From 49ddda214a266c4dabf68aba7d6c592f77cc3bf0 Mon Sep 17 00:00:00 2001 From: Planeshifter <1913638+Planeshifter@users.noreply.github.com> Date: Sat, 15 Aug 2026 02:40:44 +0000 Subject: [PATCH] docs: update namespace table of contents Signed-off-by: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com> --- .../@stdlib/blas/ext/base/ndarray/README.md | 21 +++++++++++++++++++ 1 file changed, 21 insertions(+) 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 2f2f9ef017c7..2d776fa018e9 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/README.md @@ -105,7 +105,9 @@ The namespace exposes the following APIs: - [`dsumors( arrays )`][@stdlib/blas/ext/base/ndarray/dsumors]: compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using ordinary recursive summation. - [`dsumpw( arrays )`][@stdlib/blas/ext/base/ndarray/dsumpw]: compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using pairwise summation. - [`dtril( arrays )`][@stdlib/blas/ext/base/ndarray/dtril]: copy the lower triangular part of a double-precision floating-point matrix `A` to another matrix `B`. +- [`dtril2triu( arrays )`][@stdlib/blas/ext/base/ndarray/dtril2triu]: reflect the lower triangular part of a double-precision floating-point matrix `A` into the upper triangular part of another matrix `B`. - [`dtriu( arrays )`][@stdlib/blas/ext/base/ndarray/dtriu]: copy the upper triangular part of a double-precision floating-point matrix `A` to another matrix `B`. +- [`dtriu2tril( arrays )`][@stdlib/blas/ext/base/ndarray/dtriu2tril]: reflect the upper triangular part of a double-precision floating-point matrix `A` into the lower triangular part of another matrix `B`. - [`dunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/dunitspace]: fill a one-dimensional double-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. - [`dwxsa( arrays )`][@stdlib/blas/ext/base/ndarray/dwxsa]: subtract a scalar constant from each element in an input one-dimensional double-precision floating-point ndarray and assign the results to elements in a one-dimensional double-precision floating-point output ndarray. - [`dxdy( arrays )`][@stdlib/blas/ext/base/ndarray/dxdy]: divide elements of a one-dimensional double-precision floating-point ndarray by the corresponding elements of a second one-dimensional double-precision floating-point ndarray and assign the results to the second ndarray. @@ -142,6 +144,7 @@ The namespace exposes the following APIs: - [`glastIndexOfFalsy( arrays )`][@stdlib/blas/ext/base/ndarray/glast-index-of-falsy]: return the index of the last falsy element in a one-dimensional ndarray. - [`glastIndexOf( arrays )`][@stdlib/blas/ext/base/ndarray/glast-index-of]: return the last index of a search element in a one-dimensional ndarray. - [`glinspace( arrays )`][@stdlib/blas/ext/base/ndarray/glinspace]: fill a one-dimensional ndarray with linearly spaced values over a specified interval. +- [`glogspace( arrays )`][@stdlib/blas/ext/base/ndarray/glogspace]: fill a one-dimensional ndarray with logarithmically spaced values over a specified interval. - [`gnansum( arrays )`][@stdlib/blas/ext/base/ndarray/gnansum]: compute the sum of a one-dimensional ndarray, ignoring `NaN` values. - [`gnansumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/gnansumkbn]: compute the sum of a one-dimensional ndarray, ignoring `NaN` values and using an improved Kahan–Babuška algorithm. - [`gnansumkbn2( arrays )`][@stdlib/blas/ext/base/ndarray/gnansumkbn2]: compute the sum of a one-dimensional ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm. @@ -156,7 +159,9 @@ The namespace exposes the following APIs: - [`gsumors( arrays )`][@stdlib/blas/ext/base/ndarray/gsumors]: compute the sum of all elements in a one-dimensional ndarray using ordinary recursive summation. - [`gsumpw( arrays )`][@stdlib/blas/ext/base/ndarray/gsumpw]: compute the sum of all elements in a one-dimensional ndarray using pairwise summation. - [`gtril( arrays )`][@stdlib/blas/ext/base/ndarray/gtril]: copy the lower triangular part of a matrix `A` to another matrix `B`. +- [`gtril2triu( arrays )`][@stdlib/blas/ext/base/ndarray/gtril2triu]: reflect the lower triangular part of a matrix `A` into the upper triangular part of another matrix `B`. - [`gtriu( arrays )`][@stdlib/blas/ext/base/ndarray/gtriu]: copy the upper triangular part of a matrix `A` to another matrix `B`. +- [`gtriu2tril( arrays )`][@stdlib/blas/ext/base/ndarray/gtriu2tril]: reflect the upper triangular part of a matrix `A` into the lower triangular part of another matrix `B`. - [`gunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/gunitspace]: fill a one-dimensional ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. - [`gwxsa( arrays )`][@stdlib/blas/ext/base/ndarray/gwxsa]: subtract a scalar constant from each element in an input one-dimensional ndarray and assign the results to elements in a one-dimensional output ndarray. - [`gxdy( arrays )`][@stdlib/blas/ext/base/ndarray/gxdy]: divide elements of a one-dimensional ndarray by the corresponding elements of a second one-dimensional ndarray and assign the results to the second ndarray. @@ -186,6 +191,7 @@ The namespace exposes the following APIs: - [`slastIndexOfFalsy( arrays )`][@stdlib/blas/ext/base/ndarray/slast-index-of-falsy]: return the index of the last falsy element in a one-dimensional single-precision floating-point ndarray. - [`slastIndexOf( arrays )`][@stdlib/blas/ext/base/ndarray/slast-index-of]: return the last index of a search element in a one-dimensional single-precision floating-point ndarray. - [`slinspace( arrays )`][@stdlib/blas/ext/base/ndarray/slinspace]: fill a one-dimensional single-precision floating-point ndarray with linearly spaced values over a specified interval. +- [`slogspace( arrays )`][@stdlib/blas/ext/base/ndarray/slogspace]: fill a one-dimensional single-precision floating-point ndarray with logarithmically spaced values over a specified interval. - [`snansum( arrays )`][@stdlib/blas/ext/base/ndarray/snansum]: compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values. - [`snansumkbn( arrays )`][@stdlib/blas/ext/base/ndarray/snansumkbn]: compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using an improved Kahan–Babuška algorithm. - [`snansumkbn2( arrays )`][@stdlib/blas/ext/base/ndarray/snansumkbn2]: compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm. @@ -201,6 +207,7 @@ The namespace exposes the following APIs: - [`ssumpw( arrays )`][@stdlib/blas/ext/base/ndarray/ssumpw]: compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using pairwise summation. - [`stril( arrays )`][@stdlib/blas/ext/base/ndarray/stril]: copy the lower triangular part of a single-precision floating-point matrix `A` to another matrix `B`. - [`striu( arrays )`][@stdlib/blas/ext/base/ndarray/striu]: copy the upper triangular part of a single-precision floating-point matrix `A` to another matrix `B`. +- [`striu2tril( arrays )`][@stdlib/blas/ext/base/ndarray/striu2tril]: reflect the upper triangular part of a single-precision floating-point matrix `A` into the lower triangular part of another matrix `B`. - [`sunitspace( arrays )`][@stdlib/blas/ext/base/ndarray/sunitspace]: fill a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. - [`swxsa( arrays )`][@stdlib/blas/ext/base/ndarray/swxsa]: subtract a scalar constant from each element in an input one-dimensional single-precision floating-point ndarray and assign the results to elements in a one-dimensional single-precision floating-point output ndarray. - [`sxdy( arrays )`][@stdlib/blas/ext/base/ndarray/sxdy]: divide elements of a one-dimensional single-precision floating-point ndarray by the corresponding elements of a second one-dimensional single-precision floating-point ndarray and assign the results to the second ndarray. @@ -389,8 +396,12 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/dtril]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dtril +[@stdlib/blas/ext/base/ndarray/dtril2triu]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dtril2triu + [@stdlib/blas/ext/base/ndarray/dtriu]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dtriu +[@stdlib/blas/ext/base/ndarray/dtriu2tril]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dtriu2tril + [@stdlib/blas/ext/base/ndarray/dunitspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dunitspace [@stdlib/blas/ext/base/ndarray/dwxsa]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dwxsa @@ -463,6 +474,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/glinspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/glinspace +[@stdlib/blas/ext/base/ndarray/glogspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/glogspace + [@stdlib/blas/ext/base/ndarray/gnansum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gnansum [@stdlib/blas/ext/base/ndarray/gnansumkbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gnansumkbn @@ -491,8 +504,12 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/gtril]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gtril +[@stdlib/blas/ext/base/ndarray/gtril2triu]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gtril2triu + [@stdlib/blas/ext/base/ndarray/gtriu]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gtriu +[@stdlib/blas/ext/base/ndarray/gtriu2tril]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gtriu2tril + [@stdlib/blas/ext/base/ndarray/gunitspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gunitspace [@stdlib/blas/ext/base/ndarray/gwxsa]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gwxsa @@ -551,6 +568,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/slinspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/slinspace +[@stdlib/blas/ext/base/ndarray/slogspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/slogspace + [@stdlib/blas/ext/base/ndarray/snansum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/snansum [@stdlib/blas/ext/base/ndarray/snansumkbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/snansumkbn @@ -581,6 +600,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/ndarray/striu]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/striu +[@stdlib/blas/ext/base/ndarray/striu2tril]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/striu2tril + [@stdlib/blas/ext/base/ndarray/sunitspace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/sunitspace [@stdlib/blas/ext/base/ndarray/swxsa]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/swxsa