stdlib-js/math-base-assert-is-nan

Load a manifest for compiling source files.

Test if a value is a boolean.

Boolean constructor.

Number constructor.

Uniformly distributed pseudorandom numbers between 0 and 1.

Wrap `require` in a try/catch block.

tap-producing test harness for node and browsers

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Minimal TAP output formatter.

Benchmark harness.

Evaluate the natural logarithm of a double-precision floating-point number.

Exponential function.

Natural exponential function.

Test if a value is NaN.

Evaluate the natural logarithm of 1+x.

Return the maximum value.

Gamma function.

Return the minimum value.

Round a double-precision floating-point number to the nearest multiple of 10^n.

Round a numeric value to the nearest integer.

Return a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.

Compute exp(x) - 1.

Natural logarithm of the gamma function.

Evaluate the signum function for a double-precision floating-point number.

Compute the arcsine of a double-precision floating-point number.

Compute a moving arithmetic mean incrementally.

Chi-square distributed pseudorandom numbers.

Beta function.

Multiply a double-precision floating-point number by an integer power of two.

Gamma distributed pseudorandom numbers.

Compute sin(πx).

Compute the cube root of a double-precision floating-point number.

A linear congruential pseudorandom number generator (LCG) whose output is shuffled.

Normal distribution cumulative distribution function (CDF).

Digamma function.

Uniformly distributed pseudorandom numbers.

Raised cosine distributed pseudorandom numbers.

Common logarithm (base ten).

Compute the arctangent of a double-precision floating-point number.

Inverse complementary error function.

Student's t-distributed pseudorandom numbers.

Compute the arccosine of a double-precision floating-point number.

Compute cos(πx).

Student's t distribution quantile function.

Degenerate distribution cumulative distribution function (CDF).

Normally distributed pseudorandom numbers.