?

Average Error: 0.22% → 0.21%
Time: 9.8s
Precision: binary64
Cost: 13120

?

\[\frac{1}{2} \cdot \left(x + y \cdot \sqrt{z}\right) \]
\[0.5 \cdot \mathsf{fma}\left(y, \sqrt{z}, x\right) \]
(FPCore (x y z) :precision binary64 (* (/ 1.0 2.0) (+ x (* y (sqrt z)))))
(FPCore (x y z) :precision binary64 (* 0.5 (fma y (sqrt z) x)))
double code(double x, double y, double z) {
	return (1.0 / 2.0) * (x + (y * sqrt(z)));
}
double code(double x, double y, double z) {
	return 0.5 * fma(y, sqrt(z), x);
}
function code(x, y, z)
	return Float64(Float64(1.0 / 2.0) * Float64(x + Float64(y * sqrt(z))))
end
function code(x, y, z)
	return Float64(0.5 * fma(y, sqrt(z), x))
end
code[x_, y_, z_] := N[(N[(1.0 / 2.0), $MachinePrecision] * N[(x + N[(y * N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_] := N[(0.5 * N[(y * N[Sqrt[z], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]
\frac{1}{2} \cdot \left(x + y \cdot \sqrt{z}\right)
0.5 \cdot \mathsf{fma}\left(y, \sqrt{z}, x\right)

Error?

Derivation?

  1. Initial program 0.22

    \[\frac{1}{2} \cdot \left(x + y \cdot \sqrt{z}\right) \]
  2. Simplified0.21

    \[\leadsto \color{blue}{0.5 \cdot \mathsf{fma}\left(y, \sqrt{z}, x\right)} \]
    Proof

    [Start]0.22

    \[ \frac{1}{2} \cdot \left(x + y \cdot \sqrt{z}\right) \]

    metadata-eval [=>]0.22

    \[ \color{blue}{0.5} \cdot \left(x + y \cdot \sqrt{z}\right) \]

    +-commutative [=>]0.22

    \[ 0.5 \cdot \color{blue}{\left(y \cdot \sqrt{z} + x\right)} \]

    fma-def [=>]0.21

    \[ 0.5 \cdot \color{blue}{\mathsf{fma}\left(y, \sqrt{z}, x\right)} \]
  3. Final simplification0.21

    \[\leadsto 0.5 \cdot \mathsf{fma}\left(y, \sqrt{z}, x\right) \]

Alternatives

Alternative 1
Error27.47%
Cost20104
\[\begin{array}{l} t_0 := y \cdot \sqrt{z}\\ \mathbf{if}\;t_0 \leq -5 \cdot 10^{-102}:\\ \;\;\;\;0.5 \cdot t_0\\ \mathbf{elif}\;t_0 \leq 2 \cdot 10^{-19}:\\ \;\;\;\;0.5 \cdot x\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5 \cdot y}{{z}^{-0.5}}\\ \end{array} \]
Alternative 2
Error27.47%
Cost20041
\[\begin{array}{l} t_0 := y \cdot \sqrt{z}\\ \mathbf{if}\;t_0 \leq -5 \cdot 10^{-102} \lor \neg \left(t_0 \leq 2 \cdot 10^{-19}\right):\\ \;\;\;\;0.5 \cdot t_0\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot x\\ \end{array} \]
Alternative 3
Error0.22%
Cost6848
\[0.5 \cdot \left(x + y \cdot \sqrt{z}\right) \]
Alternative 4
Error46.77%
Cost192
\[0.5 \cdot x \]

Error

Reproduce?

herbie shell --seed 2023090 
(FPCore (x y z)
  :name "Diagrams.Solve.Polynomial:quadForm from diagrams-solve-0.1, B"
  :precision binary64
  (* (/ 1.0 2.0) (+ x (* y (sqrt z)))))