stdlib-js/number-float64-base-to-fl...

Float32Array.

Double-precision floating-point negative infinity.

Double-precision floating-point positive infinity.

Test if a double-precision floating-point numeric value is NaN.

Test if a double-precision floating-point numeric value is negative zero.

Uniformly distributed pseudorandom numbers between 0 and 1.

Proxies nodejs require in order to allow overriding dependencies during testing.

tap-producing test harness for node and browsers

Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale

Minimal TAP output formatter.

Benchmark harness.

64-bit complex number.

Compute the principal square root of a single-precision floating-point number.

Compute the squared absolute value of a single-precision floating-point number.

Multiply two single-precision complex floating-point numbers.

Compute the reciprocal square root of a single-precision floating-point number.

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

Convert an angle from radians to degrees (single-precision).

Add two single-precision complex floating-point numbers.

Compute the multiplicative inverse of a single-precision floating-point number.

Calculate the sum of single-precision floating-point strided array elements using pairwise summation.

Convert an angle from degrees to radians (single-precision).

Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.

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

Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation.

Calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.

Calculate the dot product of two single-precision floating-point vectors.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.

Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.

Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.

Compute the hypotenuse avoiding overflow and underflow (single-precision).

Return a single-precision floating-point number with the magnitude of x and the sign of y.

Calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Adds a constant to each single-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.

Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation.

1/2 times π.

Calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.

Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.

Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

Multiply two single-precision floating-point numbers.

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

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.