Average Error: 0.1 → 0.1
Time: 5.5s
Precision: 64
\[\left(\left(x - \left(y + 0.5\right) \cdot \log y\right) + y\right) - z\]
\[x + \left(-\left(\left(\left(y + 0.5\right) \cdot \log y - y\right) + z\right)\right)\]
\left(\left(x - \left(y + 0.5\right) \cdot \log y\right) + y\right) - z
x + \left(-\left(\left(\left(y + 0.5\right) \cdot \log y - y\right) + z\right)\right)
double code(double x, double y, double z) {
	return (((x - ((y + 0.5) * log(y))) + y) - z);
}
double code(double x, double y, double z) {
	return (x + -((((y + 0.5) * log(y)) - y) + z));
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.1
Target0.1
Herbie0.1
\[\left(\left(y + x\right) - z\right) - \left(y + 0.5\right) \cdot \log y\]

Derivation

  1. Initial program 0.1

    \[\left(\left(x - \left(y + 0.5\right) \cdot \log y\right) + y\right) - z\]
  2. Using strategy rm
  3. Applied associate-+l-0.1

    \[\leadsto \color{blue}{\left(x - \left(\left(y + 0.5\right) \cdot \log y - y\right)\right)} - z\]
  4. Applied associate--l-0.1

    \[\leadsto \color{blue}{x - \left(\left(\left(y + 0.5\right) \cdot \log y - y\right) + z\right)}\]
  5. Using strategy rm
  6. Applied sub-neg0.1

    \[\leadsto \color{blue}{x + \left(-\left(\left(\left(y + 0.5\right) \cdot \log y - y\right) + z\right)\right)}\]
  7. Final simplification0.1

    \[\leadsto x + \left(-\left(\left(\left(y + 0.5\right) \cdot \log y - y\right) + z\right)\right)\]

Reproduce

herbie shell --seed 2020057 
(FPCore (x y z)
  :name "Numeric.SpecFunctions:stirlingError from math-functions-0.1.5.2"
  :precision binary64

  :herbie-target
  (- (- (+ y x) z) (* (+ y 0.5) (log y)))

  (- (+ (- x (* (+ y 0.5) (log y))) y) z))