From 5cffb303946617cca129c02dcfced8aec3eedb02 Mon Sep 17 00:00:00 2001 From: Planeshifter <1913638+Planeshifter@users.noreply.github.com> Date: Mon, 25 Nov 2024 03:10:28 +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 | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/lib/node_modules/@stdlib/blas/ext/base/README.md b/lib/node_modules/@stdlib/blas/ext/base/README.md index 36fa121ff1b3..238e1a32bcb9 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/README.md +++ b/lib/node_modules/@stdlib/blas/ext/base/README.md @@ -43,7 +43,7 @@ var ns = extblas;
-- [`dapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapx]: add a constant to each element in a double-precision floating-point strided array. +- [`dapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapx]: add a scalar constant to each element in a double-precision floating-point strided array. - [`dapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsum]: add a scalar constant to each double-precision floating-point strided array element and compute the sum. - [`dapxsumkbn( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumkbn]: add a scalar constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm. - [`dapxsumkbn2( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumkbn2]: add a scalar constant to each double-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm. @@ -67,13 +67,13 @@ var ns = extblas; - [`dnansumkbn( N, x, strideX )`][@stdlib/blas/ext/base/dnansumkbn]: calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm. - [`dnansumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/dnansumkbn2]: calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm. - [`dnansumors( N, x, strideX )`][@stdlib/blas/ext/base/dnansumors]: calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. -- [`dnansumpw( N, x, stride )`][@stdlib/blas/ext/base/dnansumpw]: calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation. +- [`dnansumpw( N, x, strideX )`][@stdlib/blas/ext/base/dnansumpw]: calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation. - [`drev( N, x, strideX )`][@stdlib/blas/ext/base/drev]: reverse a double-precision floating-point strided array in-place. -- [`dsapxsum( N, alpha, x, stride )`][@stdlib/blas/ext/base/dsapxsum]: add a constant to each single-precision floating-point strided array element and compute the sum using extended accumulation and returning an extended precision result. +- [`dsapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dsapxsum]: add a scalar constant to each single-precision floating-point strided array element, and compute the sum using extended accumulation and returning an extended precision result. - [`dsapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dsapxsumpw]: add a constant to each single-precision floating-point strided array element, and compute the sum using pairwise summation with extended accumulation and returning an extended precision result. - [`dsnannsumors( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dsnannsumors]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result. - [`dsnansum( N, x, stride )`][@stdlib/blas/ext/base/dsnansum]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using extended accumulation, and returning an extended precision result. -- [`dsnansumors( N, x, stride )`][@stdlib/blas/ext/base/dsnansumors]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result. +- [`dsnansumors( N, x, strideX )`][@stdlib/blas/ext/base/dsnansumors]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result. - [`dsnansumpw( N, x, stride )`][@stdlib/blas/ext/base/dsnansumpw]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using pairwise summation with extended accumulation, and returning an extended precision result. - [`dsort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dsort2hp]: simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using heapsort. - [`dsort2ins( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dsort2ins]: simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using insertion sort.