Average Error: 0.0 → 0.0
Time: 1.4s
Precision: binary64
\[200 \cdot \left(x - y\right)\]
↓
\[200 \cdot x + y \cdot -200\]
200 \cdot \left(x - y\right)
↓
200 \cdot x + y \cdot -200
(FPCore (x y) :precision binary64 (* 200.0 (- x y)))
↓
(FPCore (x y) :precision binary64 (+ (* 200.0 x) (* y -200.0)))
double code(double x, double y) {
	return 200.0 * (x - y);
}
↓
double code(double x, double y) {
	return (200.0 * x) + (y * -200.0);
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[200 \cdot \left(x - y\right)\]
  2. Using strategy rm

  3. Applied sub-neg_binary640.0

    \[\leadsto 200 \cdot \color{blue}{\left(x + \left(-y\right)\right)}\]

  4. Applied distribute-rgt-in_binary640.0

    \[\leadsto \color{blue}{x \cdot 200 + \left(-y\right) \cdot 200}\]

  5. Simplified0.0

    \[\leadsto \color{blue}{200 \cdot x} + \left(-y\right) \cdot 200\]

  6. Simplified0.0

    \[\leadsto 200 \cdot x + \color{blue}{y \cdot -200}\]

  7. Final simplification0.0

    \[\leadsto 200 \cdot x + y \cdot -200\]

Reproduce

herbie shell --seed 2020232 
(FPCore (x y)
  :name "Data.Colour.CIE:cieLABView from colour-2.3.3, C"
  :precision binary64
  (* 200.0 (- x y)))