# Is there a faster way to calculate Abs[z]^2 numerically?

Here I'm not interested in accuracy (see 13614) but rather in raw speed. You'd think that for a complex machine-precision number z, calculating Abs[z]^2 should be faster than calculating Abs[z] because the latter requires a square root whereas the former does not. Yet it's not so:

s = RandomVariate[NormalDistribution[], {10^7, 2}].{1, I};
DeveloperPackedArrayQ[s]
(* True *)
Abs[s]^2; // AbsoluteTiming // First
(* 0.083337 *)
Abs[s]; // AbsoluteTiming // First
(* 0.033179 *)


This indicates that Abs[z]^2 is really calculated by summing the squares of real and imaginary parts, taking a square root (for Abs[z]), and then re-squaring (for Abs[z]^2).

Is there a faster way to compute Abs[z]^2? Is there a hidden equivalent to the GSL's gsl_complex_abs2 function? The source code of this GSL function is simply to return Re[z]^2+Im[z]^2; no fancy tricks.

• Here's an even slower way: (Re[#]^2 + Im[#]^2) & /@ s. And even slower still: Total[ReIm[#]^2] & /@ s – bill s May 10 at 14:24

There's InternalAbsSquare:

s = RandomVariate[NormalDistribution[], {10^7, 2}].{1, I};
foo = InternalAbsSquare[s]; // AbsoluteTiming // First
murf = Abs[s]^2; // AbsoluteTiming // First
(*
0.022909
0.063441
*)

foo == murf
(*  True  *)

• Ah yes precisely what I was looking for, many thanks Michael! Is there a repository of such tricks? – Roman May 10 at 14:25
• @Roman I was just looking. I thought there was a post about useful Internal  functions, but I couldn't find it just now. The context contains some useful numerical functions like Log1p and Expm1. StatisticsLibrary  also contains some nice, well-programmed functions. – Michael E2 May 10 at 14:31
• – Chris K May 10 at 14:31
• @ChrisK That must be it! Thanks. – Michael E2 May 10 at 14:32
• @CATrevillian I would have thought it was in the MKL (Intel Math Kernel Library), but I didn't find it there. I guess I don't know. – Michael E2 May 11 at 3:10