?

Average Accuracy: 100.0% → 100.0%
Time: 2.6s
Precision: binary64
Cost: 7296

?

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

Error?

Derivation?

  1. Initial program 100.0%

    \[x \cdot y - z \cdot t \]
  2. Applied egg-rr100.0%

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

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

Alternatives

Alternative 1
Accuracy64.4%
Cost785
\[\begin{array}{l} \mathbf{if}\;x \leq -1.4 \cdot 10^{+223}:\\ \;\;\;\;x \cdot y\\ \mathbf{elif}\;x \leq -5.2 \cdot 10^{+194} \lor \neg \left(x \leq -5.4 \cdot 10^{-55}\right) \land x \leq 3.7 \cdot 10^{-156}:\\ \;\;\;\;z \cdot \left(-t\right)\\ \mathbf{else}:\\ \;\;\;\;x \cdot y\\ \end{array} \]
Alternative 2
Accuracy100.0%
Cost448
\[x \cdot y - z \cdot t \]
Alternative 3
Accuracy52.7%
Cost192
\[x \cdot y \]

Error

Reproduce?

herbie shell --seed 2023129 
(FPCore (x y z t)
  :name "Linear.V3:cross from linear-1.19.1.3"
  :precision binary64
  (- (* x y) (* z t)))