@stdlib/constants-float64-num-bytes
Size (in bytes) of a double-precision floating-point number.
Size (in bytes) of a double-precision floating-point number.
Effective number of bits in the significand of a double-precision floating-point number.
Square root of double-precision floating-point epsilon.
Maximum safe nth Lucas number when stored in double-precision floating-point format.
The minimum base 10 exponent for a normal double-precision floating-point number.
Convert a Node-API value to a single-precision floating-point array.
Convert a Node-API value representing a strided array to a single-precision complex floating-point array.
Convert a Node-API value representing a strided array to a single-precision floating-point array.
Convert a Node-API value to a single-precision complex floating-point number.
Convert a Node-API value to a single-precision complex floating-point array.
Convert a Node-API value to a single-precision floating-point number.
Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.
Calculate the cumulative sum of single-precision floating-point strided array elements.
Calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
Calculate the cumulative sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
Calculate the cumulative sum of single-precision floating-point strided array elements using ordinary recursive summation.
Calculate the cumulative sum of single-precision floating-point strided array elements using pairwise summation.
Adds a constant to each single-precision floating-point strided array element and computes the sum using extended accumulation.
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation.
Calculate the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.