Average Error: 0.0 → 0.0
Time: 1.6s
Precision: binary64
\[x + y \cdot \left(z + x\right) \]
\[\mathsf{fma}\left(y, x + z, x\right) \]
(FPCore (x y z) :precision binary64 (+ x (* y (+ z x))))
(FPCore (x y z) :precision binary64 (fma y (+ x z) x))
double code(double x, double y, double z) {
	return x + (y * (z + x));
}
double code(double x, double y, double z) {
	return fma(y, (x + z), x);
}
function code(x, y, z)
	return Float64(x + Float64(y * Float64(z + x)))
end
function code(x, y, z)
	return fma(y, Float64(x + z), x)
end
code[x_, y_, z_] := N[(x + N[(y * N[(z + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_] := N[(y * N[(x + z), $MachinePrecision] + x), $MachinePrecision]
x + y \cdot \left(z + x\right)
\mathsf{fma}\left(y, x + z, x\right)

Error

Derivation

  1. Initial program 0.0

    \[x + y \cdot \left(z + x\right) \]
  2. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(y, x + z, x\right)} \]
  3. Final simplification0.0

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

Reproduce

herbie shell --seed 2022210 
(FPCore (x y z)
  :name "Main:bigenough2 from A"
  :precision binary64
  (+ x (* y (+ z x))))