项目作者: stdlib-js

项目描述 :
Square root of the golden ratio.
高级语言: JavaScript
项目地址: git://github.com/stdlib-js/constants-float64-sqrt-phi.git
创建时间: 2021-06-08T13:51:01Z
项目社区:https://github.com/stdlib-js/constants-float64-sqrt-phi

开源协议:Apache License 2.0

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SQRT_PHI

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]

Square root of the [Golden ratio][@stdlib/constants/float64/phi] (φ).



## Installation

bash npm install @stdlib/constants-float64-sqrt-phi

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 SQRT_PHI = require( '@stdlib/constants-float64-sqrt-phi' );

#### SQRT_PHI

Square root of the [golden ratio][@stdlib/constants/float64/phi].

javascript var bool = ( SQRT_PHI === 1.272019649514069 ); // returns true



## Examples





javascript var SQRT_PHI = require( '@stdlib/constants-float64-sqrt-phi' ); console.log( SQRT_PHI ); // => 1.272019649514069




## C APIs







### Usage

c #include "stdlib/constants/float64/sqrt_phi.h"

#### STDLIB_CONSTANT_FLOAT64_SQRT_PHI

Macro for the square root of the [golden ratio][@stdlib/constants/float64/phi].







*

## 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 © 2016-2024. The Stdlib [Authors][stdlib-authors].