diff --git a/lib/node_modules/@stdlib/array/README.md b/lib/node_modules/@stdlib/array/README.md
index 5bb8e9bc5fd6..837abb8fdb58 100644
--- a/lib/node_modules/@stdlib/array/README.md
+++ b/lib/node_modules/@stdlib/array/README.md
@@ -191,6 +191,7 @@ Lastly, the namespace contains various other functions for dealing with arrays,
- [`nansLike( x[, dtype] )`][@stdlib/array/nans-like]: create an array filled with NaNs and having the same length and data type as a provided array.
- [`nans( length[, dtype] )`][@stdlib/array/nans]: create an array filled with NaNs and having a specified length.
- [`nextDataType( [dtype] )`][@stdlib/array/next-dtype]: return the next larger array data type of the same kind.
+- [`nulls( length[, dtype] )`][@stdlib/array/nulls]: create an array filled with nulls and having a specified length.
- [`oneToLike( x[, dtype] )`][@stdlib/array/one-to-like]: generate a linearly spaced numeric array whose elements increment by `1` starting from one and having the same length and data type as a provided input array.
- [`oneTo( n[, dtype] )`][@stdlib/array/one-to]: generate a linearly spaced numeric array whose elements increment by `1` starting from one.
- [`onesLike( x[, dtype] )`][@stdlib/array/ones-like]: create an array filled with ones and having the same length and data type as a provided array.
@@ -333,6 +334,8 @@ console.log( objectKeys( ns ) );
[@stdlib/array/next-dtype]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/next-dtype
+[@stdlib/array/nulls]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/nulls
+
[@stdlib/array/one-to-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/one-to-like
[@stdlib/array/one-to]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/one-to
diff --git a/lib/node_modules/@stdlib/array/base/README.md b/lib/node_modules/@stdlib/array/base/README.md
index 7eca083461bf..849016168020 100644
--- a/lib/node_modules/@stdlib/array/base/README.md
+++ b/lib/node_modules/@stdlib/array/base/README.md
@@ -124,6 +124,7 @@ The namespace exports the following:
- [`everyByRight( x, predicate[, thisArg] )`][@stdlib/array/base/every-by-right]: test whether all elements in an array pass a test implemented by a predicate function, iterating from right to left.
- [`everyBy( x, predicate[, thisArg] )`][@stdlib/array/base/every-by]: test whether all elements in an array pass a test implemented by a predicate function.
- [`every( x )`][@stdlib/array/base/every]: test whether all elements in an array are truthy.
+- [`falses( len )`][@stdlib/array/base/falses]: create a "generic" array filled with `false` values.
- [`fancySliceAssign( x, y, s, strict )`][@stdlib/array/base/fancy-slice-assign]: assign element values from a broadcasted input array to corresponding elements in an output array.
- [`fancySlice( x, s, strict )`][@stdlib/array/base/fancy-slice]: return a shallow copy of a portion of an array.
- [`fillBy( x, start, end, fcn[, thisArg] )`][@stdlib/array/base/fill-by]: fill all elements within a portion of an array according to a callback function.
@@ -260,6 +261,7 @@ The namespace exports the following:
- [`toDeduped( x, limit, equalNaNs )`][@stdlib/array/base/to-deduped]: copy elements to a new "generic" array after removing consecutive duplicated values.
- [`toInsertedAt( x, index, value )`][@stdlib/array/base/to-inserted-at]: return a new array containing every element from an input array and with a provided value inserted at a specified index.
- [`toReversed( x )`][@stdlib/array/base/to-reversed]: return a new array with elements in reverse order.
+- [`trues( len )`][@stdlib/array/base/trues]: create a "generic" array filled with `true` values.
- [`unary2dBy( arrays, shape, fcn, clbk[, thisArg] )`][@stdlib/array/base/unary2d-by]: apply a unary function to each element retrieved from a two-dimensional nested input array according to a callback function and assign results to elements in a two-dimensional nested output array.
- [`unary2d( arrays, shape, fcn )`][@stdlib/array/base/unary2d]: apply a unary callback to elements in a two-dimensional nested input array and assign results to elements in a two-dimensional nested output array.
- [`unary3dBy( arrays, shape, fcn, clbk[, thisArg] )`][@stdlib/array/base/unary3d-by]: apply a unary function to each element retrieved from a three-dimensional nested input array according to a callback function and assign results to elements in a three-dimensional nested output array.
@@ -500,6 +502,8 @@ var squared = ns.map2d( arr2d, [ 2, 3 ], randu );
[@stdlib/array/base/every]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/every
+[@stdlib/array/base/falses]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/falses
+
[@stdlib/array/base/fancy-slice-assign]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/fancy-slice-assign
[@stdlib/array/base/fancy-slice]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/fancy-slice
@@ -772,6 +776,8 @@ var squared = ns.map2d( arr2d, [ 2, 3 ], randu );
[@stdlib/array/base/to-reversed]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/to-reversed
+[@stdlib/array/base/trues]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/trues
+
[@stdlib/array/base/unary2d-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/unary2d-by
[@stdlib/array/base/unary2d]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/unary2d
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/README.md
index eb3fc1d97411..003e827806bb 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/README.md
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/README.md
@@ -45,6 +45,11 @@ The namespace exposes the following APIs:
+- [`dasum( arrays )`][@stdlib/blas/base/ndarray/dasum]: calculate the sum of absolute values for all elements in a one-dimensional double-precision floating-point ndarray.
+- [`ddot( arrays )`][@stdlib/blas/base/ndarray/ddot]: calculate the dot product of two one-dimensional double-precision floating-point ndarrays.
+- [`gdot( arrays )`][@stdlib/blas/base/ndarray/gdot]: calculate the dot product of two one-dimensional ndarrays.
+- [`sdot( arrays )`][@stdlib/blas/base/ndarray/sdot]: calculate the dot product of two one-dimensional single-precision floating-point ndarrays.
+
@@ -86,6 +91,14 @@ console.log( objectKeys( ns ) );
+[@stdlib/blas/base/ndarray/dasum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/dasum
+
+[@stdlib/blas/base/ndarray/ddot]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/ddot
+
+[@stdlib/blas/base/ndarray/gdot]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/gdot
+
+[@stdlib/blas/base/ndarray/sdot]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/sdot
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/README.md b/lib/node_modules/@stdlib/blas/ext/base/README.md
index 506869344908..21416e59570e 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/README.md
@@ -150,6 +150,7 @@ var o = ns;
- [`gsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn2]: calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.
- [`gsumors( N, x, strideX )`][@stdlib/blas/ext/base/gsumors]: calculate the sum of strided array elements using ordinary recursive summation.
- [`gsumpw( N, x, strideX )`][@stdlib/blas/ext/base/gsumpw]: calculate the sum of strided array elements using pairwise summation.
+- [`gzeroTo( N, x, strideX )`][@stdlib/blas/ext/base/gzero-to]: fill a strided array with linearly spaced numeric elements which increment by `1` starting from zero.
- [`ndarray`][@stdlib/blas/ext/base/ndarray]: base ndarray extended BLAS functions.
- [`sapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapx]: add a scalar constant to each element in a single-precision floating-point strided array.
- [`sapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsum]: add a scalar constant to each single-precision floating-point strided array element and compute the sum.
@@ -460,6 +461,8 @@ console.log( objectKeys( ns ) );
[@stdlib/blas/ext/base/gsumpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gsumpw
+[@stdlib/blas/ext/base/gzero-to]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gzero-to
+
[@stdlib/blas/ext/base/ndarray]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray
[@stdlib/blas/ext/base/sapx]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/sapx