diff --git a/lib/node_modules/@stdlib/blas/ext/base/README.md b/lib/node_modules/@stdlib/blas/ext/base/README.md index 1ee952c9ebd3..32bdacf2feda 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/README.md +++ b/lib/node_modules/@stdlib/blas/ext/base/README.md @@ -142,10 +142,10 @@ var ns = extblas; - [`sfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sfill]: fill a single-precision floating-point strided array with a specified scalar constant. - [`snansum( N, x, stride )`][@stdlib/blas/ext/base/snansum]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values. - [`snansumkbn( N, x, stride )`][@stdlib/blas/ext/base/snansumkbn]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm. -- [`snansumkbn2( N, x, stride )`][@stdlib/blas/ext/base/snansumkbn2]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm. +- [`snansumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/snansumkbn2]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm. - [`snansumors( N, x, strideX )`][@stdlib/blas/ext/base/snansumors]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. - [`snansumpw( N, x, strideX )`][@stdlib/blas/ext/base/snansumpw]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation. -- [`srev( N, x, stride )`][@stdlib/blas/ext/base/srev]: reverse a single-precision floating-point strided array in-place. +- [`srev( N, x, strideX )`][@stdlib/blas/ext/base/srev]: reverse a single-precision floating-point strided array in-place. - [`ssort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2hp]: simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using heapsort. - [`ssort2ins( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2ins]: simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using insertion sort. - [`ssort2sh( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2sh]: simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using Shellsort. diff --git a/lib/node_modules/@stdlib/complex/float64/base/README.md b/lib/node_modules/@stdlib/complex/float64/base/README.md index 016d6d474403..cbd528a36ce1 100644 --- a/lib/node_modules/@stdlib/complex/float64/base/README.md +++ b/lib/node_modules/@stdlib/complex/float64/base/README.md @@ -58,7 +58,9 @@ The namespace contains the following functions:
- [`add( z1, z2 )`][@stdlib/complex/float64/base/add]: add two double-precision complex floating-point numbers. +- [`muladd( alpha, x, y )`][@stdlib/complex/float64/base/mul-add]: perform a multiply-add operation involving three double-precision complex floating-point numbers. - [`mul( z1, z2 )`][@stdlib/complex/float64/base/mul]: multiply two double-precision complex floating-point numbers. +- [`scale( alpha, z )`][@stdlib/complex/float64/base/scale]: scale a double-precision complex floating-point number by a real-valued double-precision floating-point scalar constant.
@@ -111,8 +113,12 @@ console.log( objectKeys( ns ) ); [@stdlib/complex/float64/base/add]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/complex/float64/base/add +[@stdlib/complex/float64/base/mul-add]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/complex/float64/base/mul-add + [@stdlib/complex/float64/base/mul]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/complex/float64/base/mul +[@stdlib/complex/float64/base/scale]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/complex/float64/base/scale + [@stdlib/complex/float64/base/assert]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/complex/float64/base/assert diff --git a/lib/node_modules/@stdlib/math/base/napi/README.md b/lib/node_modules/@stdlib/math/base/napi/README.md index 00808ad8ba9b..01e18d84d386 100644 --- a/lib/node_modules/@stdlib/math/base/napi/README.md +++ b/lib/node_modules/@stdlib/math/base/napi/README.md @@ -45,10 +45,10 @@ The namespace contains the following packages:
-- [`binary( env, info, fcn )`][@stdlib/math/base/napi/binary]: C APIs for registering a Node-API module exporting interfaces for invoking binary numerical functions. +- [`binary( fcn )`][@stdlib/math/base/napi/binary]: C APIs for registering a Node-API module exporting interfaces for invoking binary numerical functions. - [`quaternary( env, info, fcn )`][@stdlib/math/base/napi/quaternary]: C APIs for registering a Node-API module exporting interfaces for invoking quaternary numerical functions. - [`quinary( env, info, fcn )`][@stdlib/math/base/napi/quinary]: C APIs for registering a Node-API module exporting interfaces for invoking quinary numerical functions. -- [`ternary( env, info, fcn )`][@stdlib/math/base/napi/ternary]: C APIs for registering a Node-API module exporting interfaces for invoking ternary numerical functions. +- [`ternary( fcn )`][@stdlib/math/base/napi/ternary]: C APIs for registering a Node-API module exporting interfaces for invoking ternary numerical functions. - [`unary( env, info, fcn )`][@stdlib/math/base/napi/unary]: C APIs for registering a Node-API module exporting interfaces for invoking unary numerical functions.
diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md index 5d016ed0934e..303bee072775 100644 --- a/lib/node_modules/@stdlib/stats/base/README.md +++ b/lib/node_modules/@stdlib/stats/base/README.md @@ -225,7 +225,7 @@ The namespace contains the following statistical functions: - [`snanmax( N, x, strideX )`][@stdlib/stats/base/snanmax]: calculate the maximum value of a single-precision floating-point strided array, ignoring `NaN` values. - [`snanmaxabs( N, x, strideX )`][@stdlib/stats/base/snanmaxabs]: calculate the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values. - [`snanmean( N, x, stride )`][@stdlib/stats/base/snanmean]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values. -- [`snanmeanors( N, x, stride )`][@stdlib/stats/base/snanmeanors]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation. +- [`snanmeanors( N, x, strideX )`][@stdlib/stats/base/snanmeanors]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation. - [`snanmeanpn( N, x, stride )`][@stdlib/stats/base/snanmeanpn]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm. - [`snanmeanwd( N, x, stride )`][@stdlib/stats/base/snanmeanwd]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm. - [`snanmin( N, x, strideX )`][@stdlib/stats/base/snanmin]: calculate the minimum value of a single-precision floating-point strided array, ignoring `NaN` values.