Average Error: 0.1 → 0.1
Time: 3.2s
Precision: binary64
\[\left(x \cdot \log y - z\right) - y\]
↓
\[\left(x \cdot \log \left(\sqrt{y}\right) + x \cdot \log \left(\sqrt{y}\right)\right) - \left(y + z\right)\]
\left(x \cdot \log y - z\right) - y
↓
\left(x \cdot \log \left(\sqrt{y}\right) + x \cdot \log \left(\sqrt{y}\right)\right) - \left(y + z\right)
double code(double x, double y, double z) {
	return ((double) (((double) (((double) (x * ((double) log(y)))) - z)) - y));
}
↓
double code(double x, double y, double z) {
	return ((double) (((double) (((double) (x * ((double) log(((double) sqrt(y)))))) + ((double) (x * ((double) log(((double) sqrt(y)))))))) - ((double) (y + z))));
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

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Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.1

    \[\left(x \cdot \log y - z\right) - y\]

  2. Simplified0.1

    \[\leadsto \color{blue}{x \cdot \log y - \left(y + z\right)}\]
  3. Using strategy rm

  4. Applied add-sqr-sqrt0.1

    \[\leadsto x \cdot \log \color{blue}{\left(\sqrt{y} \cdot \sqrt{y}\right)} - \left(y + z\right)\]

  5. Applied log-prod0.1

    \[\leadsto x \cdot \color{blue}{\left(\log \left(\sqrt{y}\right) + \log \left(\sqrt{y}\right)\right)} - \left(y + z\right)\]

  6. Applied distribute-lft-in0.1

    \[\leadsto \color{blue}{\left(x \cdot \log \left(\sqrt{y}\right) + x \cdot \log \left(\sqrt{y}\right)\right)} - \left(y + z\right)\]

  7. Final simplification0.1

    \[\leadsto \left(x \cdot \log \left(\sqrt{y}\right) + x \cdot \log \left(\sqrt{y}\right)\right) - \left(y + z\right)\]

Reproduce

herbie shell --seed 2020182 
(FPCore (x y z)
  :name "Statistics.Distribution.Poisson:$clogProbability from math-functions-0.1.5.2"
  :precision binary64
  (- (- (* x (log y)) z) y))