diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md
index 788b08df9304..9271c940d75a 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md
@@ -45,6 +45,7 @@ The namespace exposes the following APIs:
 
 <div class="namespace-toc">
 
+-   <span class="signature">[`cindexOf( arrays )`][@stdlib/blas/ext/base/ndarray/cindex-of]</span><span class="delimiter">: </span><span class="description">return the first index of a search element in a one-dimensional single-precision complex floating-point ndarray.</span>
 -   <span class="signature">[`coneTo( arrays )`][@stdlib/blas/ext/base/ndarray/cone-to]</span><span class="delimiter">: </span><span class="description">fill a one-dimensional single-precision complex floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from one.</span>
 -   <span class="signature">[`csum( arrays )`][@stdlib/blas/ext/base/ndarray/csum]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional single-precision complex floating-point ndarray.</span>
 -   <span class="signature">[`csumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/csumkbn]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional single-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm.</span>
@@ -127,6 +128,7 @@ The namespace exposes the following APIs:
 -   <span class="signature">[`ssumpw( arrays )`][@stdlib/blas/ext/base/ndarray/ssumpw]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using pairwise summation.</span>
 -   <span class="signature">[`sunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/sunitspace]</span><span class="delimiter">: </span><span class="description">fill a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
 -   <span class="signature">[`szeroTo( arrays )`][@stdlib/blas/ext/base/ndarray/szero-to]</span><span class="delimiter">: </span><span class="description">fill a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from zero.</span>
+-   <span class="signature">[`zindexOf( arrays )`][@stdlib/blas/ext/base/ndarray/zindex-of]</span><span class="delimiter">: </span><span class="description">return the first index of a search element in a one-dimensional double-precision complex floating-point ndarray.</span>
 -   <span class="signature">[`zoneTo( arrays )`][@stdlib/blas/ext/base/ndarray/zone-to]</span><span class="delimiter">: </span><span class="description">fill a one-dimensional double-precision complex floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from one.</span>
 -   <span class="signature">[`zsum( arrays )`][@stdlib/blas/ext/base/ndarray/zsum]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray.</span>
 -   <span class="signature">[`zsumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/zsumkbn]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray using an improved Kahan–Babuška algorithm.</span>
@@ -174,6 +176,8 @@ console.log( objectKeys( ns ) );
 
 <!-- <toc-links> -->
 
+[@stdlib/blas/ext/base/ndarray/cindex-of]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/cindex-of
+
 [@stdlib/blas/ext/base/ndarray/cone-to]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/cone-to
 
 [@stdlib/blas/ext/base/ndarray/csum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/csum
@@ -338,6 +342,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/ext/base/ndarray/szero-to]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/szero-to
 
+[@stdlib/blas/ext/base/ndarray/zindex-of]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/zindex-of
+
 [@stdlib/blas/ext/base/ndarray/zone-to]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/zone-to
 
 [@stdlib/blas/ext/base/ndarray/zsum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/zsum
diff --git a/lib/node_modules/@stdlib/ndarray/base/README.md b/lib/node_modules/@stdlib/ndarray/base/README.md
index 3587ec69a56e..866cdaa074d7 100644
--- a/lib/node_modules/@stdlib/ndarray/base/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/README.md
@@ -105,6 +105,7 @@ var o = ns;
 -   <span class="signature">[`everyBy( arrays, predicate[, thisArg] )`][@stdlib/ndarray/base/every-by]</span><span class="delimiter">: </span><span class="description">test whether all elements in an ndarray pass a test implemented by a predicate function.</span>
 -   <span class="signature">[`every( arrays )`][@stdlib/ndarray/base/every]</span><span class="delimiter">: </span><span class="description">test whether every element in an ndarray is truthy.</span>
 -   <span class="signature">[`expandDimensions( x, dim, writable )`][@stdlib/ndarray/base/expand-dimensions]</span><span class="delimiter">: </span><span class="description">expand the shape of an array by inserting a new dimension of size one at a specified dimension index.</span>
+-   <span class="signature">[`falsesLike( x )`][@stdlib/ndarray/base/falses-like]</span><span class="delimiter">: </span><span class="description">create an ndarray filled with `false` values and having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`falses( dtype, shape, order )`][@stdlib/ndarray/base/falses]</span><span class="delimiter">: </span><span class="description">create an ndarray filled with `false` values and having a specified shape and data type.</span>
 -   <span class="signature">[`fillBy( x, fcn[, thisArg] )`][@stdlib/ndarray/base/fill-by]</span><span class="delimiter">: </span><span class="description">fill an input ndarray according to a callback function.</span>
 -   <span class="signature">[`fillDiagonal( x, value, dims, k )`][@stdlib/ndarray/base/fill-diagonal]</span><span class="delimiter">: </span><span class="description">fill a specified diagonal of a matrix (or stack of matrices) with a scalar value.</span>
@@ -153,6 +154,7 @@ var o = ns;
 -   <span class="signature">[`nullaryStrided1d( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/nullary-strided1d]</span><span class="delimiter">: </span><span class="description">apply a one-dimensional strided array function to a list of specified dimensions in an ndarray.</span>
 -   <span class="signature">[`nullaryBlockSize( dtypeX )`][@stdlib/ndarray/base/nullary-tiling-block-size]</span><span class="delimiter">: </span><span class="description">resolve a loop block size for multi-dimensional array tiled loops.</span>
 -   <span class="signature">[`nullary( arrays, fcn )`][@stdlib/ndarray/base/nullary]</span><span class="delimiter">: </span><span class="description">apply a nullary callback and assign results to elements in an output ndarray.</span>
+-   <span class="signature">[`nullsLike( x )`][@stdlib/ndarray/base/nulls-like]</span><span class="delimiter">: </span><span class="description">create a null-filled ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`nulls( dtype, shape, order )`][@stdlib/ndarray/base/nulls]</span><span class="delimiter">: </span><span class="description">create a null-filled ndarray having a specified shape and data type.</span>
 -   <span class="signature">[`numelDimension( x, dim )`][@stdlib/ndarray/base/numel-dimension]</span><span class="delimiter">: </span><span class="description">return the size (i.e., number of elements) of a specified dimension for a provided ndarray.</span>
 -   <span class="signature">[`numel( shape )`][@stdlib/ndarray/base/numel]</span><span class="delimiter">: </span><span class="description">return the number of elements in an array.</span>
@@ -226,6 +228,7 @@ var o = ns;
 -   <span class="signature">[`toUnflattened( x, dim, sizes )`][@stdlib/ndarray/base/to-unflattened]</span><span class="delimiter">: </span><span class="description">return a new ndarray in which a specified dimension of an input ndarray is expanded over multiple dimensions.</span>
 -   <span class="signature">[`toUniqueNormalizedIndices( indices, max )`][@stdlib/ndarray/base/to-unique-normalized-indices]</span><span class="delimiter">: </span><span class="description">return a list of unique indices after normalizing to the interval `[0,max]`.</span>
 -   <span class="signature">[`transpose( x, writable )`][@stdlib/ndarray/base/transpose]</span><span class="delimiter">: </span><span class="description">transpose a matrix (or a stack of matrices).</span>
+-   <span class="signature">[`truesLike( x )`][@stdlib/ndarray/base/trues-like]</span><span class="delimiter">: </span><span class="description">create an ndarray filled with `true` values and having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`trues( dtype, shape, order )`][@stdlib/ndarray/base/trues]</span><span class="delimiter">: </span><span class="description">create an ndarray filled with `true` values and having a specified shape and data type.</span>
 -   <span class="signature">[`unaryAccumulate( arrays, initial, clbk )`][@stdlib/ndarray/base/unary-accumulate]</span><span class="delimiter">: </span><span class="description">perform a reduction over elements in an input ndarray.</span>
 -   <span class="signature">[`unaryAddonDispatch( addon, fallback )`][@stdlib/ndarray/base/unary-addon-dispatch]</span><span class="delimiter">: </span><span class="description">dispatch to a native add-on applying a unary function to an input ndarray.</span>
@@ -434,6 +437,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/expand-dimensions]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/expand-dimensions
 
+[@stdlib/ndarray/base/falses-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/falses-like
+
 [@stdlib/ndarray/base/falses]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/falses
 
 [@stdlib/ndarray/base/fill-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/fill-by
@@ -530,6 +535,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/nullary]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/nullary
 
+[@stdlib/ndarray/base/nulls-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/nulls-like
+
 [@stdlib/ndarray/base/nulls]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/nulls
 
 [@stdlib/ndarray/base/numel-dimension]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/numel-dimension
@@ -676,6 +683,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/transpose]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/transpose
 
+[@stdlib/ndarray/base/trues-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/trues-like
+
 [@stdlib/ndarray/base/trues]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/trues
 
 [@stdlib/ndarray/base/unary-accumulate]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-accumulate