M/M/1 Mean Queue Population traffic intensity rho Solver

            from math import *

def mm1_mean_queue_population_solve_a(c, b) -> float:
    return sqrt((b * c))

assert abs(mm1_mean_queue_population_solve_a(1.633333333333333, 0.3) - 0.7) < 1e-6 * max(1.0, abs(0.7))
          

            #include <assert.h>
#include <math.h>

double mm1_mean_queue_population_solve_a(double c, double b) {
    return sqrt((b * c));
}

int main(void) {
    const double expected = 0.7;
    const double actual = mm1_mean_queue_population_solve_a(1.633333333333333, 0.3);
    assert(fabs(actual - expected) < 1e-6 * fmax(1.0, fabs(expected)));
}
          

            #include <cassert>
#include <cmath>
#include <numbers>

double mm1_mean_queue_population_solve_a(double c, double b) {
    return std::sqrt((b * c));
}

int main() {
    constexpr double expected = 0.7;
    const double actual = mm1_mean_queue_population_solve_a(1.633333333333333, 0.3);
    assert(std::fabs(actual - expected) < 1e-6 * std::fmax(1.0, std::fabs(expected)));
}
          

x86-64 NASM · System V ABI · Linux · SSE2 with libm where required

            ; double mm1_mean_queue_population_solve_a(double c, double b)
; Linux x86-64 NASM · System V ABI · first eight doubles in xmm0–xmm7
global mm1_mean_queue_population_solve_a
section .text

mm1_mean_queue_population_solve_a:
    push rbp
    mov rbp, rsp
    sub rsp, 32
    movsd [rbp-8], xmm0
    movsd [rbp-16], xmm1
    movsd xmm0, [rbp-16]
    mulsd xmm0, [rbp-8]
    movsd [rbp-32], xmm0
    sqrtsd xmm0, [rbp-32]
    movsd [rbp-24], xmm0
    movsd xmm0, [rbp-24]
    leave
    ret
          

            function result = mm1_mean_queue_population_solve_a(c, b)
    result = sqrt((b * c));
end
          

            ClearAll[mwCalculate];
mwCalculate[c_, b_] := Sqrt[(b * c)];