Average Error: 61.8 → 2.2
Time: 15.7s
Precision: binary64
\[-\frac{1}{\frac{\pi}{4}} \cdot \log \left(\frac{e^{\frac{\pi}{4} \cdot f} + e^{-\frac{\pi}{4} \cdot f}}{e^{\frac{\pi}{4} \cdot f} - e^{-\frac{\pi}{4} \cdot f}}\right)\]
↓
\[\left(\log \left(\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}\right) + \log \left(\frac{\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}}{0.005208333333333333 \cdot {\left(\pi \cdot f\right)}^{3} + \left(1.6276041666666666 \cdot 10^{-05} \cdot \left({\pi}^{5} \cdot {f}^{5}\right) + \left(\pi \cdot f\right) \cdot 0.5\right)}\right)\right) \cdot \frac{-4}{\pi}\]
-\frac{1}{\frac{\pi}{4}} \cdot \log \left(\frac{e^{\frac{\pi}{4} \cdot f} + e^{-\frac{\pi}{4} \cdot f}}{e^{\frac{\pi}{4} \cdot f} - e^{-\frac{\pi}{4} \cdot f}}\right)
↓
\left(\log \left(\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}\right) + \log \left(\frac{\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}}{0.005208333333333333 \cdot {\left(\pi \cdot f\right)}^{3} + \left(1.6276041666666666 \cdot 10^{-05} \cdot \left({\pi}^{5} \cdot {f}^{5}\right) + \left(\pi \cdot f\right) \cdot 0.5\right)}\right)\right) \cdot \frac{-4}{\pi}
(FPCore (f)
 :precision binary64
 (-
  (*
   (/ 1.0 (/ PI 4.0))
   (log
    (/
     (+ (exp (* (/ PI 4.0) f)) (exp (- (* (/ PI 4.0) f))))
     (- (exp (* (/ PI 4.0) f)) (exp (- (* (/ PI 4.0) f)))))))))
↓
(FPCore (f)
 :precision binary64
 (*
  (+
   (log (sqrt (+ (exp (* (/ PI 4.0) f)) (pow (exp -0.25) (* PI f)))))
   (log
    (/
     (sqrt (+ (exp (* (/ PI 4.0) f)) (pow (exp -0.25) (* PI f))))
     (+
      (* 0.005208333333333333 (pow (* PI f) 3.0))
      (+
       (* 1.6276041666666666e-05 (* (pow PI 5.0) (pow f 5.0)))
       (* (* PI f) 0.5))))))
  (/ -4.0 PI)))
double code(double f) {
	return -((1.0 / (((double) M_PI) / 4.0)) * log((exp((((double) M_PI) / 4.0) * f) + exp(-((((double) M_PI) / 4.0) * f))) / (exp((((double) M_PI) / 4.0) * f) - exp(-((((double) M_PI) / 4.0) * f)))));
}
↓
double code(double f) {
	return (log(sqrt(exp((((double) M_PI) / 4.0) * f) + pow(exp(-0.25), (((double) M_PI) * f)))) + log(sqrt(exp((((double) M_PI) / 4.0) * f) + pow(exp(-0.25), (((double) M_PI) * f))) / ((0.005208333333333333 * pow((((double) M_PI) * f), 3.0)) + ((1.6276041666666666e-05 * (pow(((double) M_PI), 5.0) * pow(f, 5.0))) + ((((double) M_PI) * f) * 0.5))))) * (-4.0 / ((double) M_PI));
}

Error

Bits error versus f

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 61.8

    \[-\frac{1}{\frac{\pi}{4}} \cdot \log \left(\frac{e^{\frac{\pi}{4} \cdot f} + e^{-\frac{\pi}{4} \cdot f}}{e^{\frac{\pi}{4} \cdot f} - e^{-\frac{\pi}{4} \cdot f}}\right)\]

  2. Simplified61.8

    \[\leadsto \color{blue}{\log \left(\frac{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}{e^{\frac{\pi}{4} \cdot f} - {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}\right) \cdot \frac{-4}{\pi}}\]

  3. Taylor expanded around 0 2.3

    \[\leadsto \log \left(\frac{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}{\color{blue}{0.005208333333333333 \cdot \left({f}^{3} \cdot {\pi}^{3}\right) + \left(1.6276041666666666 \cdot 10^{-05} \cdot \left({f}^{5} \cdot {\pi}^{5}\right) + 0.5 \cdot \left(f \cdot \pi\right)\right)}}\right) \cdot \frac{-4}{\pi}\]

  4. Simplified2.3

    \[\leadsto \log \left(\frac{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}{\color{blue}{0.005208333333333333 \cdot {\left(\pi \cdot f\right)}^{3} + \left(1.6276041666666666 \cdot 10^{-05} \cdot \left({f}^{5} \cdot {\pi}^{5}\right) + \left(\pi \cdot f\right) \cdot 0.5\right)}}\right) \cdot \frac{-4}{\pi}\]
  5. Using strategy rm

  6. Applied *-un-lft-identity_binary642.3

    \[\leadsto \log \left(\frac{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}{\color{blue}{1 \cdot \left(0.005208333333333333 \cdot {\left(\pi \cdot f\right)}^{3} + \left(1.6276041666666666 \cdot 10^{-05} \cdot \left({f}^{5} \cdot {\pi}^{5}\right) + \left(\pi \cdot f\right) \cdot 0.5\right)\right)}}\right) \cdot \frac{-4}{\pi}\]

  7. Applied add-sqr-sqrt_binary642.3

    \[\leadsto \log \left(\frac{\color{blue}{\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}} \cdot \sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}}}{1 \cdot \left(0.005208333333333333 \cdot {\left(\pi \cdot f\right)}^{3} + \left(1.6276041666666666 \cdot 10^{-05} \cdot \left({f}^{5} \cdot {\pi}^{5}\right) + \left(\pi \cdot f\right) \cdot 0.5\right)\right)}\right) \cdot \frac{-4}{\pi}\]

  8. Applied times-frac_binary642.3

    \[\leadsto \log \color{blue}{\left(\frac{\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}}{1} \cdot \frac{\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}}{0.005208333333333333 \cdot {\left(\pi \cdot f\right)}^{3} + \left(1.6276041666666666 \cdot 10^{-05} \cdot \left({f}^{5} \cdot {\pi}^{5}\right) + \left(\pi \cdot f\right) \cdot 0.5\right)}\right)} \cdot \frac{-4}{\pi}\]

  9. Applied log-prod_binary642.2

    \[\leadsto \color{blue}{\left(\log \left(\frac{\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}}{1}\right) + \log \left(\frac{\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}}{0.005208333333333333 \cdot {\left(\pi \cdot f\right)}^{3} + \left(1.6276041666666666 \cdot 10^{-05} \cdot \left({f}^{5} \cdot {\pi}^{5}\right) + \left(\pi \cdot f\right) \cdot 0.5\right)}\right)\right)} \cdot \frac{-4}{\pi}\]

  10. Simplified2.2

    \[\leadsto \left(\color{blue}{\log \left(\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}\right)} + \log \left(\frac{\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}}{0.005208333333333333 \cdot {\left(\pi \cdot f\right)}^{3} + \left(1.6276041666666666 \cdot 10^{-05} \cdot \left({f}^{5} \cdot {\pi}^{5}\right) + \left(\pi \cdot f\right) \cdot 0.5\right)}\right)\right) \cdot \frac{-4}{\pi}\]

  11. Simplified2.2

    \[\leadsto \left(\log \left(\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}\right) + \color{blue}{\log \left(\frac{\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}}{0.005208333333333333 \cdot {\left(\pi \cdot f\right)}^{3} + \left(1.6276041666666666 \cdot 10^{-05} \cdot \left({\pi}^{5} \cdot {f}^{5}\right) + \left(\pi \cdot f\right) \cdot 0.5\right)}\right)}\right) \cdot \frac{-4}{\pi}\]

  12. Final simplification2.2

    \[\leadsto \left(\log \left(\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}\right) + \log \left(\frac{\sqrt{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}}{0.005208333333333333 \cdot {\left(\pi \cdot f\right)}^{3} + \left(1.6276041666666666 \cdot 10^{-05} \cdot \left({\pi}^{5} \cdot {f}^{5}\right) + \left(\pi \cdot f\right) \cdot 0.5\right)}\right)\right) \cdot \frac{-4}{\pi}\]

Reproduce

herbie shell --seed 2020233 
(FPCore (f)
  :name "VandenBroeck and Keller, Equation (20)"
  :precision binary64
  (- (* (/ 1.0 (/ PI 4.0)) (log (/ (+ (exp (* (/ PI 4.0) f)) (exp (- (* (/ PI 4.0) f)))) (- (exp (* (/ PI 4.0) f)) (exp (- (* (/ PI 4.0) f)))))))))