Average Error: 0.2 → 0.2
Time: 7.4s
Precision: binary64
Cost: 13184
\[0.954929658551372 \cdot x - 0.12900613773279798 \cdot \left(\left(x \cdot x\right) \cdot x\right) \]
\[\mathsf{fma}\left(x, 0.954929658551372, {x}^{3} \cdot -0.12900613773279798\right) \]
(FPCore (x)
 :precision binary64
 (- (* 0.954929658551372 x) (* 0.12900613773279798 (* (* x x) x))))
(FPCore (x)
 :precision binary64
 (fma x 0.954929658551372 (* (pow x 3.0) -0.12900613773279798)))
double code(double x) {
	return (0.954929658551372 * x) - (0.12900613773279798 * ((x * x) * x));
}
double code(double x) {
	return fma(x, 0.954929658551372, (pow(x, 3.0) * -0.12900613773279798));
}
function code(x)
	return Float64(Float64(0.954929658551372 * x) - Float64(0.12900613773279798 * Float64(Float64(x * x) * x)))
end
function code(x)
	return fma(x, 0.954929658551372, Float64((x ^ 3.0) * -0.12900613773279798))
end
code[x_] := N[(N[(0.954929658551372 * x), $MachinePrecision] - N[(0.12900613773279798 * N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_] := N[(x * 0.954929658551372 + N[(N[Power[x, 3.0], $MachinePrecision] * -0.12900613773279798), $MachinePrecision]), $MachinePrecision]
0.954929658551372 \cdot x - 0.12900613773279798 \cdot \left(\left(x \cdot x\right) \cdot x\right)
\mathsf{fma}\left(x, 0.954929658551372, {x}^{3} \cdot -0.12900613773279798\right)

Error

Derivation

  1. Initial program 0.2

    \[0.954929658551372 \cdot x - 0.12900613773279798 \cdot \left(\left(x \cdot x\right) \cdot x\right) \]
  2. Applied egg-rr0.2

    \[\leadsto \color{blue}{\mathsf{fma}\left(x, 0.954929658551372, {x}^{3} \cdot -0.12900613773279798\right)} \]
  3. Final simplification0.2

    \[\leadsto \mathsf{fma}\left(x, 0.954929658551372, {x}^{3} \cdot -0.12900613773279798\right) \]

Alternatives

Alternative 1
Error0.2
Cost6912
\[x \cdot 0.954929658551372 + {x}^{3} \cdot -0.12900613773279798 \]
Alternative 2
Error0.2
Cost576
\[x \cdot \left(0.954929658551372 + x \cdot \left(x \cdot -0.12900613773279798\right)\right) \]
Alternative 3
Error0.2
Cost576
\[x \cdot \left(0.954929658551372 + -0.12900613773279798 \cdot \left(x \cdot x\right)\right) \]
Alternative 4
Error16.5
Cost192
\[x \cdot 0.954929658551372 \]

Error

Reproduce

herbie shell --seed 2022308 
(FPCore (x)
  :name "Rosa's Benchmark"
  :precision binary64
  (- (* 0.954929658551372 x) (* 0.12900613773279798 (* (* x x) x))))