Average Error: 0.5 → 0.1
Time: 34.3s
Precision: binary64
\[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\pi \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)}\]
↓
\[\frac{\frac{\frac{1 - \left(v \cdot v\right) \cdot 5}{1 - v \cdot v}}{\pi \cdot \sqrt{2 \cdot \left(1 - \left(v \cdot v\right) \cdot 3\right)}}}{t}\]
\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{\frac{1 - \left(v \cdot v\right) \cdot 5}{1 - v \cdot v}}{\pi \cdot \sqrt{2 \cdot \left(1 - \left(v \cdot v\right) \cdot 3\right)}}}{t}
(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)) (- 1.0 (* v v)))
   (* PI (sqrt (* 2.0 (- 1.0 (* (* v v) 3.0))))))
  t))
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)) / (1.0 - (v * v))) / (((double) M_PI) * sqrt(2.0 * (1.0 - ((v * v) * 3.0))))) / t;
}

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 0.5

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

  2. Simplified0.4

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

  4. Applied associate-/r*_binary64_17270.1

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

  5. Simplified0.1

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

  6. Final simplification0.1

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

Reproduce

herbie shell --seed 2021176 
(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)))))