Average Error: 0.2 → 0.1
Time: 1.5s
Precision: binary64
\[\left(x \cdot x\right) \cdot \left(3 - x \cdot 2\right)\]
\[\left(x \cdot x\right) \cdot 3 + 2 \cdot {\left(-x\right)}^{3}\]
\left(x \cdot x\right) \cdot \left(3 - x \cdot 2\right)
\left(x \cdot x\right) \cdot 3 + 2 \cdot {\left(-x\right)}^{3}
(FPCore (x) :precision binary64 (* (* x x) (- 3.0 (* x 2.0))))
(FPCore (x) :precision binary64 (+ (* (* x x) 3.0) (* 2.0 (pow (- x) 3.0))))
double code(double x) {
	return ((double) (((double) (x * x)) * ((double) (3.0 - ((double) (x * 2.0))))));
}
double code(double x) {
	return ((double) (((double) (((double) (x * x)) * 3.0)) + ((double) (2.0 * ((double) pow(((double) -(x)), 3.0))))));
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.2
Target0.2
Herbie0.1
\[x \cdot \left(x \cdot \left(3 - x \cdot 2\right)\right)\]

Derivation

  1. Initial program 0.2

    \[\left(x \cdot x\right) \cdot \left(3 - x \cdot 2\right)\]
  2. Using strategy rm
  3. Applied sub-neg_binary640.2

    \[\leadsto \left(x \cdot x\right) \cdot \color{blue}{\left(3 + \left(-x \cdot 2\right)\right)}\]
  4. Applied distribute-lft-in_binary640.2

    \[\leadsto \color{blue}{\left(x \cdot x\right) \cdot 3 + \left(x \cdot x\right) \cdot \left(-x \cdot 2\right)}\]
  5. Simplified0.1

    \[\leadsto \left(x \cdot x\right) \cdot 3 + \color{blue}{2 \cdot {\left(-x\right)}^{3}}\]
  6. Final simplification0.1

    \[\leadsto \left(x \cdot x\right) \cdot 3 + 2 \cdot {\left(-x\right)}^{3}\]

Reproduce

herbie shell --seed 2020205 
(FPCore (x)
  :name "Data.Spline.Key:interpolateKeys from smoothie-0.4.0.2"
  :precision binary64

  :herbie-target
  (* x (* x (- 3.0 (* x 2.0))))

  (* (* x x) (- 3.0 (* x 2.0))))