From cdb900ec54ae6d19b62c03a83a9ece7211265b34 Mon Sep 17 00:00:00 2001 From: Planeshifter <1913638+Planeshifter@users.noreply.github.com> Date: Fri, 3 Jan 2025 03:05:49 +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 | 4 ++-- lib/node_modules/@stdlib/stats/base/README.md | 10 +++++----- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/lib/node_modules/@stdlib/blas/ext/base/README.md b/lib/node_modules/@stdlib/blas/ext/base/README.md index 3d13ca4e0660..93833964c9e6 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/README.md +++ b/lib/node_modules/@stdlib/blas/ext/base/README.md @@ -86,12 +86,12 @@ var ns = extblas; - [`dssumpw( N, x, strideX )`][@stdlib/blas/ext/base/dssumpw]: calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation and returning an extended precision result. - [`dsum( N, x, strideX )`][@stdlib/blas/ext/base/dsum]: calculate the sum of double-precision floating-point strided array elements. - [`dsumkbn( N, x, strideX )`][@stdlib/blas/ext/base/dsumkbn]: calculate the sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm. -- [`dsumkbn2( N, x, stride )`][@stdlib/blas/ext/base/dsumkbn2]: calculate the sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm. +- [`dsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/dsumkbn2]: calculate the sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm. - [`dsumors( N, x, stride )`][@stdlib/blas/ext/base/dsumors]: calculate the sum of double-precision floating-point strided array elements using ordinary recursive summation. - [`dsumpw( N, x, stride )`][@stdlib/blas/ext/base/dsumpw]: calculate the sum of double-precision floating-point strided array elements using pairwise summation. - [`gapx( N, alpha, x, stride )`][@stdlib/blas/ext/base/gapx]: add a constant to each element in a strided array. - [`gapxsum( N, alpha, x, stride )`][@stdlib/blas/ext/base/gapxsum]: add a constant to each strided array element and compute the sum. -- [`gapxsumkbn( N, alpha, x, stride )`][@stdlib/blas/ext/base/gapxsumkbn]: add a constant to each strided array element and compute the sum using an improved Kahan–Babuška algorithm. +- [`gapxsumkbn( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsumkbn]: add a scalar constant to each strided array element and compute the sum using an improved Kahan–Babuška algorithm. - [`gapxsumkbn2( N, alpha, x, stride )`][@stdlib/blas/ext/base/gapxsumkbn2]: add a constant to each strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm. - [`gapxsumors( N, alpha, x, stride )`][@stdlib/blas/ext/base/gapxsumors]: add a constant to each strided array element and compute the sum using ordinary recursive summation. - [`gapxsumpw( N, alpha, x, stride )`][@stdlib/blas/ext/base/gapxsumpw]: add a constant to each strided array element and compute the sum using pairwise summation. diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md index a885eb9f0a1b..b0fb0ebfb3f8 100644 --- a/lib/node_modules/@stdlib/stats/base/README.md +++ b/lib/node_modules/@stdlib/stats/base/README.md @@ -67,8 +67,8 @@ The namespace contains the following statistical functions: - [`dcuminabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/dcuminabs]: calculate the cumulative minimum absolute value of double-precision floating-point strided array elements. - [`dmax( N, x, strideX )`][@stdlib/stats/base/dmax]: calculate the maximum value of a double-precision floating-point strided array. - [`dmaxabs( N, x, strideX )`][@stdlib/stats/base/dmaxabs]: calculate the maximum absolute value of a double-precision floating-point strided array. -- [`dmaxabssorted( N, x, stride )`][@stdlib/stats/base/dmaxabssorted]: calculate the maximum absolute value of a sorted double-precision floating-point strided array. -- [`dmaxsorted( N, x, stride )`][@stdlib/stats/base/dmaxsorted]: calculate the maximum value of a sorted double-precision floating-point strided array. +- [`dmaxabssorted( N, x, strideX )`][@stdlib/stats/base/dmaxabssorted]: calculate the maximum absolute value of a sorted double-precision floating-point strided array. +- [`dmaxsorted( N, x, strideX )`][@stdlib/stats/base/dmaxsorted]: calculate the maximum value of a sorted double-precision floating-point strided array. - [`dmean( N, x, stride )`][@stdlib/stats/base/dmean]: calculate the arithmetic mean of a double-precision floating-point strided array. - [`dmeankbn( N, x, stride )`][@stdlib/stats/base/dmeankbn]: calculate the arithmetic mean of a double-precision floating-point strided array using an improved Kahan–Babuška algorithm. - [`dmeankbn2( N, x, stride )`][@stdlib/stats/base/dmeankbn2]: calculate the arithmetic mean of a double-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm. @@ -82,11 +82,11 @@ The namespace contains the following statistical functions: - [`dmeanvar( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvar]: calculate the mean and variance of a double-precision floating-point strided array. - [`dmeanvarpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvarpn]: calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm. - [`dmeanwd( N, x, stride )`][@stdlib/stats/base/dmeanwd]: calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm. -- [`dmediansorted( N, x, stride )`][@stdlib/stats/base/dmediansorted]: calculate the median value of a sorted double-precision floating-point strided array. +- [`dmediansorted( N, x, strideX )`][@stdlib/stats/base/dmediansorted]: calculate the median value of a sorted double-precision floating-point strided array. - [`dmidrange( N, x, strideX )`][@stdlib/stats/base/dmidrange]: calculate the mid-range of a double-precision floating-point strided array. - [`dmin( N, x, strideX )`][@stdlib/stats/base/dmin]: calculate the minimum value of a double-precision floating-point strided array. - [`dminabs( N, x, strideX )`][@stdlib/stats/base/dminabs]: calculate the minimum absolute value of a double-precision floating-point strided array. -- [`dminsorted( N, x, stride )`][@stdlib/stats/base/dminsorted]: calculate the minimum value of a sorted double-precision floating-point strided array. +- [`dminsorted( N, x, strideX )`][@stdlib/stats/base/dminsorted]: calculate the minimum value of a sorted double-precision floating-point strided array. - [`dmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskmax]: calculate the maximum value of a double-precision floating-point strided array according to a mask. - [`dmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskmin]: calculate the minimum value of a double-precision floating-point strided array according to a mask. - [`dmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskrange]: calculate the range of a double-precision floating-point strided array according to a mask. @@ -206,7 +206,7 @@ The namespace contains the following statistical functions: - [`sdsnanmeanors( N, x, stride )`][@stdlib/stats/base/sdsnanmeanors]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation. - [`smax( N, x, strideX )`][@stdlib/stats/base/smax]: calculate the maximum value of a single-precision floating-point strided array. - [`smaxabs( N, x, strideX )`][@stdlib/stats/base/smaxabs]: calculate the maximum absolute value of a single-precision floating-point strided array. -- [`smaxabssorted( N, x, stride )`][@stdlib/stats/base/smaxabssorted]: calculate the maximum absolute value of a sorted single-precision floating-point strided array. +- [`smaxabssorted( N, x, strideX )`][@stdlib/stats/base/smaxabssorted]: calculate the maximum absolute value of a sorted single-precision floating-point strided array. - [`smaxsorted( N, x, stride )`][@stdlib/stats/base/smaxsorted]: calculate the maximum value of a sorted single-precision floating-point strided array. - [`smean( N, x, stride )`][@stdlib/stats/base/smean]: calculate the arithmetic mean of a single-precision floating-point strided array. - [`smeankbn( N, x, stride )`][@stdlib/stats/base/smeankbn]: calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.