B  is an m by n matrix,  A  is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of `op( A ) = A` or `op( A ) = A**T`.
+* Performs one of the matrix-matrix operations `B = α * op(A) * B` or `B = α * B * op(A)` where α is a scalar, `B` is an `M` by `N` matrix, A is a unit, or non-unit, upper or lower triangular matrix and `op( A )` is one of `op( A ) = A` or `op( A ) = A**T`.
 *
 * @param {string} order - storage layout of `A` and `B`
 * @param {string} side - specifies whether `op( A )` multiplies `B` from the left or right