Average Error: 10.8 → 1.5
Time: 4.8s
Precision: binary64
\[x + \frac{y \cdot \left(z - t\right)}{a - t}\]
\[x + y \cdot \left(\frac{z}{a - t} - \frac{t}{a - t}\right)\]
x + \frac{y \cdot \left(z - t\right)}{a - t}
x + y \cdot \left(\frac{z}{a - t} - \frac{t}{a - t}\right)
double code(double x, double y, double z, double t, double a) {
	return ((double) (x + (((double) (y * ((double) (z - t)))) / ((double) (a - t)))));
}
double code(double x, double y, double z, double t, double a) {
	return ((double) (x + ((double) (y * ((double) ((z / ((double) (a - t))) - (t / ((double) (a - t)))))))));
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Bits error versus a

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original10.8
Target1.4
Herbie1.5
\[x + \frac{y}{\frac{a - t}{z - t}}\]

Derivation

  1. Initial program 10.8

    \[x + \frac{y \cdot \left(z - t\right)}{a - t}\]
  2. Simplified1.5

    \[\leadsto \color{blue}{x + y \cdot \frac{z - t}{a - t}}\]
  3. Using strategy rm
  4. Applied div-sub1.5

    \[\leadsto x + y \cdot \color{blue}{\left(\frac{z}{a - t} - \frac{t}{a - t}\right)}\]
  5. Final simplification1.5

    \[\leadsto x + y \cdot \left(\frac{z}{a - t} - \frac{t}{a - t}\right)\]

Reproduce

herbie shell --seed 2020196 
(FPCore (x y z t a)
  :name "Graphics.Rendering.Plot.Render.Plot.Axis:renderAxisTicks from plot-0.2.3.4, B"
  :precision binary64

  :herbie-target
  (+ x (/ y (/ (- a t) (- z t))))

  (+ x (/ (* y (- z t)) (- a t))))