docs: consolidate notes

Signed-off-by: Athan <[email protected]>

Author: kgryte

lib/node_modules/@stdlib/blas/ext/sorthp/README.md

@@ -130,8 +130,7 @@ v = ndarray2array( y );
 ## Notes
 
 -   The input [ndarray][@stdlib/ndarray/ctor] is sorted **in-place** (i.e., the input [ndarray][@stdlib/ndarray/ctor] is **mutated**).
--   If `sortOrder < 0.0`, the input [ndarray][@stdlib/ndarray/ctor] is sorted in **decreasing** order. If `sortOrder > 0.0`, the input [ndarray][@stdlib/ndarray/ctor] is sorted in **increasing** order. If `sortOrder == 0.0`, the input [ndarray][@stdlib/ndarray/ctor] is left unchanged.
--   If `sortOrder === asc` or `sortOrder === ascending`, the input [ndarray][@stdlib/ndarray/ctor] is sorted in **increasing** order. If `sortOrder === desc` or `sortOrder === descending`, the input [ndarray][@stdlib/ndarray/ctor] is sorted in **decreasing** order.
+-   If `sortOrder < 0.0` or either `'desc'` or `'descending'`, the input [ndarray][@stdlib/ndarray/ctor] is sorted in **decreasing** order. If `sortOrder > 0.0` or either `'asc'` or `'ascending'`, the input [ndarray][@stdlib/ndarray/ctor] is sorted in **increasing** order. If `sortOrder == 0.0`, the input [ndarray][@stdlib/ndarray/ctor] is left unchanged.
 -   The function iterates over [ndarray][@stdlib/ndarray/ctor] elements according to the memory layout of the input [ndarray][@stdlib/ndarray/ctor]. Accordingly, performance degradation is possible when operating over multiple dimensions of a large non-contiguous multi-dimensional input [ndarray][@stdlib/ndarray/ctor]. In such scenarios, one may want to copy an input [ndarray][@stdlib/ndarray/ctor] to contiguous memory before sorting.
 
 </section>