Average Error: 0.1 → 0.1
Time: 2.7s
Precision: binary64
\[x + \frac{x - y}{2}\]
\[1.5 \cdot x - 0.5 \cdot y\]
x + \frac{x - y}{2}
1.5 \cdot x - 0.5 \cdot y
double code(double x, double y) {
	return ((double) (x + ((double) (((double) (x - y)) / 2.0))));
}
double code(double x, double y) {
	return ((double) (((double) (1.5 * x)) - ((double) (0.5 * y))));
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.1
Target0.1
Herbie0.1
\[1.5 \cdot x - 0.5 \cdot y\]

Derivation

  1. Initial program 0.1

    \[x + \frac{x - y}{2}\]
  2. Taylor expanded around 0 0.1

    \[\leadsto \color{blue}{1.5 \cdot x - 0.5 \cdot y}\]
  3. Final simplification0.1

    \[\leadsto 1.5 \cdot x - 0.5 \cdot y\]

Reproduce

herbie shell --seed 2020150 
(FPCore (x y)
  :name "Graphics.Rendering.Chart.Axis.Types:hBufferRect from Chart-1.5.3"
  :precision binary64

  :herbie-target
  (- (* 1.5 x) (* 0.5 y))

  (+ x (/ (- x y) 2.0)))