@stdlib/constants-float32 NPM

Constants

Single-precision floating-point mathematical constants.

Installation

npm install @stdlib/constants-float32

Usage

var constants = require( '@stdlib/constants-float32' );

constants

Single-precision floating-point mathematical constants.

var c = constants;
// returns {...}

ABS_MASK: mask for excluding the sign bit of a single-precision floating-point number.
CBRT_EPS: cube root of single-precision floating-point epsilon.
EPS: difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.
EXPONENT_BIAS: the bias of a single-precision floating-point number's exponent.
EXPONENT_MASK: mask for the exponent of a single-precision floating-point number.
MAX_SAFE_INTEGER: maximum safe single-precision floating-point integer.
MAX: maximum single-precision floating-point number.
MIN_SAFE_INTEGER: minimum safe single-precision floating-point integer.
NAN: single-precision floating-point NaN.
NINF: single-precision floating-point negative infinity.
NUM_BYTES: size (in bytes) of a single-precision floating-point number.
PINF: single-precision floating-point positive infinity.
PRECISION: effective number of bits in the significand of a single-precision floating-point number.
SIGN_MASK: mask for the sign bit of a single-precision floating-point number.
SIGNIFICAND_MASK: mask for the significand of a single-precision floating-point number.
SMALLEST_NORMAL: smallest positive normalized single-precision floating-point number.
SMALLEST_SUBNORMAL: smallest positive denormalized single-precision floating-point number.
SQRT_EPS: square root of single-precision floating-point epsilon.

Examples

var objectKeys = require( '@stdlib/utils-keys' );
var constants = require( '@stdlib/constants-float32' );

console.log( objectKeys( constants ) );

Notice

This package is part of 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, see the main project repository.