diff --git a/lib/node_modules/@stdlib/blas/ext/base/README.md b/lib/node_modules/@stdlib/blas/ext/base/README.md index a00109e052a..76a01be4de7 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/README.md +++ b/lib/node_modules/@stdlib/blas/ext/base/README.md @@ -89,20 +89,20 @@ var ns = extblas; - [`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, strideX )`][@stdlib/blas/ext/base/dsumors]: calculate the sum of double-precision floating-point strided array elements using ordinary recursive summation. - [`dsumpw( N, x, strideX )`][@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. +- [`gapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapx]: add a scalar constant to each element in a strided array. +- [`gapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsum]: add a scalar constant to each strided array element and compute the sum. - [`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. -- [`gasumpw( N, x, stride )`][@stdlib/blas/ext/base/gasumpw]: calculate the sum of absolute values (_L1_ norm) of strided array elements using pairwise summation. +- [`gapxsumkbn2( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsumkbn2]: add a scalar constant to each strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm. +- [`gapxsumors( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsumors]: add a scalar constant to each strided array element and compute the sum using ordinary recursive summation. +- [`gapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsumpw]: add a scalar constant to each strided array element and compute the sum using pairwise summation. +- [`gasumpw( N, x, strideX )`][@stdlib/blas/ext/base/gasumpw]: calculate the sum of absolute values (_L1_ norm) of strided array elements using pairwise summation. - [`gcusum( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gcusum]: calculate the cumulative sum of strided array elements. - [`gcusumkbn( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gcusumkbn]: calculate the cumulative sum of strided array elements using an improved Kahan–Babuška algorithm. - [`gcusumkbn2( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gcusumkbn2]: calculate the cumulative sum of strided array elements using a second-order iterative Kahan–Babuška algorithm. - [`gcusumors( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gcusumors]: calculate the cumulative sum of strided array elements using ordinary recursive summation. - [`gcusumpw( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gcusumpw]: calculate the cumulative sum of strided array elements using pairwise summation. -- [`gfillBy( N, x, stride, clbk[, thisArg] )`][@stdlib/blas/ext/base/gfill-by]: fill a strided array according to a provided callback function. -- [`gfill( N, alpha, x, stride )`][@stdlib/blas/ext/base/gfill]: fill a strided array with a specified scalar constant. +- [`gfillBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/blas/ext/base/gfill-by]: fill a strided array according to a provided callback function. +- [`gfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gfill]: fill a strided array with a specified scalar constant. - [`gnannsumkbn( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/gnannsumkbn]: calculate the sum of strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm. - [`gnansum( N, x, strideX )`][@stdlib/blas/ext/base/gnansum]: calculate the sum of strided array elements, ignoring `NaN` values. - [`gnansumkbn( N, x, strideX )`][@stdlib/blas/ext/base/gnansumkbn]: calculate the sum of strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm. @@ -117,13 +117,13 @@ var ns = extblas; - [`gsortins( N, order, x, stride )`][@stdlib/blas/ext/base/gsortins]: sort a strided array using insertion sort. - [`gsortsh( N, order, x, stride )`][@stdlib/blas/ext/base/gsortsh]: sort a strided array using Shellsort. - [`gsum( N, x, stride )`][@stdlib/blas/ext/base/gsum]: calculate the sum of strided array elements. -- [`gsumkbn( N, x, stride )`][@stdlib/blas/ext/base/gsumkbn]: calculate the sum of strided array elements using an improved Kahan–Babuška algorithm. +- [`gsumkbn( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn]: calculate the sum of strided array elements using an improved Kahan–Babuška algorithm. - [`gsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn2]: calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm. - [`gsumors( N, x, strideX )`][@stdlib/blas/ext/base/gsumors]: calculate the sum of strided array elements using ordinary recursive summation. - [`gsumpw( N, x, strideX )`][@stdlib/blas/ext/base/gsumpw]: calculate the sum of strided array elements using pairwise summation. - [`sapx( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapx]: add a constant to each element in a single-precision floating-point strided array. - [`sapxsum( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsum]: add a constant to each single-precision floating-point strided array element and compute the sum. -- [`sapxsumkbn( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsumkbn]: add a constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm. +- [`sapxsumkbn( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumkbn]: add a scalar constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm. - [`sapxsumkbn2( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumkbn2]: add a scalar constant to each single-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm. - [`sapxsumors( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumors]: add a scalar constant to each single-precision floating-point strided array element and compute the sum using ordinary recursive summation. - [`sapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumpw]: add a scalar constant to each single-precision floating-point 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 23dd6863db8..d01dd353a3d 100644 --- a/lib/node_modules/@stdlib/stats/base/README.md +++ b/lib/node_modules/@stdlib/stats/base/README.md @@ -65,7 +65,6 @@ The namespace contains the following statistical functions: - [`dcumaxabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/dcumaxabs]: calculate the cumulative maximum absolute value of double-precision floating-point strided array elements. - [`dcumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/dcumin]: calculate the cumulative minimum of double-precision floating-point strided array elements. - [`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/strided/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, 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. @@ -123,10 +122,10 @@ The namespace contains the following statistical functions: - [`dsemwd( N, correction, x, strideX )`][@stdlib/stats/base/dsemwd]: calculate the standard error of the mean of a double-precision floating-point strided array using Welford's algorithm. - [`dsemyc( N, correction, x, strideX )`][@stdlib/stats/base/dsemyc]: calculate the standard error of the mean of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer. - [`dsmean( N, x, stride )`][@stdlib/stats/base/dsmean]: calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result. -- [`dsmeanors( N, x, stride )`][@stdlib/stats/base/dsmeanors]: calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result. -- [`dsmeanpn( N, x, stride )`][@stdlib/stats/base/dsmeanpn]: calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result. +- [`dsmeanors( N, x, strideX )`][@stdlib/stats/base/dsmeanors]: calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result. +- [`dsmeanpn( N, x, strideX )`][@stdlib/stats/base/dsmeanpn]: calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result. - [`dsmeanpw( N, x, stride )`][@stdlib/stats/base/dsmeanpw]: calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result. -- [`dsmeanwd( N, x, stride )`][@stdlib/stats/base/dsmeanwd]: calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result. +- [`dsmeanwd( N, x, strideX )`][@stdlib/stats/base/dsmeanwd]: calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result. - [`dsnanmean( N, x, stride )`][@stdlib/stats/base/dsnanmean]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using extended accumulation, and returning an extended precision result. - [`dsnanmeanors( N, x, stride )`][@stdlib/stats/base/dsnanmeanors]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result. - [`dsnanmeanpn( N, x, stride )`][@stdlib/stats/base/dsnanmeanpn]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result. @@ -340,8 +339,6 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/base/dcuminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dcuminabs -[@stdlib/stats/strided/dmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmax - [@stdlib/stats/base/dmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmaxabs [@stdlib/stats/base/dmaxabssorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmaxabssorted