Average Error: 0.0 → 0
Time: 1.1s
Precision: binary64
Cost: 6592
\[x + x \cdot x \]
\[\mathsf{fma}\left(x, x, x\right) \]
(FPCore (x) :precision binary64 (+ x (* x x)))
(FPCore (x) :precision binary64 (fma x x x))
double code(double x) {
	return x + (x * x);
}
double code(double x) {
	return fma(x, x, x);
}
function code(x)
	return Float64(x + Float64(x * x))
end
function code(x)
	return fma(x, x, x)
end
code[x_] := N[(x + N[(x * x), $MachinePrecision]), $MachinePrecision]
code[x_] := N[(x * x + x), $MachinePrecision]
x + x \cdot x
\mathsf{fma}\left(x, x, x\right)

Error

Derivation

  1. Initial program 0.0

    \[x + x \cdot x \]
  2. Simplified0

    \[\leadsto \color{blue}{\mathsf{fma}\left(x, x, x\right)} \]
  3. Final simplification0

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

Alternatives

Alternative 1
Error1.7
Cost456
\[\begin{array}{l} \mathbf{if}\;x \leq -10.370301521808003:\\ \;\;\;\;x \cdot x\\ \mathbf{elif}\;x \leq 2.6903770676420974 \cdot 10^{-8}:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;x \cdot x\\ \end{array} \]
Alternative 2
Error0.0
Cost320
\[x \cdot \left(x + 1\right) \]
Alternative 3
Error0.0
Cost320
\[x + x \cdot x \]
Alternative 4
Error21.3
Cost64
\[x \]

Error

Reproduce

herbie shell --seed 2022217 
(FPCore (x)
  :name "Main:bigenough1 from B"
  :precision binary64
  (+ x (* x x)))