?

Average Accuracy: 100.0% → 100.0%
Time: 2.4s
Precision: binary64
Cost: 6720

?

\[x - \left(y \cdot 4\right) \cdot z \]
\[\mathsf{fma}\left(z, y \cdot -4, x\right) \]
(FPCore (x y z) :precision binary64 (- x (* (* y 4.0) z)))
(FPCore (x y z) :precision binary64 (fma z (* y -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(z, (y * -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(z, Float64(y * -4.0), x)
end
code[x_, y_, z_] := N[(x - N[(N[(y * 4.0), $MachinePrecision] * z), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_] := N[(z * N[(y * -4.0), $MachinePrecision] + x), $MachinePrecision]
x - \left(y \cdot 4\right) \cdot z
\mathsf{fma}\left(z, y \cdot -4, x\right)

Error?

Derivation?

  1. Initial program 100.0%

    \[x - \left(y \cdot 4\right) \cdot z \]
  2. Simplified100.0%

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

    [Start]100.0

    \[ x - \left(y \cdot 4\right) \cdot z \]

    cancel-sign-sub-inv [=>]100.0

    \[ \color{blue}{x + \left(-y \cdot 4\right) \cdot z} \]

    +-commutative [=>]100.0

    \[ \color{blue}{\left(-y \cdot 4\right) \cdot z + x} \]

    *-commutative [=>]100.0

    \[ \color{blue}{z \cdot \left(-y \cdot 4\right)} + x \]

    fma-def [=>]100.0

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

    distribute-rgt-neg-in [=>]100.0

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

    metadata-eval [=>]100.0

    \[ \mathsf{fma}\left(z, y \cdot \color{blue}{-4}, x\right) \]
  3. Final simplification100.0%

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

Alternatives

Alternative 1
Accuracy73.6%
Cost1114
\[\begin{array}{l} \mathbf{if}\;x \leq -1.5 \cdot 10^{+169}:\\ \;\;\;\;x\\ \mathbf{elif}\;x \leq -2.1 \cdot 10^{+160} \lor \neg \left(x \leq -1.5 \cdot 10^{-6}\right) \land \left(x \leq -1.8 \cdot 10^{-26} \lor \neg \left(x \leq -7.6 \cdot 10^{-108}\right) \land x \leq 5.4 \cdot 10^{-52}\right):\\ \;\;\;\;-4 \cdot \left(z \cdot y\right)\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]
Alternative 2
Accuracy100.0%
Cost448
\[x + z \cdot \left(y \cdot -4\right) \]
Alternative 3
Accuracy57.8%
Cost64
\[x \]

Error

Reproduce?

herbie shell --seed 2023140 
(FPCore (x y z)
  :name "Diagrams.Solve.Polynomial:quadForm from diagrams-solve-0.1, A"
  :precision binary64
  (- x (* (* y 4.0) z)))