@stdlib/blas-ext-base

Standard library extended basic linear algebra subroutines (BLAS).

https://github.com/stdlib-js/blas-ext-base

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Keywords

algebra array base basic blas javascript lib library linear math mathematics ndarray node node-js nodejs routines standard stdlib subprograms vector

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Standard library extended basic linear algebra subroutines (BLAS).

Basic Info

Host: GitHub
Owner: stdlib-js
License: apache-2.0
Language: JavaScript
Default Branch: main
Homepage: https://github.com/stdlib-js/stdlib
Size: 9.86 MB

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Forks: 0
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Topics

algebra array base basic blas javascript lib library linear math mathematics ndarray node node-js nodejs routines standard stdlib subprograms vector

Created over 4 years ago · Last pushed 8 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation Security Notice

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

Extended BLAS

Base (i.e., lower-level) extensions to basic linear algebra subprograms (BLAS).

## Installation ```bash npm install @stdlib/blas-ext-base ``` Alternatively, - To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]). - If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions). - For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]). The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships. To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

## Usage ```javascript var ns = require( '@stdlib/blas-ext-base' ); ``` #### ns Namespace for "base" (i.e., lower-level) extensions to basic linear algebra subprograms (BLAS). ```javascript var o = ns; // returns {...} ```

- [`cfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/cfill]: fill a single-precision complex floating-point strided array with a specified scalar constant. - [`csum( N, x, strideX )`][@stdlib/blas/ext/base/csum]: calculate the sum of single-precision complex floating-point strided array elements. - [`csumkbn( N, x, strideX )`][@stdlib/blas/ext/base/csumkbn]: calculate the sum of single-precision complex floating-point strided array elements using an improved Kahan–Babuška algorithm. - [`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. - [`dapxsumors( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumors]: add a scalar constant to each double-precision floating-point strided array element and compute the sum using ordinary recursive summation. - [`dapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumpw]: add a scalar constant to each double-precision floating-point strided array element and compute the sum using pairwise summation. - [`dasumpw( N, x, strideX )`][@stdlib/blas/ext/base/dasumpw]: calculate the sum of absolute values (_L1_ norm) of double-precision floating-point strided array elements using pairwise summation. - [`dcusum( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dcusum]: calculate the cumulative sum of double-precision floating-point strided array elements. - [`dcusumkbn( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dcusumkbn]: calculate the cumulative sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm. - [`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. - [`dfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dfill]: fill a double-precision floating-point strided array with a specified scalar constant. - [`dnanasum( N, x, strideX )`][@stdlib/blas/ext/base/dnanasum]: calculate the sum of absolute values (_L1_ norm) of double-precision floating-point strided array elements, ignoring `NaN` values. - [`dnanasumors( N, x, strideX )`][@stdlib/blas/ext/base/dnanasumors]: calculate the sum of absolute values (_L1_ norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. - [`dnannsum( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dnannsum]: calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values. - [`dnannsumkbn( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dnannsumkbn]: calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm. - [`dnannsumkbn2( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dnannsumkbn2]: calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm. - [`dnannsumors( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dnannsumors]: calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation. - [`dnannsumpw( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dnannsumpw]: calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation. - [`dnansum( N, x, strideX )`][@stdlib/blas/ext/base/dnansum]: calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values. - [`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, 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, 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, strideX )`][@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, 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, strideX )`][@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. - [`dsort2sh( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dsort2sh]: simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using Shellsort. - [`dsorthp( N, order, x, strideX )`][@stdlib/blas/ext/base/dsorthp]: sort a double-precision floating-point strided array using heapsort. - [`dsortins( N, order, x, strideX )`][@stdlib/blas/ext/base/dsortins]: sort a double-precision floating-point strided array using insertion sort. - [`dsortsh( N, order, x, stride )`][@stdlib/blas/ext/base/dsortsh]: sort a double-precision floating-point strided array using Shellsort. - [`dssum( N, x, strideX )`][@stdlib/blas/ext/base/dssum]: calculate the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result. - [`dssumors( N, x, strideX )`][@stdlib/blas/ext/base/dssumors]: calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation with extended accumulation and returning an extended precision result. - [`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, 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, 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, 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, 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. - [`gnannsumpw( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/gnannsumpw]: calculate the sum of strided array elements, ignoring `NaN` values and using pairwise summation. - [`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. - [`gnansumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gnansumkbn2]: calculate the sum of strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm. - [`gnansumors( N, x, strideX )`][@stdlib/blas/ext/base/gnansumors]: calculate the sum of strided array elements, ignoring `NaN` values and using ordinary recursive summation. - [`gnansumpw( N, x, strideX )`][@stdlib/blas/ext/base/gnansumpw]: calculate the sum of strided array elements, ignoring `NaN` values and using pairwise summation. - [`grev( N, x, strideX )`][@stdlib/blas/ext/base/grev]: reverse a strided array in-place. - [`gsort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gsort2hp]: simultaneously sort two strided arrays based on the sort order of the first array using heapsort. - [`gsort2ins( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gsort2ins]: simultaneously sort two strided arrays based on the sort order of the first array using insertion sort. - [`gsort2sh( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gsort2sh]: simultaneously sort two strided arrays based on the sort order of the first array using Shellsort. - [`gsorthp( N, order, x, strideX )`][@stdlib/blas/ext/base/gsorthp]: sort a strided array using heapsort. - [`gsortins( N, order, x, strideX )`][@stdlib/blas/ext/base/gsortins]: sort a strided array using insertion sort. - [`gsortsh( N, order, x, strideX )`][@stdlib/blas/ext/base/gsortsh]: sort a strided array using Shellsort. - [`gsum( N, x, strideX )`][@stdlib/blas/ext/base/gsum]: calculate the sum of strided array elements. - [`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. - [`ndarray`][@stdlib/blas/ext/base/ndarray]: base ndarray extended BLAS functions. - [`sapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapx]: add a scalar constant to each element in a single-precision floating-point strided array. - [`sapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsum]: add a scalar constant to each single-precision floating-point strided array element and compute the sum. - [`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. - [`sasumpw( N, x, strideX )`][@stdlib/blas/ext/base/sasumpw]: calculate the sum of absolute values (_L1_ norm) of single-precision floating-point strided array elements using pairwise summation. - [`scusum( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusum]: calculate the cumulative sum of single-precision floating-point strided array elements. - [`scusumkbn( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumkbn]: calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm. - [`scusumkbn2( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumkbn2]: calculate the cumulative sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm. - [`scusumors( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumors]: calculate the cumulative sum of single-precision floating-point strided array elements using ordinary recursive summation. - [`scusumpw( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumpw]: calculate the cumulative sum of single-precision floating-point strided array elements using pairwise summation. - [`sdsapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sdsapxsum]: add a scalar constant to each single-precision floating-point strided array element and compute the sum using extended accumulation. - [`sdsapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sdsapxsumpw]: add a scalar constant to each single-precision floating-point strided array element and compute the sum using pairwise summation with extended accumulation. - [`sdsnansum( N, x, strideX )`][@stdlib/blas/ext/base/sdsnansum]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using extended accumulation. - [`sdsnansumpw( N, x, strideX )`][@stdlib/blas/ext/base/sdsnansumpw]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation with extended accumulation. - [`sdssum( N, x, strideX )`][@stdlib/blas/ext/base/sdssum]: calculate the sum of single-precision floating-point strided array elements using extended accumulation. - [`sdssumpw( N, x, strideX )`][@stdlib/blas/ext/base/sdssumpw]: calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation. - [`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, strideX )`][@stdlib/blas/ext/base/snansum]: calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values. - [`snansumkbn( N, x, strideX )`][@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, 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, 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. - [`ssorthp( N, order, x, stride )`][@stdlib/blas/ext/base/ssorthp]: sort a single-precision floating-point strided array using heapsort. - [`ssortins( N, order, x, stride )`][@stdlib/blas/ext/base/ssortins]: sort a single-precision floating-point strided array using insertion sort. - [`ssortsh( N, order, x, stride )`][@stdlib/blas/ext/base/ssortsh]: sort a single-precision floating-point strided array using Shellsort. - [`ssum( N, x, strideX )`][@stdlib/blas/ext/base/ssum]: calculate the sum of single-precision floating-point strided array elements. - [`ssumkbn( N, x, strideX )`][@stdlib/blas/ext/base/ssumkbn]: calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm. - [`ssumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/ssumkbn2]: calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm. - [`ssumors( N, x, strideX )`][@stdlib/blas/ext/base/ssumors]: calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation. - [`ssumpw( N, x, strideX )`][@stdlib/blas/ext/base/ssumpw]: calculate the sum of single-precision floating-point strided array elements using pairwise summation. - [`wasm`][@stdlib/blas/ext/base/wasm]: extensions to basic linear algebra subprograms (BLAS) compiled to WebAssembly. - [`zfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/zfill]: fill a double-precision complex floating-point strided array with a specified scalar constant. - [`zsum( N, x, strideX )`][@stdlib/blas/ext/base/zsum]: calculate the sum of double-precision complex floating-point strided array elements. - [`zsumkbn( N, x, strideX )`][@stdlib/blas/ext/base/zsumkbn]: calculate the sum of double-precision complex floating-point strided array elements using an improved Kahan–Babuška algorithm.

## Examples ```javascript var objectKeys = require( '@stdlib/utils-keys' ); var ns = require( '@stdlib/blas-ext-base' ); console.log( objectKeys( ns ) ); ```

* * * ## Notice This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more. For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib]. #### Community [![Chat][chat-image]][chat-url] --- ## License See [LICENSE][stdlib-license]. ## Copyright Copyright © 2016-2025. The Stdlib [Authors][stdlib-authors].

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Name: stdlib
Login: stdlib-js
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Website: https://stdlib.io
Twitter: stdlibjs
Repositories: 3,692
Profile: https://github.com/stdlib-js

Standard library for JavaScript.

Citation (CITATION.cff)

cff-version: 1.2.0
title: stdlib
message: >-
  If you use this software, please cite it using the
  metadata from this file.

type: software

authors:
  - name: The Stdlib Authors
    url: https://github.com/stdlib-js/stdlib/graphs/contributors

repository-code: https://github.com/stdlib-js/stdlib
url: https://stdlib.io

abstract: |
  Standard library for JavaScript and Node.js.

keywords:
  - JavaScript
  - Node.js
  - TypeScript
  - standard library
  - scientific computing
  - numerical computing
  - statistical computing

license: Apache-2.0 AND BSL-1.0

date-released: 2016

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Committers: 1
Avg Commits per committer: 12.0
Development Distribution Score (DDS): 0.0

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stdlib-bot	n**y@s**o	46

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Total packages: 1
Total downloads:
- npm 10 last-month

Total dependent packages: 2
Total dependent repositories: 1
Total versions: 12
Total maintainers: 4

npmjs.org: @stdlib/blas-ext-base

Extended base (i.e., lower-level) basic linear algebra subroutines (BLAS).

Homepage: https://stdlib.io
License: Apache-2.0
Latest release: 0.2.1
published almost 2 years ago

Versions: 12
Dependent Packages: 2
Dependent Repositories: 1
Downloads: 10 Last month

Rankings

Dependent packages count: 8.9%

Dependent repos count: 10.4%

Average: 14.9%

Forks count: 15.5%

Stargazers count: 16.8%

Downloads: 22.9%

Maintainers (4)

planeshifter rreusser stdlib-bot kgryte

Funding

type: opencollective
url: https://opencollective.com/stdlib

Last synced: 4 months ago

Dependencies

package.json npm

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@stdlib/blas-ext-base

Science Score: 44.0%

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README.md

Extended BLAS

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npmjs.org: @stdlib/blas-ext-base

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