?

Average Accuracy: 99.8% → 99.8%
Time: 7.6s
Precision: binary64
Cost: 6784

?

\[\left(x \cdot 3\right) \cdot y - z \]
\[\mathsf{fma}\left(x \cdot 3, y, -z\right) \]
(FPCore (x y z) :precision binary64 (- (* (* x 3.0) y) z))
(FPCore (x y z) :precision binary64 (fma (* x 3.0) y (- z)))
double code(double x, double y, double z) {
	return ((x * 3.0) * y) - z;
}
double code(double x, double y, double z) {
	return fma((x * 3.0), y, -z);
}
function code(x, y, z)
	return Float64(Float64(Float64(x * 3.0) * y) - z)
end
function code(x, y, z)
	return fma(Float64(x * 3.0), y, Float64(-z))
end
code[x_, y_, z_] := N[(N[(N[(x * 3.0), $MachinePrecision] * y), $MachinePrecision] - z), $MachinePrecision]
code[x_, y_, z_] := N[(N[(x * 3.0), $MachinePrecision] * y + (-z)), $MachinePrecision]
\left(x \cdot 3\right) \cdot y - z
\mathsf{fma}\left(x \cdot 3, y, -z\right)

Error?

Target

Original99.8%
Target99.7%
Herbie99.8%
\[x \cdot \left(3 \cdot y\right) - z \]

Derivation?

  1. Initial program 99.8%

    \[\left(x \cdot 3\right) \cdot y - z \]
  2. Simplified99.8%

    \[\leadsto \color{blue}{\mathsf{fma}\left(x \cdot 3, y, -z\right)} \]
    Proof

    [Start]99.8

    \[ \left(x \cdot 3\right) \cdot y - z \]

    fma-neg [=>]99.8

    \[ \color{blue}{\mathsf{fma}\left(x \cdot 3, y, -z\right)} \]
  3. Final simplification99.8%

    \[\leadsto \mathsf{fma}\left(x \cdot 3, y, -z\right) \]

Alternatives

Alternative 1
Accuracy72.6%
Cost584
\[\begin{array}{l} \mathbf{if}\;z \leq -3.4 \cdot 10^{-35}:\\ \;\;\;\;-z\\ \mathbf{elif}\;z \leq 8 \cdot 10^{-143}:\\ \;\;\;\;3 \cdot \left(x \cdot y\right)\\ \mathbf{else}:\\ \;\;\;\;-z\\ \end{array} \]
Alternative 2
Accuracy72.6%
Cost584
\[\begin{array}{l} \mathbf{if}\;z \leq -1.1 \cdot 10^{-40}:\\ \;\;\;\;-z\\ \mathbf{elif}\;z \leq 1.5 \cdot 10^{-142}:\\ \;\;\;\;\left(x \cdot 3\right) \cdot y\\ \mathbf{else}:\\ \;\;\;\;-z\\ \end{array} \]
Alternative 3
Accuracy99.7%
Cost448
\[x \cdot \left(3 \cdot y\right) - z \]
Alternative 4
Accuracy99.8%
Cost448
\[\left(x \cdot 3\right) \cdot y - z \]
Alternative 5
Accuracy57.7%
Cost128
\[-z \]

Error

Reproduce?

herbie shell --seed 2023133 
(FPCore (x y z)
  :name "Diagrams.Solve.Polynomial:cubForm  from diagrams-solve-0.1, B"
  :precision binary64

  :herbie-target
  (- (* x (* 3.0 y)) z)

  (- (* (* x 3.0) y) z))