?

Average Error: 0.02% → 0.02%
Time: 6.5s
Precision: binary64
Cost: 6848

?

\[\left(x \cdot 2 + x \cdot x\right) + y \cdot y \]
\[\mathsf{fma}\left(x, x + 2, y \cdot y\right) \]
(FPCore (x y) :precision binary64 (+ (+ (* x 2.0) (* x x)) (* y y)))
(FPCore (x y) :precision binary64 (fma x (+ x 2.0) (* y y)))
double code(double x, double y) {
	return ((x * 2.0) + (x * x)) + (y * y);
}
double code(double x, double y) {
	return fma(x, (x + 2.0), (y * y));
}
function code(x, y)
	return Float64(Float64(Float64(x * 2.0) + Float64(x * x)) + Float64(y * y))
end
function code(x, y)
	return fma(x, Float64(x + 2.0), Float64(y * y))
end
code[x_, y_] := N[(N[(N[(x * 2.0), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(y * y), $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(x * N[(x + 2.0), $MachinePrecision] + N[(y * y), $MachinePrecision]), $MachinePrecision]
\left(x \cdot 2 + x \cdot x\right) + y \cdot y
\mathsf{fma}\left(x, x + 2, y \cdot y\right)

Error?

Target

Original0.02%
Target0.02%
Herbie0.02%
\[y \cdot y + \left(2 \cdot x + x \cdot x\right) \]

Derivation?

  1. Initial program 0.02

    \[\left(x \cdot 2 + x \cdot x\right) + y \cdot y \]
  2. Simplified0.02

    \[\leadsto \color{blue}{\mathsf{fma}\left(x, x + 2, y \cdot y\right)} \]
    Proof

    [Start]0.02

    \[ \left(x \cdot 2 + x \cdot x\right) + y \cdot y \]

    distribute-lft-out [=>]0.02

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

    fma-def [=>]0.02

    \[ \color{blue}{\mathsf{fma}\left(x, 2 + x, y \cdot y\right)} \]

    +-commutative [=>]0.02

    \[ \mathsf{fma}\left(x, \color{blue}{x + 2}, y \cdot y\right) \]
  3. Final simplification0.02

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

Alternatives

Alternative 1
Error35.29%
Cost1248
\[\begin{array}{l} \mathbf{if}\;x \leq -4.5 \cdot 10^{-11}:\\ \;\;\;\;x \cdot x\\ \mathbf{elif}\;x \leq -5.7 \cdot 10^{-86}:\\ \;\;\;\;x + x\\ \mathbf{elif}\;x \leq -9.6 \cdot 10^{-144}:\\ \;\;\;\;y \cdot y\\ \mathbf{elif}\;x \leq -3.6 \cdot 10^{-187}:\\ \;\;\;\;x + x\\ \mathbf{elif}\;x \leq 9.5 \cdot 10^{-145}:\\ \;\;\;\;y \cdot y\\ \mathbf{elif}\;x \leq 2.7 \cdot 10^{-107}:\\ \;\;\;\;x + x\\ \mathbf{elif}\;x \leq 2.1 \cdot 10^{-49}:\\ \;\;\;\;y \cdot y\\ \mathbf{elif}\;x \leq 2:\\ \;\;\;\;x + x\\ \mathbf{else}:\\ \;\;\;\;x \cdot x\\ \end{array} \]
Alternative 2
Error5.89%
Cost713
\[\begin{array}{l} \mathbf{if}\;x \leq -140 \lor \neg \left(x \leq 9.6 \cdot 10^{-8}\right):\\ \;\;\;\;x \cdot \left(x + 2\right)\\ \mathbf{else}:\\ \;\;\;\;y \cdot y + x \cdot 2\\ \end{array} \]
Alternative 3
Error1.84%
Cost713
\[\begin{array}{l} \mathbf{if}\;x \leq -140 \lor \neg \left(x \leq 2\right):\\ \;\;\;\;y \cdot y + x \cdot x\\ \mathbf{else}:\\ \;\;\;\;y \cdot y + x \cdot 2\\ \end{array} \]
Alternative 4
Error15.26%
Cost580
\[\begin{array}{l} \mathbf{if}\;y \cdot y \leq 10^{-95}:\\ \;\;\;\;x \cdot \left(x + 2\right)\\ \mathbf{else}:\\ \;\;\;\;y \cdot y\\ \end{array} \]
Alternative 5
Error0.02%
Cost576
\[y \cdot y + x \cdot \left(x + 2\right) \]
Alternative 6
Error37.56%
Cost456
\[\begin{array}{l} \mathbf{if}\;x \leq -86000000:\\ \;\;\;\;x \cdot x\\ \mathbf{elif}\;x \leq 3.1 \cdot 10^{-7}:\\ \;\;\;\;y \cdot y\\ \mathbf{else}:\\ \;\;\;\;x \cdot x\\ \end{array} \]
Alternative 7
Error69.24%
Cost192
\[x \cdot x \]

Error

Reproduce?

herbie shell --seed 2023101 
(FPCore (x y)
  :name "Numeric.Log:$clog1p from log-domain-0.10.2.1, A"
  :precision binary64

  :herbie-target
  (+ (* y y) (+ (* 2.0 x) (* x x)))

  (+ (+ (* x 2.0) (* x x)) (* y y)))