Average Error: 0.0 → 0.0
Time: 3.9s
Precision: binary64
Cost: 6720
\[x - \left(y \cdot 4\right) \cdot z \]
\[\mathsf{fma}\left(y, z \cdot -4, x\right) \]
(FPCore (x y z) :precision binary64 (- x (* (* y 4.0) z)))
(FPCore (x y z) :precision binary64 (fma y (* z -4.0) x))
double code(double x, double y, double z) {
	return x - ((y * 4.0) * z);
}
double code(double x, double y, double z) {
	return fma(y, (z * -4.0), x);
}
function code(x, y, z)
	return Float64(x - Float64(Float64(y * 4.0) * z))
end
function code(x, y, z)
	return fma(y, Float64(z * -4.0), x)
end
code[x_, y_, z_] := N[(x - N[(N[(y * 4.0), $MachinePrecision] * z), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_] := N[(y * N[(z * -4.0), $MachinePrecision] + x), $MachinePrecision]
x - \left(y \cdot 4\right) \cdot z
\mathsf{fma}\left(y, z \cdot -4, x\right)

Error

Derivation

  1. Initial program 0.0

    \[x - \left(y \cdot 4\right) \cdot z \]
  2. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(y, z \cdot -4, x\right)} \]
    Proof

Alternatives

Alternative 1
Error15.9
Cost848
\[\begin{array}{l} t_0 := -4 \cdot \left(y \cdot z\right)\\ \mathbf{if}\;x \leq -1.35 \cdot 10^{-31}:\\ \;\;\;\;x\\ \mathbf{elif}\;x \leq -1.5 \cdot 10^{-55}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq -8.8 \cdot 10^{-89}:\\ \;\;\;\;x\\ \mathbf{elif}\;x \leq 1.85 \cdot 10^{-90}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]
Alternative 2
Error0.0
Cost448
\[x - \left(y \cdot 4\right) \cdot z \]
Alternative 3
Error26.6
Cost64
\[x \]

Error

Reproduce

herbie shell --seed 2023010 
(FPCore (x y z)
  :name "Diagrams.Solve.Polynomial:quadForm from diagrams-solve-0.1, A"
  :precision binary64
  (- x (* (* y 4.0) z)))