stdlib-js/math-base-special-absf

C APIs for registering a Node-API module exporting an interface for invoking a unary numerical function.

Load a manifest for compiling source files.

Float32Array.

Uint32Array.

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

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

Round a numeric value to the nearest integer.

Uniformly distributed pseudorandom numbers between 0 and 1.

Wrap `require` in a try/catch block.

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.

Mask for excluding the sign bit of a single-precision floating-point number.

Return an unsigned 32-bit integer corresponding to the IEEE 754 binary representation of a single-precision floating-point number.

Single-precision floating-point negative infinity.

Single-precision floating-point positive infinity.

Test if a single-precision floating-point numeric value is positive zero.

Compute the absolute value for each element in a strided array.

Compute the absolute value for each element in a single-precision floating-point strided array.

Compute the absolute value for each element in a single-precision floating-point strided array according to a strided mask array.

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

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

Compute the absolute value.

Calculate the L2-norm of a single-precision floating-point vector.

Evaluate a rational function using single-precision floating-point arithmetic.

Base (i.e., lower-level) special math functions.

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

Compute the sum of absolute values (L1 norm).

Construct a Givens plane rotation.

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

Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point number.

Find the index of the first element having the maximum absolute value.

Compute the L2-norm of a complex single-precision floating-point vector.

Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point vector.