Average Error: 0.0 → 0.0
Time: 5.1s
Precision: binary64
Cost: 6848
\[x \cdot y + \left(1 - x\right) \cdot z \]
\[\mathsf{fma}\left(1 - x, z, x \cdot y\right) \]
(FPCore (x y z) :precision binary64 (+ (* x y) (* (- 1.0 x) z)))
(FPCore (x y z) :precision binary64 (fma (- 1.0 x) z (* x y)))
double code(double x, double y, double z) {
	return (x * y) + ((1.0 - x) * z);
}
double code(double x, double y, double z) {
	return fma((1.0 - x), z, (x * y));
}
function code(x, y, z)
	return Float64(Float64(x * y) + Float64(Float64(1.0 - x) * z))
end
function code(x, y, z)
	return fma(Float64(1.0 - x), z, Float64(x * y))
end
code[x_, y_, z_] := N[(N[(x * y), $MachinePrecision] + N[(N[(1.0 - x), $MachinePrecision] * z), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_] := N[(N[(1.0 - x), $MachinePrecision] * z + N[(x * y), $MachinePrecision]), $MachinePrecision]
x \cdot y + \left(1 - x\right) \cdot z
\mathsf{fma}\left(1 - x, z, x \cdot y\right)

Error

Derivation

  1. Initial program 0.0

    \[x \cdot y + \left(1 - x\right) \cdot z \]
  2. Applied egg-rr0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(1 - x, z, x \cdot y\right)} \]
  3. Final simplification0.0

    \[\leadsto \mathsf{fma}\left(1 - x, z, x \cdot y\right) \]

Alternatives

Alternative 1
Error23.8
Cost784
\[\begin{array}{l} t_0 := x \cdot \left(-z\right)\\ \mathbf{if}\;x \leq -3.2 \cdot 10^{+94}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq -142.35294720706634:\\ \;\;\;\;x \cdot y\\ \mathbf{elif}\;x \leq 6.465587340358282 \cdot 10^{-41}:\\ \;\;\;\;z\\ \mathbf{elif}\;x \leq 1.35 \cdot 10^{+133}:\\ \;\;\;\;x \cdot y\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 2
Error11.9
Cost584
\[\begin{array}{l} t_0 := x \cdot \left(-z\right)\\ \mathbf{if}\;x \leq -3.2 \cdot 10^{+94}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq 1.35 \cdot 10^{+133}:\\ \;\;\;\;z + x \cdot y\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 3
Error1.0
Cost584
\[\begin{array}{l} t_0 := x \cdot \left(y - z\right)\\ \mathbf{if}\;x \leq -6.626812523086677:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq 0.9427776562286103:\\ \;\;\;\;z + x \cdot y\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 4
Error1.0
Cost584
\[\begin{array}{l} \mathbf{if}\;x \leq -6.626812523086677:\\ \;\;\;\;x \cdot y - x \cdot z\\ \mathbf{elif}\;x \leq 0.9427776562286103:\\ \;\;\;\;z + x \cdot y\\ \mathbf{else}:\\ \;\;\;\;x \cdot \left(y - z\right)\\ \end{array} \]
Alternative 5
Error0.0
Cost576
\[\left(1 - x\right) \cdot z + x \cdot y \]
Alternative 6
Error24.0
Cost456
\[\begin{array}{l} \mathbf{if}\;x \leq -142.35294720706634:\\ \;\;\;\;x \cdot y\\ \mathbf{elif}\;x \leq 6.465587340358282 \cdot 10^{-41}:\\ \;\;\;\;z\\ \mathbf{else}:\\ \;\;\;\;x \cdot y\\ \end{array} \]
Alternative 7
Error0.0
Cost448
\[z + x \cdot \left(y - z\right) \]
Alternative 8
Error34.6
Cost64
\[z \]

Error

Reproduce

herbie shell --seed 2022297 
(FPCore (x y z)
  :name "Diagrams.Backend.Rasterific:$crender from diagrams-rasterific-1.3.1.3"
  :precision binary64
  (+ (* x y) (* (- 1.0 x) z)))