Standard library fast math special functions.
JavaScript
4
0
Apache License 2.0
This project is a JavaScript library containing fast implementations of math special functions like absolute value, hyperbolic functions, and square roots. It's part of the stdlib standard library for numerical computing in JavaScript and Node.js. The library prioritizes performance over strict IEEE semantics and is intended for developers needing high-performance mathematical operations in web or Node.js environments.
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Support the dependencies of stdlib-js/math-base-special-fast
Compute an absolute value.
Compute the absolute value of a single-precision floating-point number.
Compute the hyperbolic arccosine of a number.
Compute the hypotenuse using the alpha max plus beta min algorithm.
Compute the hyperbolic arcsine of a number.
Compute the hyperbolic arctangent of a number.
Compute the hypotenuse.
Return the maximum value.
Return the minimum value.
Exponential function.
Compute an integer binary logarithm (base two).
Compute an integer square root.
Define a read-only property.
Insert array element values and the result of a callback function into a format string and print the result.
Difference between one and the smallest value greater than one that can be represented as a single-precision floating-point number.
Single-precision floating-point negative infinity.
Single-precision floating-point positive infinity.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Double-precision floating-point negative infinity.
Double-precision floating-point positive infinity.
Test if a double-precision floating-point numeric value is infinite.
Test if a single-precision floating-point numeric value is infinite.
Test if a double-precision floating-point numeric value is NaN.
Test if a single-precision floating-point numeric value is NaN.
Test if a double-precision floating-point numeric value is negative zero.
Test if a single-precision floating-point numeric value is negative zero.
Test if a double-precision floating-point numeric value is positive zero.
Test if a single-precision floating-point numeric value is positive zero.
Compute the absolute value of a double-precision floating-point number.
Round a double-precision floating-point number toward positive infinity.
Round a double-precision floating-point number toward negative infinity.
Compute the hypotenuse avoiding overflow and underflow.
Compute an absolute value of a signed 32-bit integer.
Evaluate the natural logarithm of a double-precision floating-point number.
Evaluate the natural logarithm of a single-precision floating-point number.
Binary logarithm (base 2).
Exponential function.
Round a numeric value to the nearest integer.
Round a double-precision floating-point number to the nearest multiple of 10^n.
Compute the principal square root of a double-precision floating-point number.
Compute the principal square root of a single-precision floating-point number.
Compute the number of representable single-precision floating-point values that separate two single-precision floating-point numbers along the real number line.
Convert a double-precision floating-point number to the nearest single-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Uniformly distributed pseudorandom numbers between 0 and 1.
Insert supplied variable values into a format string.
Define a non-enumerable read-only property.
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