Double-precision floating-point mathematical constants.
JavaScript
2
0
Apache License 2.0
This project is a JavaScript library that provides a comprehensive collection of double-precision floating-point mathematical constants. It is part of the stdlib standard library, which is designed for numerical and scientific computing in web browsers and Node.js environments. The library is particularly useful for developers working on mathematical computations or applications that require precise floating-point operations.
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Support the dependencies of stdlib-js/constants-float64
Apéry's constant.
Catalan's constant.
Cube root of double-precision floating-point epsilon.
Euler's number.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
The Euler-Mascheroni constant.
The bias of a double-precision floating-point number's exponent.
1/4 times π.
Fourth root of double-precision floating-point epsilon.
Arbitrary constant `g` to be used in Lanczos approximation functions.
Glaisher-Kinkelin constant.
One half times the natural logarithm of 2.
1/2 times π.
High word mask for excluding the sign bit of a double-precision floating-point number.
High word mask for the exponent of a double-precision floating-point number.
High word mask for the sign bit of a double-precision floating-point number.
High word mask for the significand of a double-precision floating-point number.
Natural logarithm of 1/2.
Natural logarithm of π.
Natural logarithm of the square root of 2π.
Natural logarithm of 10.
Natural logarithm of 2.
Natural logarithm of 2π.
Base 10 logarithm of Euler's number.
Base 2 logarithm of Euler's number.
Maximum double-precision floating-point number.
The maximum base 10 exponent for a double-precision floating-point number.
The maximum base 10 exponent for a subnormal double-precision floating-point number.
The maximum biased base 2 exponent for a double-precision floating-point number.
The maximum biased base 2 exponent for a subnormal double-precision floating-point number.
Natural logarithm of the maximum double-precision floating-point number.
Maximum nth double factorial when stored in double-precision floating-point format.
Maximum nth factorial when stored in double-precision floating-point format.
Maximum safe Fibonacci number when stored in double-precision floating-point format.
Maximum safe double-precision floating-point integer.
Maximum safe Lucas number when stored in double-precision floating-point format.
Maximum safe nth double factorial when stored in double-precision floating-point format.
Maximum safe nth factorial when stored in double-precision floating-point format.
Maximum safe nth Fibonacci number when stored in double-precision floating-point format.
Maximum safe nth Lucas number when stored in double-precision floating-point format.
Maximum safe nth Tribonacci number when stored in double-precision floating-point format.
The minimum base 10 exponent for a normal double-precision floating-point number.
The minimum base 10 exponent for a subnormal double-precision floating-point number.
The minimum biased base 2 exponent for a normal double-precision floating-point number.
The minimum biased base 2 exponent for a subnormal double-precision floating-point number.
Natural logarithm of the smallest normalized double-precision floating-point number.
Minimum safe double-precision floating-point integer.
Double-precision floating-point NaN.
Double-precision floating-point negative infinity.
Size (in bytes) of a double-precision floating-point number.
Support the repos that depend on stdlib-js/constants-float64
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