Average Error: 14.3 → 0.2
Time: 21.2s
Precision: 64
\[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\]
\[\frac{0.5 \cdot \frac{\frac{\pi}{a}}{b}}{b + a}\]
\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)
\frac{0.5 \cdot \frac{\frac{\pi}{a}}{b}}{b + a}
double f(double a, double b) {
        double r51441 = atan2(1.0, 0.0);
        double r51442 = 2.0;
        double r51443 = r51441 / r51442;
        double r51444 = 1.0;
        double r51445 = b;
        double r51446 = r51445 * r51445;
        double r51447 = a;
        double r51448 = r51447 * r51447;
        double r51449 = r51446 - r51448;
        double r51450 = r51444 / r51449;
        double r51451 = r51443 * r51450;
        double r51452 = r51444 / r51447;
        double r51453 = r51444 / r51445;
        double r51454 = r51452 - r51453;
        double r51455 = r51451 * r51454;
        return r51455;
}

double f(double a, double b) {
        double r51456 = 0.5;
        double r51457 = atan2(1.0, 0.0);
        double r51458 = a;
        double r51459 = r51457 / r51458;
        double r51460 = b;
        double r51461 = r51459 / r51460;
        double r51462 = r51456 * r51461;
        double r51463 = r51460 + r51458;
        double r51464 = r51462 / r51463;
        return r51464;
}

Error

Bits error versus a

Bits error versus b

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 14.3

    \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\]
  2. Using strategy rm
  3. Applied difference-of-squares9.4

    \[\leadsto \left(\frac{\pi}{2} \cdot \frac{1}{\color{blue}{\left(b + a\right) \cdot \left(b - a\right)}}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\]
  4. Applied *-un-lft-identity9.4

    \[\leadsto \left(\frac{\pi}{2} \cdot \frac{\color{blue}{1 \cdot 1}}{\left(b + a\right) \cdot \left(b - a\right)}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\]
  5. Applied times-frac9.0

    \[\leadsto \left(\frac{\pi}{2} \cdot \color{blue}{\left(\frac{1}{b + a} \cdot \frac{1}{b - a}\right)}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\]
  6. Applied associate-*r*9.0

    \[\leadsto \color{blue}{\left(\left(\frac{\pi}{2} \cdot \frac{1}{b + a}\right) \cdot \frac{1}{b - a}\right)} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\]
  7. Simplified8.9

    \[\leadsto \left(\color{blue}{\frac{\frac{\pi}{2}}{b + a}} \cdot \frac{1}{b - a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\]
  8. Using strategy rm
  9. Applied associate-*l/8.9

    \[\leadsto \color{blue}{\frac{\frac{\pi}{2} \cdot \frac{1}{b - a}}{b + a}} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\]
  10. Applied associate-*l/0.3

    \[\leadsto \color{blue}{\frac{\left(\frac{\pi}{2} \cdot \frac{1}{b - a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b + a}}\]
  11. Taylor expanded around 0 0.2

    \[\leadsto \frac{\color{blue}{0.5 \cdot \frac{\pi}{a \cdot b}}}{b + a}\]
  12. Using strategy rm
  13. Applied associate-/r*0.2

    \[\leadsto \frac{0.5 \cdot \color{blue}{\frac{\frac{\pi}{a}}{b}}}{b + a}\]
  14. Final simplification0.2

    \[\leadsto \frac{0.5 \cdot \frac{\frac{\pi}{a}}{b}}{b + a}\]

Reproduce

herbie shell --seed 2019326 +o rules:numerics
(FPCore (a b)
  :name "NMSE Section 6.1 mentioned, B"
  :precision binary64
  (* (* (/ PI 2) (/ 1 (- (* b b) (* a a)))) (- (/ 1 a) (/ 1 b))))