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CHANGELOG.md

@@ -363,6 +363,7 @@ A total of 3 people contributed to this release. Thank you to the following cont
 
 <details>
 
+-   [`ef82c21`](https://github.com/stdlib-js/stdlib/commit/ef82c2133cc2cb955eb1fc73da0209eda97de59a) - **docs:** update namespace table of contents [(#3918)](https://github.com/stdlib-js/stdlib/pull/3918) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`14427c7`](https://github.com/stdlib-js/stdlib/commit/14427c79bc62f82b16cbadc9d34749901e48d105) - **feat:** add `fill`, `map`, and `toReversed` to namespace _(by Athan Reines)_
 -   [`a0d6619`](https://github.com/stdlib-js/stdlib/commit/a0d66193409576538d0f16aa89cbaeedec7898be) - **feat:** add `minSignedIntegerDataType` and `minUnsignedIntegerDataType` to namespace _(by Athan Reines)_
 -   [`97e8c1a`](https://github.com/stdlib-js/stdlib/commit/97e8c1aff4f7c1a3b0946d15354a926d82e2120a) - **feat:** add `ndarray/base/min-unsigned-integer-dtype` _(by Athan Reines)_

README.md

@@ -116,11 +116,14 @@ In addition, the namespace contains the following multidimensional array utility
 -   <span class="signature">[`emptyLike( 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">[`empty( 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">[`filterMap( x[, options], fcn[, thisArg] )`][@stdlib/ndarray/filter-map]</span><span class="delimiter">: </span><span class="description">filter and map elements in an input ndarray to elements in a new output ndarray according to a callback function.</span>
+-   <span class="signature">[`filter( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/filter]</span><span class="delimiter">: </span><span class="description">return a shallow copy of an ndarray containing only those elements which pass a test implemented by a predicate function.</span>
 -   <span class="signature">[`flag( x, name )`][@stdlib/ndarray/flag]</span><span class="delimiter">: </span><span class="description">return a specified flag for a provided ndarray.</span>
 -   <span class="signature">[`flags( x )`][@stdlib/ndarray/flags]</span><span class="delimiter">: </span><span class="description">return the flags of a provided ndarray.</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">[`indexModes()`][@stdlib/ndarray/index-modes]</span><span class="delimiter">: </span><span class="description">list of ndarray index modes.</span>
+-   <span class="signature">[`map( x[, options], fcn[, thisArg] )`][@stdlib/ndarray/map]</span><span class="delimiter">: </span><span class="description">apply a callback function to elements in an input ndarray and assign results to elements in a new output ndarray.</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">[`maybeBroadcastArrays( arrays )`][@stdlib/ndarray/maybe-broadcast-arrays]</span><span class="delimiter">: </span><span class="description">broadcast ndarrays to a common shape.</span>
 -   <span class="signature">[`minDataType( 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>
@@ -135,6 +138,7 @@ In addition, the namespace contains the following multidimensional array utility
 -   <span class="signature">[`orders()`][@stdlib/ndarray/orders]</span><span class="delimiter">: </span><span class="description">list of ndarray orders.</span>
 -   <span class="signature">[`outputDataTypePolicies()`][@stdlib/ndarray/output-dtype-policies]</span><span class="delimiter">: </span><span class="description">list of output ndarray data type policies.</span>
 -   <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">[`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">[`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>
 -   <span class="signature">[`sameKindCasts( [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">[`shape( x )`][@stdlib/ndarray/shape]</span><span class="delimiter">: </span><span class="description">return the shape of a provided ndarray.</span>
@@ -285,6 +289,10 @@ Copyright &copy; 2016-2024. The Stdlib [Authors][stdlib-authors].
 
 [@stdlib/ndarray/fancy]: https://github.com/stdlib-js/ndarray/tree/main/fancy
 
+[@stdlib/ndarray/filter-map]: https://github.com/stdlib-js/ndarray/tree/main/filter-map
+
+[@stdlib/ndarray/filter]: https://github.com/stdlib-js/ndarray/tree/main/filter
+
 [@stdlib/ndarray/flag]: https://github.com/stdlib-js/ndarray/tree/main/flag
 
 [@stdlib/ndarray/flags]: https://github.com/stdlib-js/ndarray/tree/main/flags
@@ -295,6 +303,8 @@ Copyright &copy; 2016-2024. The Stdlib [Authors][stdlib-authors].
 
 [@stdlib/ndarray/index-modes]: https://github.com/stdlib-js/ndarray/tree/main/index-modes
 
+[@stdlib/ndarray/map]: https://github.com/stdlib-js/ndarray/tree/main/map
+
 [@stdlib/ndarray/maybe-broadcast-array]: https://github.com/stdlib-js/ndarray/tree/main/maybe-broadcast-array
 
 [@stdlib/ndarray/maybe-broadcast-arrays]: https://github.com/stdlib-js/ndarray/tree/main/maybe-broadcast-arrays
@@ -323,6 +333,8 @@ Copyright &copy; 2016-2024. The Stdlib [Authors][stdlib-authors].
 
 [@stdlib/ndarray/promotion-rules]: https://github.com/stdlib-js/ndarray/tree/main/promotion-rules
 
+[@stdlib/ndarray/reject]: https://github.com/stdlib-js/ndarray/tree/main/reject
+
 [@stdlib/ndarray/safe-casts]: https://github.com/stdlib-js/ndarray/tree/main/safe-casts
 
 [@stdlib/ndarray/same-kind-casts]: https://github.com/stdlib-js/ndarray/tree/main/same-kind-casts