@stdlib/number-float32-base-from-word
Create a single-precision floating-point number from an unsigned integer corresponding to an IEEE 754 binary representation.
Create a single-precision floating-point number from an unsigned integer corresponding to an IEEE 754 binary representation.
Return a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.
Find the index of the first element having the maximum absolute value.
Calculate the cumulative maximum of single-precision floating-point strided array elements.
Calculate the cumulative maximum absolute value of single-precision floating-point strided array elements.
Calculate the cumulative minimum of single-precision floating-point strided array elements.
Calculate the cumulative minimum absolute value of single-precision floating-point strided array elements.
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using extended accumulation.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation with extended accumulation.
Calculate the maximum value of a single-precision floating-point strided array.
Calculate the maximum absolute value of a single-precision floating-point strided array.
Calculate the maximum absolute value of a sorted single-precision floating-point strided array.
Calculate the maximum value of a sorted single-precision floating-point strided array.
Calculate the arithmetic mean of a single-precision floating-point strided array.
Calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.