| Alternative 1 | |
|---|---|
| Error | 26.61% |
| Cost | 20041 |
\[\begin{array}{l}
t_0 := y \cdot \sqrt{z}\\
\mathbf{if}\;t_0 \leq -2 \cdot 10^{-42} \lor \neg \left(t_0 \leq 1\right):\\
\;\;\;\;0.5 \cdot t_0\\
\mathbf{else}:\\
\;\;\;\;0.5 \cdot x\\
\end{array}
\]
(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)
Initial program 0.22
Simplified0.22
[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 [=>]0.22 | \[ 0.5 \cdot \color{blue}{\mathsf{fma}\left(y, \sqrt{z}, x\right)}
\] |
Final simplification0.22
| Alternative 1 | |
|---|---|
| Error | 26.61% |
| Cost | 20041 |
| Alternative 2 | |
|---|---|
| Error | 0.22% |
| Cost | 6848 |
| Alternative 3 | |
|---|---|
| Error | 45.92% |
| Cost | 192 |
herbie shell --seed 2023115
(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)))))