Average Error: 61.6 → 2.8
Time: 22.0s
Precision: binary64
\[-\frac{1}{\frac{\pi}{4}} \cdot \log \left(\frac{e^{\frac{\pi}{4} \cdot f} + e^{-\frac{\pi}{4} \cdot f}}{e^{\frac{\pi}{4} \cdot f} - e^{-\frac{\pi}{4} \cdot f}}\right)\]
\[\frac{\log \left(\frac{4}{\pi \cdot f}\right) \cdot -4}{\pi}\]
-\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)
\frac{\log \left(\frac{4}{\pi \cdot f}\right) \cdot -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 (/ 4.0 (* PI f))) -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(4.0 / (((double) M_PI) * f)) * -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 61.6

    \[-\frac{1}{\frac{\pi}{4}} \cdot \log \left(\frac{e^{\frac{\pi}{4} \cdot f} + e^{-\frac{\pi}{4} \cdot f}}{e^{\frac{\pi}{4} \cdot f} - e^{-\frac{\pi}{4} \cdot f}}\right)\]
  2. Simplified61.6

    \[\leadsto \color{blue}{\log \left(\frac{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}{e^{\frac{\pi}{4} \cdot f} - {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}\right) \cdot \frac{-4}{\pi}}\]
  3. Taylor expanded around 0 2.9

    \[\leadsto \log \color{blue}{\left(\frac{2}{f \cdot \left(0.25 \cdot \pi - \pi \cdot \log \left(e^{-0.25}\right)\right)}\right)} \cdot \frac{-4}{\pi}\]
  4. Simplified2.9

    \[\leadsto \log \color{blue}{\left(\frac{2}{\pi \cdot \left(0.5 \cdot f\right)}\right)} \cdot \frac{-4}{\pi}\]
  5. Using strategy rm
  6. Applied associate-*r/_binary642.8

    \[\leadsto \color{blue}{\frac{\log \left(\frac{2}{\pi \cdot \left(0.5 \cdot f\right)}\right) \cdot -4}{\pi}}\]
  7. Simplified2.8

    \[\leadsto \frac{\color{blue}{\log \left(\frac{4}{\pi \cdot f}\right) \cdot -4}}{\pi}\]
  8. Final simplification2.8

    \[\leadsto \frac{\log \left(\frac{4}{\pi \cdot f}\right) \cdot -4}{\pi}\]

Reproduce

herbie shell --seed 2021007 
(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)))))))))