Merge remote-tracking branch 'upstream/develop' into stats-strided-ztest2

Author: stdlib-bot

lib/node_modules/@stdlib/blas/base/caxpy/manifest.json

@@ -191,13 +191,16 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/blas/base/shared",
+        "@stdlib/blas/base/scabs1",
+        "@stdlib/strided/base/stride2offset",
         "@stdlib/napi/export",
-        "@stdlib/strided/base/min-view-buffer-index",
         "@stdlib/napi/argv",
         "@stdlib/napi/argv-int64",
         "@stdlib/napi/argv-strided-complex64array",
         "@stdlib/napi/argv-complex64",
-        "@stdlib/complex/float32/ctor"
+        "@stdlib/complex/float32/ctor",
+        "@stdlib/complex/float32/base/add",
+        "@stdlib/complex/float32/base/mul"
       ]
     },
     {
@@ -218,14 +221,9 @@
         "@stdlib/blas/base/shared",
         "@stdlib/blas/base/scabs1",
         "@stdlib/strided/base/stride2offset",
-        "@stdlib/napi/export",
-        "@stdlib/napi/argv",
-        "@stdlib/napi/argv-int64",
-        "@stdlib/napi/argv-strided-complex64array",
-        "@stdlib/napi/argv-complex64",
-        "@stdlib/complex/float32/ctor",
         "@stdlib/complex/float32/base/add",
-        "@stdlib/complex/float32/base/mul"
+        "@stdlib/complex/float32/base/mul",
+        "@stdlib/complex/float32/ctor"
       ]
     },
     {

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

@@ -57,9 +57,9 @@ The function has the following parameters:
 -   **M**: number of rows in the matrix `A`.
 -   **N**: number of columns in the matrix `A`.
 -   **α**: scalar constant.
--   **x**: input [`Float64Array`][mdn-float64array].
+-   **x**: an `M` element [`Float64Array`][mdn-float64array].
 -   **sx**: stride length for `x`.
--   **y**: output [`Float64Array`][mdn-float64array].
+-   **y**: an `N` element [`Float64Array`][mdn-float64array].
 -   **sy**: stride length for `y`.
 -   **A**: input matrix stored in linear memory as a [`Float64Array`][mdn-float64array].
 -   **lda**: stride of the first dimension of `A` (leading dimension of `A`).
@@ -208,7 +208,7 @@ console.log(A);
 
 #### c_dger( layout, M, N, alpha, \*X, strideX, \*Y, strideY, \*A, LDA )
 
-Performs the rank 1 operation `A = alpha*x*y^T + A`, where `alpha` is a scalar, `x` is an `M` element vector, `y` is an `N` element vector, and `A` is an `M`-by-`N` matrix.
+Performs the rank 1 operation `A = alpha*x*y^T + A`, where `alpha` is a scalar, `X` is an `M` element vector, `Y` is an `N` element vector, and `A` is an `M`-by-`N` matrix.
 
 ```c
 #include "stdlib/blas/base/shared.h"
@@ -244,7 +244,7 @@ void c_dger( const CBLAS_LAYOUT layout, const CBLAS_INT M, const CBLAS_INT N, co
 
 #### c_dger_ndarray( M, N, alpha, \*X, sx, ox, \*Y, sy, oy, \*A, sa1, sa2, oa )
 
-Performs the rank 1 operation `A = alpha*x*y^T + A`, using alternative indexing semantics and where `alpha` is a scalar, `x` is an `M` element vector, `y` is an `N` element vector, and `A` is an `M`-by-`N` matrix.
+Performs the rank 1 operation `A = alpha*x*y^T + A`, using alternative indexing semantics and where `alpha` is a scalar, `X` is an `M` element vector, `Y` is an `N` element vector, and `A` is an `M`-by-`N` matrix.
 
 ```c
 #include "stdlib/blas/base/shared.h"

lib/node_modules/@stdlib/blas/base/dger/lib/dger.native.js

@@ -33,7 +33,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Performs the rank 1 operation `A = α*x*y^T + A`, where `α` is a scalar, `x` is an `M` element vector, `y` is an `N` element vector, and `A` is an `M` by `N` matrix.
 *
-* @param {*} order - storage layout
+* @param {string} order - storage layout
 * @param {NonNegativeInteger} M - number of rows in the matrix `A`
 * @param {NonNegativeInteger} N - number of columns in the matrix `A`
 * @param {number} alpha - scalar constant

lib/node_modules/@stdlib/blas/base/dger/src/dger_ndarray.c

@@ -98,7 +98,7 @@
 * @param strideY    stride length for `Y`
 * @param offsetY    starting index for `Y`
 * @param A          matrix of coefficients
-* @param strideA1   stride length of the first dimnension of `A`
+* @param strideA1   stride length of the first dimension of `A`
 * @param strideA2   stride length of the second dimension of `A`
 * @param offsetA    starting index for `A`
 */