docs: update namespace table of contents

lib/node_modules/@stdlib/math/base/special/README.md

@@ -154,7 +154,7 @@ var fcns = special;
 -   <span class="signature">[`ceiln( x, n )`][@stdlib/math/base/special/ceiln]</span><span class="delimiter">: </span><span class="description">round a numeric value to the nearest multiple of 10^n toward positive infinity.</span>
 -   <span class="signature">[`ceilsd( x, n[, b] )`][@stdlib/math/base/special/ceilsd]</span><span class="delimiter">: </span><span class="description">round a numeric value to the nearest number toward positive infinity with N significant figures.</span>
 -   <span class="signature">[`cfloor( z )`][@stdlib/math/base/special/cfloor]</span><span class="delimiter">: </span><span class="description">round a double-precision complex floating-point number toward negative infinity.</span>
--   <span class="signature">[`cfloorn( [out,] re, im, n )`][@stdlib/math/base/special/cfloorn]</span><span class="delimiter">: </span><span class="description">round a complex number to the nearest multiple of `10^n` toward negative infinity.</span>
+-   <span class="signature">[`cfloorn( z, n )`][@stdlib/math/base/special/cfloorn]</span><span class="delimiter">: </span><span class="description">round each component of a double-precision complex floating-point number to the nearest multiple of `10^n` toward negative infinity.</span>
 -   <span class="signature">[`clamp( v, min, max )`][@stdlib/math/base/special/clamp]</span><span class="delimiter">: </span><span class="description">restrict a double-precision floating-point number to a specified range.</span>
 -   <span class="signature">[`clampf( v, min, max )`][@stdlib/math/base/special/clampf]</span><span class="delimiter">: </span><span class="description">restrict a single-precision floating-point number to a specified range.</span>
 -   <span class="signature">[`cround( z )`][@stdlib/math/base/special/cround]</span><span class="delimiter">: </span><span class="description">round each component of a double-precision complex floating-point number to the nearest integer.</span>
@@ -165,7 +165,7 @@ var fcns = special;
 -   <span class="signature">[`floor2( x )`][@stdlib/math/base/special/floor2]</span><span class="delimiter">: </span><span class="description">round a numeric value to the nearest power of two toward negative infinity.</span>
 -   <span class="signature">[`floorb( x, n, b )`][@stdlib/math/base/special/floorb]</span><span class="delimiter">: </span><span class="description">round a numeric value to the nearest multiple of b^n toward negative infinity.</span>
 -   <span class="signature">[`floorf( x )`][@stdlib/math/base/special/floorf]</span><span class="delimiter">: </span><span class="description">round a single-precision floating-point numeric value toward negative infinity.</span>
--   <span class="signature">[`floorn( x, n )`][@stdlib/math/base/special/floorn]</span><span class="delimiter">: </span><span class="description">round a numeric value to the nearest multiple of 10^n toward negative infinity.</span>
+-   <span class="signature">[`floorn( x, n )`][@stdlib/math/base/special/floorn]</span><span class="delimiter">: </span><span class="description">round a double-precision floating-point number to the nearest multiple of 10^n toward negative infinity.</span>
 -   <span class="signature">[`floorsd( x, n[, b] )`][@stdlib/math/base/special/floorsd]</span><span class="delimiter">: </span><span class="description">round a numeric value to the nearest number toward negative infinity with N significant figures.</span>
 -   <span class="signature">[`labs( x )`][@stdlib/math/base/special/labs]</span><span class="delimiter">: </span><span class="description">compute an absolute value of a signed 32-bit integer.</span>
 -   <span class="signature">[`maxabs( x, y )`][@stdlib/math/base/special/maxabs]</span><span class="delimiter">: </span><span class="description">return the maximum absolute value.</span>

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

@@ -59,6 +59,7 @@ The namespace contains the following sub-namespaces:
 <div class="namespace-toc">
 
 -   <span class="signature">[`base`][@stdlib/ndarray/base]</span><span class="delimiter">: </span><span class="description">base ndarray.</span>
+-   <span class="signature">[`iter`][@stdlib/ndarray/iter]</span><span class="delimiter">: </span><span class="description">multidimensional array iterators.</span>
 
 </div>
 
@@ -70,24 +71,41 @@ In addition, the namespace contains the following multidimensional array utility
 
 <div class="namespace-toc">
 
+-   <span class="signature">[`broadcastArray( x, shape )`][@stdlib/ndarray/broadcast-array]</span><span class="delimiter">: </span><span class="description">broadcast an ndarray to a specified shape.</span>
 -   <span class="signature">[`ndarrayCastingModes()`][@stdlib/ndarray/casting-modes]</span><span class="delimiter">: </span><span class="description">list of ndarray casting modes.</span>
+-   <span class="signature">[`ndarrayDataBuffer( x )`][@stdlib/ndarray/data-buffer]</span><span class="delimiter">: </span><span class="description">return the underlying data buffer of a provided ndarray.</span>
 -   <span class="signature">[`defaults()`][@stdlib/ndarray/defaults]</span><span class="delimiter">: </span><span class="description">default ndarray settings.</span>
 -   <span class="signature">[`dispatch( fcns, types, data, nargs, nin, nout )`][@stdlib/ndarray/dispatch]</span><span class="delimiter">: </span><span class="description">create an ndarray function interface which performs multiple dispatch.</span>
+-   <span class="signature">[`ndarrayDataType( x )`][@stdlib/ndarray/dtype]</span><span class="delimiter">: </span><span class="description">return the data type of a provided ndarray.</span>
 -   <span class="signature">[`ndarrayDataTypes( [kind] )`][@stdlib/ndarray/dtypes]</span><span class="delimiter">: </span><span class="description">list of ndarray data types.</span>
 -   <span class="signature">[`ndemptyLike( x[, options] )`][@stdlib/ndarray/empty-like]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`ndempty( shape[, options] )`][@stdlib/ndarray/empty]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having a specified shape and data type.</span>
+-   <span class="signature">[`FancyArray( dtype, buffer, shape, strides, offset, order[, options] )`][@stdlib/ndarray/fancy]</span><span class="delimiter">: </span><span class="description">fancy multidimensional array constructor.</span>
 -   <span class="signature">[`scalar2ndarray( value[, options] )`][@stdlib/ndarray/from-scalar]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray.</span>
 -   <span class="signature">[`ind2sub( shape, idx[, options] )`][@stdlib/ndarray/ind2sub]</span><span class="delimiter">: </span><span class="description">convert a linear index to an array of subscripts.</span>
 -   <span class="signature">[`ndarrayIndexModes()`][@stdlib/ndarray/index-modes]</span><span class="delimiter">: </span><span class="description">list of ndarray index modes.</span>
+-   <span class="signature">[`maybeBroadcastArray( x, shape )`][@stdlib/ndarray/maybe-broadcast-array]</span><span class="delimiter">: </span><span class="description">broadcast an ndarray to a specified shape if and only if the specified shape differs from the provided ndarray's shape.</span>
 -   <span class="signature">[`ndarrayMinDataType( value )`][@stdlib/ndarray/min-dtype]</span><span class="delimiter">: </span><span class="description">determine the minimum ndarray data type of the closest "kind" necessary for storing a provided scalar value.</span>
+-   <span class="signature">[`ndarrayMostlySafeCasts( [dtype] )`][@stdlib/ndarray/mostly-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 and, for floating-point data types, can be downcast.</span>
+-   <span class="signature">[`ndims( x )`][@stdlib/ndarray/ndims]</span><span class="delimiter">: </span><span class="description">return the number of ndarray dimensions.</span>
 -   <span class="signature">[`ndarrayNextDataType( [dtype] )`][@stdlib/ndarray/next-dtype]</span><span class="delimiter">: </span><span class="description">return the next larger ndarray data type of the same kind.</span>
+-   <span class="signature">[`numel( x )`][@stdlib/ndarray/numel]</span><span class="delimiter">: </span><span class="description">return the number of elements in an ndarray.</span>
+-   <span class="signature">[`ndarrayOffset( x )`][@stdlib/ndarray/offset]</span><span class="delimiter">: </span><span class="description">return the index offset specifying the underlying buffer index of the first iterated ndarray element.</span>
+-   <span class="signature">[`ndarrayOrder( x )`][@stdlib/ndarray/order]</span><span class="delimiter">: </span><span class="description">return the layout order of a provided ndarray.</span>
 -   <span class="signature">[`ndarrayOrders()`][@stdlib/ndarray/orders]</span><span class="delimiter">: </span><span class="description">list of ndarray orders.</span>
 -   <span class="signature">[`ndarrayOutputDataTypePolicies()`][@stdlib/ndarray/output-dtype-policies]</span><span class="delimiter">: </span><span class="description">list of output ndarray data type policies.</span>
 -   <span class="signature">[`ndarrayPromotionRules( [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">[`ndarraySafeCasts( [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>
 -   <span class="signature">[`ndarraySameKindCasts( [dtype] )`][@stdlib/ndarray/same-kind-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 or cast within the same "kind".</span>
+-   <span class="signature">[`ndarrayShape( x )`][@stdlib/ndarray/shape]</span><span class="delimiter">: </span><span class="description">return the shape of a provided ndarray.</span>
+-   <span class="signature">[`ndsliceAssign( x, y, ...s[, options] )`][@stdlib/ndarray/slice-assign]</span><span class="delimiter">: </span><span class="description">assign element values from a broadcasted input `ndarray` to corresponding elements in an output `ndarray` view.</span>
+-   <span class="signature">[`ndsliceDimensionFrom( x, dim, start[, options] )`][@stdlib/ndarray/slice-dimension-from]</span><span class="delimiter">: </span><span class="description">return a read-only shifted view of an input `ndarray` along a specified dimension.</span>
+-   <span class="signature">[`ndsliceDimensionTo( x, dim, stop[, options] )`][@stdlib/ndarray/slice-dimension-to]</span><span class="delimiter">: </span><span class="description">return a read-only truncated view of an input `ndarray` along a specified dimension.</span>
+-   <span class="signature">[`ndsliceDimension( x, dim, slice[, options] )`][@stdlib/ndarray/slice-dimension]</span><span class="delimiter">: </span><span class="description">return a read-only view of an input `ndarray` when sliced along a specified dimension.</span>
+-   <span class="signature">[`ndslice( x, ...s[, options] )`][@stdlib/ndarray/slice]</span><span class="delimiter">: </span><span class="description">return a read-only view of an input `ndarray`.</span>
+-   <span class="signature">[`ndarrayStrides( x )`][@stdlib/ndarray/strides]</span><span class="delimiter">: </span><span class="description">return the strides of a provided ndarray.</span>
 -   <span class="signature">[`sub2ind( shape, ...subscripts[, options] )`][@stdlib/ndarray/sub2ind]</span><span class="delimiter">: </span><span class="description">convert subscripts to a linear index.</span>
--   <span class="signature">[`ndarray2array( arr )`][@stdlib/ndarray/to-array]</span><span class="delimiter">: </span><span class="description">convert an ndarray to a generic array.</span>
+-   <span class="signature">[`ndarray2array( x )`][@stdlib/ndarray/to-array]</span><span class="delimiter">: </span><span class="description">convert an ndarray to a generic array.</span>
 -   <span class="signature">[`ndzerosLike( x[, options] )`][@stdlib/ndarray/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>
 -   <span class="signature">[`ndzeros( shape[, options] )`][@stdlib/ndarray/zeros]</span><span class="delimiter">: </span><span class="description">create a zero-filled ndarray having a specified shape and data type.</span>
 
@@ -132,28 +150,48 @@ console.log( objectKeys( ns ) );
 
 <!-- <toc-links> -->
 
+[@stdlib/ndarray/broadcast-array]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/broadcast-array
+
 [@stdlib/ndarray/casting-modes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/casting-modes
 
+[@stdlib/ndarray/data-buffer]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/data-buffer
+
 [@stdlib/ndarray/defaults]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/defaults
 
 [@stdlib/ndarray/dispatch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dispatch
 
+[@stdlib/ndarray/dtype]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dtype
+
 [@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dtypes
 
 [@stdlib/ndarray/empty-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/empty-like
 
 [@stdlib/ndarray/empty]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/empty
 
+[@stdlib/ndarray/fancy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/fancy
+
 [@stdlib/ndarray/from-scalar]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/from-scalar
 
 [@stdlib/ndarray/ind2sub]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ind2sub
 
 [@stdlib/ndarray/index-modes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/index-modes
 
+[@stdlib/ndarray/maybe-broadcast-array]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/maybe-broadcast-array
+
 [@stdlib/ndarray/min-dtype]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/min-dtype
 
+[@stdlib/ndarray/mostly-safe-casts]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/mostly-safe-casts
+
+[@stdlib/ndarray/ndims]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ndims
+
 [@stdlib/ndarray/next-dtype]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/next-dtype
 
+[@stdlib/ndarray/numel]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/numel
+
+[@stdlib/ndarray/offset]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/offset
+
+[@stdlib/ndarray/order]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/order
+
 [@stdlib/ndarray/orders]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/orders
 
 [@stdlib/ndarray/output-dtype-policies]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/output-dtype-policies
@@ -164,6 +202,20 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/same-kind-casts]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/same-kind-casts
 
+[@stdlib/ndarray/shape]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/shape
+
+[@stdlib/ndarray/slice-assign]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/slice-assign
+
+[@stdlib/ndarray/slice-dimension-from]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/slice-dimension-from
+
+[@stdlib/ndarray/slice-dimension-to]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/slice-dimension-to
+
+[@stdlib/ndarray/slice-dimension]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/slice-dimension
+
+[@stdlib/ndarray/slice]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/slice
+
+[@stdlib/ndarray/strides]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/strides
+
 [@stdlib/ndarray/sub2ind]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/sub2ind
 
 [@stdlib/ndarray/to-array]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/to-array
@@ -174,6 +226,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base
 
+[@stdlib/ndarray/iter]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/iter
+
 [@stdlib/ndarray/array]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/array
 
 [@stdlib/ndarray/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ctor