Average Error: 0.4 → 0.4
Time: 5.2s
Precision: binary64
\[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\pi \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)}\]
↓
\[\frac{\frac{1 - \left(v \cdot v\right) \cdot 5}{\left(\pi \cdot t\right) \cdot \left(1 - v \cdot v\right)}}{\sqrt{2 + v \cdot \left(v \cdot -6\right)}}\]
\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\pi \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)}
↓
\frac{\frac{1 - \left(v \cdot v\right) \cdot 5}{\left(\pi \cdot t\right) \cdot \left(1 - v \cdot v\right)}}{\sqrt{2 + v \cdot \left(v \cdot -6\right)}}
(FPCore (v t)
 :precision binary64
 (/
  (- 1.0 (* 5.0 (* v v)))
  (* (* (* PI t) (sqrt (* 2.0 (- 1.0 (* 3.0 (* v v)))))) (- 1.0 (* v v)))))
↓
(FPCore (v t)
 :precision binary64
 (/
  (/ (- 1.0 (* (* v v) 5.0)) (* (* PI t) (- 1.0 (* v v))))
  (sqrt (+ 2.0 (* v (* v -6.0))))))
double code(double v, double t) {
	return (1.0 - (5.0 * (v * v))) / (((((double) M_PI) * t) * sqrt(2.0 * (1.0 - (3.0 * (v * v))))) * (1.0 - (v * v)));
}
↓
double code(double v, double t) {
	return ((1.0 - ((v * v) * 5.0)) / ((((double) M_PI) * t) * (1.0 - (v * v)))) / sqrt(2.0 + (v * (v * -6.0)));
}

Error

Bits error versus v

Bits error versus t

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.4

    \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\pi \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)}\]

  2. Simplified0.4

    \[\leadsto \color{blue}{\frac{1 - 5 \cdot \left(v \cdot v\right)}{\sqrt{2 + v \cdot \left(-6 \cdot v\right)} \cdot \left(\left(\pi \cdot t\right) \cdot \left(1 - v \cdot v\right)\right)}}\]
  3. Using strategy rm

  4. Applied *-un-lft-identity_binary640.4

    \[\leadsto \frac{\color{blue}{1 \cdot \left(1 - 5 \cdot \left(v \cdot v\right)\right)}}{\sqrt{2 + v \cdot \left(-6 \cdot v\right)} \cdot \left(\left(\pi \cdot t\right) \cdot \left(1 - v \cdot v\right)\right)}\]

  5. Applied times-frac_binary640.5

    \[\leadsto \color{blue}{\frac{1}{\sqrt{2 + v \cdot \left(-6 \cdot v\right)}} \cdot \frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\pi \cdot t\right) \cdot \left(1 - v \cdot v\right)}}\]

  6. Simplified0.5

    \[\leadsto \color{blue}{\frac{1}{\sqrt{2 + v \cdot \left(v \cdot -6\right)}}} \cdot \frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\pi \cdot t\right) \cdot \left(1 - v \cdot v\right)}\]

  7. Simplified0.5

    \[\leadsto \frac{1}{\sqrt{2 + v \cdot \left(v \cdot -6\right)}} \cdot \color{blue}{\frac{1 - \left(v \cdot v\right) \cdot 5}{\left(\pi \cdot t\right) \cdot \left(1 - v \cdot v\right)}}\]
  8. Using strategy rm

  9. Applied associate-*l/_binary640.4

    \[\leadsto \color{blue}{\frac{1 \cdot \frac{1 - \left(v \cdot v\right) \cdot 5}{\left(\pi \cdot t\right) \cdot \left(1 - v \cdot v\right)}}{\sqrt{2 + v \cdot \left(v \cdot -6\right)}}}\]

  10. Simplified0.4

    \[\leadsto \frac{\color{blue}{\frac{1 - \left(v \cdot v\right) \cdot 5}{\left(\pi \cdot t\right) \cdot \left(1 - v \cdot v\right)}}}{\sqrt{2 + v \cdot \left(v \cdot -6\right)}}\]

  11. Final simplification0.4

    \[\leadsto \frac{\frac{1 - \left(v \cdot v\right) \cdot 5}{\left(\pi \cdot t\right) \cdot \left(1 - v \cdot v\right)}}{\sqrt{2 + v \cdot \left(v \cdot -6\right)}}\]

Reproduce

herbie shell --seed 2020253 
(FPCore (v t)
  :name "Falkner and Boettcher, Equation (20:1,3)"
  :precision binary64
  (/ (- 1.0 (* 5.0 (* v v))) (* (* (* PI t) (sqrt (* 2.0 (- 1.0 (* 3.0 (* v v)))))) (- 1.0 (* v v)))))