From 071a67b5dd539630104afb54ca23560dabf41f95 Mon Sep 17 00:00:00 2001 From: Planeshifter <1913638+Planeshifter@users.noreply.github.com> Date: Wed, 22 Apr 2026 03:25:01 +0000 Subject: [PATCH] docs: update namespace table of contents Signed-off-by: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com> --- lib/node_modules/@stdlib/blas/ext/base/README.md | 3 +++ lib/node_modules/@stdlib/stats/README.md | 3 +++ 2 files changed, 6 insertions(+) diff --git a/lib/node_modules/@stdlib/blas/ext/base/README.md b/lib/node_modules/@stdlib/blas/ext/base/README.md index 6e6a7785bda9..3b9323ebcdd4 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/README.md +++ b/lib/node_modules/@stdlib/blas/ext/base/README.md @@ -62,6 +62,7 @@ var o = ns; - [`dcusumkbn2( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dcusumkbn2]: calculate the cumulative sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm. - [`dcusumors( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dcusumors]: calculate the cumulative sum of double-precision floating-point strided array elements using ordinary recursive summation. - [`dcusumpw( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dcusumpw]: calculate the cumulative sum of double-precision floating-point strided array elements using pairwise summation. +- [`ddiff( N, k, x, strideX, N1, prepend, strideP, N2, append, strideA, out, strideOut, workspace, strideW )`][@stdlib/blas/ext/base/ddiff]: calculate the k-th discrete forward difference of a double-precision floating-point strided array. - [`dfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dfill]: fill a double-precision floating-point strided array with a specified scalar constant. - [`dindexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/dindex-of-row]: return the index of the first row in a double-precision floating-point input matrix which has the same elements as a provided search vector. - [`dindexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/dindex-of]: return the first index of a specified search element in a double-precision floating-point strided array. @@ -307,6 +308,8 @@ console.log( objectKeys( ns ) ); [@stdlib/blas/ext/base/dcusumpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dcusumpw +[@stdlib/blas/ext/base/ddiff]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ddiff + [@stdlib/blas/ext/base/dfill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dfill [@stdlib/blas/ext/base/dindex-of-row]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dindex-of-row diff --git a/lib/node_modules/@stdlib/stats/README.md b/lib/node_modules/@stdlib/stats/README.md index 7e1a1469a0a2..e5f17bc882e8 100644 --- a/lib/node_modules/@stdlib/stats/README.md +++ b/lib/node_modules/@stdlib/stats/README.md @@ -140,6 +140,7 @@ Other statistical functions included are: - [`nanmeanpn( x[, options] )`][@stdlib/stats/nanmeanpn]: compute the arithmetic mean along one or more ndarray dimensions, ignoring `NaN` values and using a two-pass error correction algorithm. - [`nanmeanwd( x[, options] )`][@stdlib/stats/nanmeanwd]: compute the arithmetic mean along one or more ndarray dimensions, ignoring `NaN` values and using Welford's algorithm. - [`nanmidrangeBy( x[, options], clbk[, thisArg] )`][@stdlib/stats/nanmidrange-by]: compute the **mid-range** along one or more ndarray dimensions according to a callback function, ignoring `NaN` values. +- [`nanmidrange( x[, options] )`][@stdlib/stats/nanmidrange]: compute the **mid-range** along one or more ndarray dimensions, ignoring `NaN` values. - [`nanminBy( x[, options], clbk[, thisArg] )`][@stdlib/stats/nanmin-by]: compute the minimum value along one or more ndarray dimensions according to a callback function, ignoring `NaN` values. - [`nanmin( x[, options] )`][@stdlib/stats/nanmin]: compute the minimum value along one or more ndarray dimensions, ignoring `NaN` values. - [`nanminabs( x[, options] )`][@stdlib/stats/nanminabs]: compute the minimum absolute value along one or more ndarray dimensions, ignoring `NaN` values. @@ -252,6 +253,8 @@ console.log( objectKeys( statistics ) ); [@stdlib/stats/nanmidrange-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/nanmidrange-by +[@stdlib/stats/nanmidrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/nanmidrange + [@stdlib/stats/nanmin-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/nanmin-by [@stdlib/stats/nanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/nanmin