Average Error: 0.1 → 0.1
Time: 2.8s
Precision: 64
\[\left(\left(x \cdot x + y \cdot y\right) + y \cdot y\right) + y \cdot y\]
↓
\[\mathsf{fma}\left({y}^{2}, 3, {x}^{2}\right)\]
\left(\left(x \cdot x + y \cdot y\right) + y \cdot y\right) + y \cdot y
↓
\mathsf{fma}\left({y}^{2}, 3, {x}^{2}\right)
double code(double x, double y) {
	return ((((x * x) + (y * y)) + (y * y)) + (y * y));
}
↓
double code(double x, double y) {
	return fma(pow(y, 2.0), 3.0, pow(x, 2.0));
}

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
\[x \cdot x + y \cdot \left(y + \left(y + y\right)\right)\]

Derivation

  1. Initial program 0.1

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

  3. Applied add-sqr-sqrt0.2

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

  4. Applied fma-def0.2

    \[\leadsto \color{blue}{\mathsf{fma}\left(\sqrt{\left(x \cdot x + y \cdot y\right) + y \cdot y}, \sqrt{\left(x \cdot x + y \cdot y\right) + y \cdot y}, y \cdot y\right)}\]

  5. Taylor expanded around 0 0.4

    \[\leadsto \color{blue}{{x}^{2} + \left({y}^{2} + {\left(\sqrt{2}\right)}^{2} \cdot {y}^{2}\right)}\]

  6. Simplified0.1

    \[\leadsto \color{blue}{\mathsf{fma}\left({y}^{2}, 3, {x}^{2}\right)}\]

  7. Final simplification0.1

    \[\leadsto \mathsf{fma}\left({y}^{2}, 3, {x}^{2}\right)\]

Reproduce

herbie shell --seed 2020049 +o rules:numerics
(FPCore (x y)
  :name "Linear.Quaternion:$c/ from linear-1.19.1.3, E"
  :precision binary64

  :herbie-target
  (+ (* x x) (* y (+ y (+ y y))))

  (+ (+ (+ (* x x) (* y y)) (* y y)) (* y y)))