Average Error: 3.8 → 0.1
Time: 12.7s
Precision: binary64
\[\alpha > -1 \land \beta > -1\]
\[\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1}\]
↓
\[\frac{\left(\alpha + 1\right) \cdot \frac{\frac{1}{\frac{\left(\alpha + \beta\right) + 2}{1 + \beta}}}{\left(\alpha + \beta\right) + 2}}{\alpha + \left(\beta + 3\right)}\]
\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1}
↓
\frac{\left(\alpha + 1\right) \cdot \frac{\frac{1}{\frac{\left(\alpha + \beta\right) + 2}{1 + \beta}}}{\left(\alpha + \beta\right) + 2}}{\alpha + \left(\beta + 3\right)}
(FPCore (alpha beta)
 :precision binary64
 (/
  (/
   (/ (+ (+ (+ alpha beta) (* beta alpha)) 1.0) (+ (+ alpha beta) (* 2.0 1.0)))
   (+ (+ alpha beta) (* 2.0 1.0)))
  (+ (+ (+ alpha beta) (* 2.0 1.0)) 1.0)))
↓
(FPCore (alpha beta)
 :precision binary64
 (/
  (*
   (+ alpha 1.0)
   (/ (/ 1.0 (/ (+ (+ alpha beta) 2.0) (+ 1.0 beta))) (+ (+ alpha beta) 2.0)))
  (+ alpha (+ beta 3.0))))
double code(double alpha, double beta) {
	return (((((alpha + beta) + (beta * alpha)) + 1.0) / ((alpha + beta) + (2.0 * 1.0))) / ((alpha + beta) + (2.0 * 1.0))) / (((alpha + beta) + (2.0 * 1.0)) + 1.0);
}
↓
double code(double alpha, double beta) {
	return ((alpha + 1.0) * ((1.0 / (((alpha + beta) + 2.0) / (1.0 + beta))) / ((alpha + beta) + 2.0))) / (alpha + (beta + 3.0));
}

Error

Bits error versus alpha

Bits error versus beta

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 3.8

    \[\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1}\]

  2. Simplified2.2

    \[\leadsto \color{blue}{\frac{\left(\alpha + 1\right) \cdot \frac{\beta + 1}{\left(\left(\alpha + \beta\right) + 2\right) \cdot \left(\left(\alpha + \beta\right) + 2\right)}}{\alpha + \left(\beta + 3\right)}}\]
  3. Using strategy rm

  4. Applied associate-/r*_binary64_20450.1

    \[\leadsto \frac{\left(\alpha + 1\right) \cdot \color{blue}{\frac{\frac{\beta + 1}{\left(\alpha + \beta\right) + 2}}{\left(\alpha + \beta\right) + 2}}}{\alpha + \left(\beta + 3\right)}\]

  5. Simplified0.1

    \[\leadsto \frac{\left(\alpha + 1\right) \cdot \frac{\color{blue}{\frac{\beta + 1}{\left(\beta + \alpha\right) + 2}}}{\left(\alpha + \beta\right) + 2}}{\alpha + \left(\beta + 3\right)}\]
  6. Using strategy rm

  7. Applied clear-num_binary64_20980.1

    \[\leadsto \frac{\left(\alpha + 1\right) \cdot \frac{\color{blue}{\frac{1}{\frac{\left(\beta + \alpha\right) + 2}{\beta + 1}}}}{\left(\alpha + \beta\right) + 2}}{\alpha + \left(\beta + 3\right)}\]

  8. Simplified0.1

    \[\leadsto \frac{\left(\alpha + 1\right) \cdot \frac{\frac{1}{\color{blue}{\frac{\left(\alpha + \beta\right) + 2}{1 + \beta}}}}{\left(\alpha + \beta\right) + 2}}{\alpha + \left(\beta + 3\right)}\]

  9. Final simplification0.1

    \[\leadsto \frac{\left(\alpha + 1\right) \cdot \frac{\frac{1}{\frac{\left(\alpha + \beta\right) + 2}{1 + \beta}}}{\left(\alpha + \beta\right) + 2}}{\alpha + \left(\beta + 3\right)}\]

Reproduce

herbie shell --seed 2020281 
(FPCore (alpha beta)
  :name "Octave 3.8, jcobi/3"
  :precision binary64
  :pre (and (> alpha -1.0) (> beta -1.0))
  (/ (/ (/ (+ (+ (+ alpha beta) (* beta alpha)) 1.0) (+ (+ alpha beta) (* 2.0 1.0))) (+ (+ alpha beta) (* 2.0 1.0))) (+ (+ (+ alpha beta) (* 2.0 1.0)) 1.0)))