Average Error: 0.0 → 0
Time: 1.8s
Precision: binary64
Cost: 6720
\[\left(x \cdot x + y\right) + y \]
↓
\[\mathsf{fma}\left(x, x, y + y\right) \]
(FPCore (x y) :precision binary64 (+ (+ (* x x) y) y))
↓
(FPCore (x y) :precision binary64 (fma x x (+ y y)))
double code(double x, double y) {
	return ((x * x) + y) + y;
}
↓
double code(double x, double y) {
	return fma(x, x, (y + y));
}

function code(x, y)
	return Float64(Float64(Float64(x * x) + y) + y)
end
↓
function code(x, y)
	return fma(x, x, Float64(y + y))
end

code[x_, y_] := N[(N[(N[(x * x), $MachinePrecision] + y), $MachinePrecision] + y), $MachinePrecision]
↓
code[x_, y_] := N[(x * x + N[(y + y), $MachinePrecision]), $MachinePrecision]

\left(x \cdot x + y\right) + y
↓
\mathsf{fma}\left(x, x, y + y\right)

Error

Target

Original0.0
Target0.0
Herbie0
\[\left(y + y\right) + x \cdot x \]

Derivation

  1. Initial program 0.0

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

  2. Applied egg-rr0

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

  3. Final simplification0

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

Alternatives

Alternative 1
Error11.2
Cost972
\[\begin{array}{l} \mathbf{if}\;x \cdot x \leq 3.568049874465215 \cdot 10^{+21}:\\ \;\;\;\;y \cdot 2\\ \mathbf{elif}\;x \cdot x \leq 1.1796383788578042 \cdot 10^{+125}:\\ \;\;\;\;x \cdot x\\ \mathbf{elif}\;x \cdot x \leq 1.387027967686682 \cdot 10^{+149}:\\ \;\;\;\;y \cdot 2\\ \mathbf{else}:\\ \;\;\;\;x \cdot x\\ \end{array} \]
Alternative 2
Error0.0
Cost448
\[y + \left(y + x \cdot x\right) \]
Alternative 3
Error41.7
Cost192
\[x \cdot x \]

Error

Reproduce

herbie shell --seed 2022300 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalTail from random-fu-0.2.6.2"
  :precision binary64

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

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