Float32Array Packages

Calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.

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

Calculate the standard deviation 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.

Test if a value is an array-like object supporting the accessor (get/set) protocol.

Test if a value is a collection.

Test if a value is an empty collection.

Interchanges two complex single-precision floating-point vectors.

Calculate the dot product with extended accumulation and result of two single-precision floating-point vectors.

Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant and add the result to a single-precision complex floating-point vector.

Copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.

Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant.

Apply a plane rotation.

Add elements from one collection to the end of another collection.

Add one or more elements to the beginning of a collection.

Remove and return the first element of a collection.

Add one or more elements to the end of a collection.

Remove and return the last element of a collection.

Add elements from one collection to the beginning of another collection.

Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.