npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

blas-dnrm2

v1.0.0

Published

Computes the L2 norm (Euclidean norm).

Downloads

17

Readme

dnrm2

NPM version Build Status Coverage Status Dependencies

Computes the L2 norm of x.

The L2 norm is defined as

Installation

$ npm install blas-dnrm2

Usage

var dnrm2 = require( 'blas-dnrm2' );

dnrm2( N, x, stride, offset )

Computes the L2 norm.

var x = [ -2, 1, 3, -5, 4, 0, -1, -3 ];

var nrm = dnrm2( x.length, x, 1, 0 );
// returns ~8.062

The function accepts the following parameters:

  • N: number of accessed elements.
  • x: input array or typed array.
  • stride: index increment.
  • offset: starting index.

The N, stride, and offset parameters determine which elements in x are accessed when computing the L2 norm. For example, to select every other value starting from the second element,

var x = [ -2, 1, 3, -5, 4, 0, -1, -3 ];

var N = Math.floor( x.length / 2 );
var stride = 2;
var offset = 1;

var nrm = dnrm2( N, x, stride, offset );
// returns ~5.916

If any of the following conditions are met

  • N < 0
  • stride <= 0
  • offset < 0

the function returns undefined. If N = 0, the function returns 0.

Notes

  • This module corresponds to the BLAS level 1 function dnrm2.

Examples

var dnrm2 = require( 'blas-dnrm2' );

var rand;
var sign;
var x;
var i;

x = new Float64Array( 100 );
for ( i = 0; i < x.length; i++ ) {
	rand = Math.round( Math.random() * 100 );
	sign = Math.random();
	if ( sign < 0.5 ) {
		sign = -1;
	} else {
		sign = 1;
	}
	x[ i ] = sign * rand;
}

console.log( dnrm2( x.length, x, 1, 0 ) );

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

$ node ./examples/index.js

References

  • Dahlquist, Germund and Bjorck, Ake. Numerical Methods in Scientific Computing.
  • Blue, James (1978) "A Portable Fortran Program To Find the Euclidean Norm of a Vector". ACM Transactions on Mathematical Software.
  • Higham, Nicholas J. Accuracy and Stability of Numerical Algorithms, Second Edition.

This module implements a one-pass algorithm proposed by S.J. Hammarling.


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.