docs: update namespace table of contents

PR-URL: #11448
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: stdlib-bot

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

@@ -49,6 +49,7 @@ The namespace exposes the following APIs:
 -   <span class="signature">[`daxpy( arrays )`][@stdlib/blas/base/ndarray/daxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional double-precision floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional double-precision floating-point ndarray `y`.</span>
 -   <span class="signature">[`ddot( arrays )`][@stdlib/blas/base/ndarray/ddot]</span><span class="delimiter">: </span><span class="description">calculate the dot product of two one-dimensional double-precision floating-point ndarrays.</span>
 -   <span class="signature">[`gasum( arrays )`][@stdlib/blas/base/ndarray/gasum]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values for all elements in a one-dimensional ndarray.</span>
+-   <span class="signature">[`gaxpy( arrays )`][@stdlib/blas/base/ndarray/gaxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional ndarray `x` by a constant `alpha` and add the result to a one-dimensional ndarray `y`.</span>
 -   <span class="signature">[`gdot( arrays )`][@stdlib/blas/base/ndarray/gdot]</span><span class="delimiter">: </span><span class="description">calculate the dot product of two one-dimensional ndarrays.</span>
 -   <span class="signature">[`sasum( arrays )`][@stdlib/blas/base/ndarray/sasum]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values for all elements in a one-dimensional single-precision floating-point ndarray.</span>
 -   <span class="signature">[`saxpy( arrays )`][@stdlib/blas/base/ndarray/saxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional single-precision floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional single-precision floating-point ndarray `y`.</span>
@@ -103,6 +104,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/base/ndarray/gasum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/gasum
 
+[@stdlib/blas/base/ndarray/gaxpy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/gaxpy
+
 [@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/sasum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/sasum

lib/node_modules/@stdlib/ndarray/README.md

@@ -138,6 +138,7 @@ In addition, the namespace contains the following multidimensional array utility
 -   <span class="signature">[`promotionRules( [dtype1, dtype2] )`][@stdlib/ndarray/promotion-rules]</span><span class="delimiter">: </span><span class="description">return the ndarray data type with the smallest size and closest "kind" to which ndarray data types can be **safely** cast.</span>
 -   <span class="signature">[`push( x, ...values )`][@stdlib/ndarray/push]</span><span class="delimiter">: </span><span class="description">return a one-dimensional ndarray formed by appending provided scalar values to a one-dimensional input ndarray.</span>
 -   <span class="signature">[`reject( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/reject]</span><span class="delimiter">: </span><span class="description">return a shallow copy of an ndarray containing only those elements which fail a test implemented by a predicate function.</span>
+-   <span class="signature">[`removeSingletonDimensions( x )`][@stdlib/ndarray/remove-singleton-dimensions]</span><span class="delimiter">: </span><span class="description">return a read-only view of an input ndarray with singleton dimensions removed.</span>
 -   <span class="signature">[`reverseDimension( x, dim )`][@stdlib/ndarray/reverse-dimension]</span><span class="delimiter">: </span><span class="description">return a **read-only** view of an input `ndarray` in which the order of elements along a specified dimension is reversed.</span>
 -   <span class="signature">[`reverse( x )`][@stdlib/ndarray/reverse]</span><span class="delimiter">: </span><span class="description">return a **read-only** view of an input `ndarray` in which the order of elements along each dimension is reversed.</span>
 -   <span class="signature">[`safeCasts( [dtype] )`][@stdlib/ndarray/safe-casts]</span><span class="delimiter">: </span><span class="description">return a list of ndarray data types to which a provided ndarray data type can be safely cast.</span>
@@ -347,6 +348,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/reject]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/reject
 
+[@stdlib/ndarray/remove-singleton-dimensions]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/remove-singleton-dimensions
+
 [@stdlib/ndarray/reverse-dimension]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/reverse-dimension
 
 [@stdlib/ndarray/reverse]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/reverse

lib/node_modules/@stdlib/ndarray/base/README.md

@@ -111,6 +111,7 @@ var o = ns;
 -   <span class="signature">[`array2ndarray( buf, order )`][@stdlib/ndarray/base/from-array]</span><span class="delimiter">: </span><span class="description">convert an array to a one-dimensional ndarray.</span>
 -   <span class="signature">[`scalar2ndarrayLike( x, value )`][@stdlib/ndarray/base/from-scalar-like]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray having the same data type as a provided ndarray.</span>
 -   <span class="signature">[`scalar2ndarray( value, dtype, order )`][@stdlib/ndarray/base/from-scalar]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray.</span>
+-   <span class="signature">[`fullBy( dtype, shape, order, clbk[, thisArg] )`][@stdlib/ndarray/base/full-by]</span><span class="delimiter">: </span><span class="description">create an ndarray filled according to a callback function and having a specified shape and data type.</span>
 -   <span class="signature">[`full( value, dtype, shape, order )`][@stdlib/ndarray/base/full]</span><span class="delimiter">: </span><span class="description">create an ndarray filled with a specified value and having a specified shape and data type.</span>
 -   <span class="signature">[`includes( arrays )`][@stdlib/ndarray/base/includes]</span><span class="delimiter">: </span><span class="description">test whether an ndarray contains a specified value.</span>
 -   <span class="signature">[`ind( idx, max, mode )`][@stdlib/ndarray/base/ind]</span><span class="delimiter">: </span><span class="description">return an index given an index mode.</span>
@@ -220,6 +221,7 @@ var o = ns;
 -   <span class="signature">[`unaryBlockSize( dtypeX, dtypeY )`][@stdlib/ndarray/base/unary-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">[`unary( arrays, fcn )`][@stdlib/ndarray/base/unary]</span><span class="delimiter">: </span><span class="description">apply a unary callback to elements in an input ndarray and assign results to elements in an output ndarray.</span>
 -   <span class="signature">[`unflattenShape( shape, dim, sizes )`][@stdlib/ndarray/base/unflatten-shape]</span><span class="delimiter">: </span><span class="description">expand a dimension over multiple dimensions.</span>
+-   <span class="signature">[`unflatten( x, dim, sizes, writable )`][@stdlib/ndarray/base/unflatten]</span><span class="delimiter">: </span><span class="description">return a view of an input ndarray in which a specified dimension is expanded over multiple dimensions.</span>
 -   <span class="signature">[`vind2bind( shape, strides, offset, order, idx, mode )`][@stdlib/ndarray/base/vind2bind]</span><span class="delimiter">: </span><span class="description">convert a linear index in an array view to a linear index in an underlying data buffer.</span>
 -   <span class="signature">[`wrapIndex( idx, max )`][@stdlib/ndarray/base/wrap-index]</span><span class="delimiter">: </span><span class="description">wrap an index on the interval `[0,max]`.</span>
 -   <span class="signature">[`zerosLike( x )`][@stdlib/ndarray/base/zeros-like]</span><span class="delimiter">: </span><span class="description">create a zero-filled ndarray having the same shape and data type as a provided ndarray.</span>
@@ -417,6 +419,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/from-scalar]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/from-scalar
 
+[@stdlib/ndarray/base/full-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/full-by
+
 [@stdlib/ndarray/base/full]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/full
 
 [@stdlib/ndarray/base/includes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/includes
@@ -635,6 +639,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/unflatten-shape]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unflatten-shape
 
+[@stdlib/ndarray/base/unflatten]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unflatten
+
 [@stdlib/ndarray/base/vind2bind]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/vind2bind
 
 [@stdlib/ndarray/base/wrap-index]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/wrap-index

lib/node_modules/@stdlib/stats/strided/README.md

@@ -248,6 +248,7 @@ The namespace exports the following:
 -   <span class="signature">[`smskmidrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/smskmidrange]</span><span class="delimiter">: </span><span class="description">calculate the mid-range of a single-precision floating-point strided array according to a mask.</span>
 -   <span class="signature">[`smskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/smskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array according to a mask.</span>
 -   <span class="signature">[`smskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/smskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array according to a mask.</span>
+-   <span class="signature">[`snancount( N, x, strideX )`][@stdlib/stats/strided/snancount]</span><span class="delimiter">: </span><span class="description">calculate the number of non-`NaN` elements in a single-precision floating-point strided array.</span>
 -   <span class="signature">[`snanmax( N, x, strideX )`][@stdlib/stats/strided/snanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`snanmaxabs( N, x, strideX )`][@stdlib/stats/strided/snanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`snanmean( N, x, strideX )`][@stdlib/stats/strided/snanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.</span>
@@ -732,6 +733,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/strided/smskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smskrange
 
+[@stdlib/stats/strided/snancount]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snancount
+
 [@stdlib/stats/strided/snanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmax
 
 [@stdlib/stats/strided/snanmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmaxabs