npm

Ready to take your JavaScript development to the next level? Meet npm Enterprise - the ultimate in enterprise JavaScript.Learn more »

blas-daxpy

1.0.3 • Public • Published

daxpy

NPM version Build Status Coverage Status Dependencies

Multiplies x and a constant alpha and adds the result to y.

Installation

$ npm install blas-daxpy

Usage

var daxpy = require( 'blas-daxpy' );

daxpy( N, alpha, x, strideX, offsetY, y, strideY, offsetY )

Multiplies x and a constant alpha and adds the result to y.

var x = [ 1, 2, 3, 4, 5 ];
var y = [ 1, 1, 1, 1, 1 ];
 
daxpy( x.length, 5, x, 1, 0, y, 1, 0 );
// y => [ 6, 11, 16, 21, 26 ]

The function accepts the following parameters:

  • N: number of indexed elements.
  • alpha: numeric constant.
  • x: input array or typed array.
  • strideX: index increment for x.
  • offsetX: starting index for x.
  • y: input array or typed array.
  • strideY: index increment for y.
  • offsetY: starting index for y.

The N, stride, and offset parameters determine which elements in x and y are accessed at runtime. For example, to multiply every other element of x starting from its second element by alpha and add the result to y starting from its last element,

var x = [ 1, 2, 3, 4, 5, 6 ];
var y = [ 1, 1, 1, 1, 1, 1 ];
 
var N = Math.floor( x.length / 2 );
 
daxpy( N, 5, x, 2, 1, y, -1, y.length-1 );
// y => [ 1, 1, 1, 31, 21, 11 ]

If N <= 0, the function returns undefined.

Notes

  • This module corresponds to the BLAS level 1 function daxpy.

Examples

var daxpy = require( 'blas-daxpy' );
 
var x;
var y;
var i;
 
= new Float64Array( 10 );
= new Float32Array( 10 );
for ( i = 0; i < x.length; i++ ) {
    x[ i ] = Math.round( Math.random() * 100 );
    y[ i ] = Math.round( Math.random() * 10 );
}
console.log( x );
console.log( y );
 
daxpy( x.length, 5, x, 1, 0, y, -1, y.length-1 );
console.log( y );

To run the example code from the top-level application directory,

$ node ./examples/index.js

Tests

Unit

This repository uses tape for unit tests. To run the tests, execute the following command in the top-level application directory:

$ make test

All new feature development should have corresponding unit tests to validate correct functionality.

Test Coverage

This repository uses Istanbul as its code coverage tool. To generate a test coverage report, execute the following command in the top-level application directory:

$ make test-cov

Istanbul creates a ./reports/coverage directory. To access an HTML version of the report,

$ make view-cov

Browser Support

This repository uses Testling for browser testing. To run the tests in a (headless) local web browser, execute the following command in the top-level application directory:

$ make test-browsers

To view the tests in a local web browser,

$ make view-browser-tests

License

MIT license.

Copyright

Copyright © 2016. The Compute.io Authors.

install

npm i blas-daxpy

Downloadsweekly downloads

6

version

1.0.3

license

MIT

homepage

github.com

repository

Gitgithub

last publish

collaborators

  • avatar
Report a vulnerability