| Alternative 1 | |
|---|---|
| Accuracy | 83.0% |
| Cost | 585 |
\[\begin{array}{l}
\mathbf{if}\;x \leq -0.00126 \lor \neg \left(x \leq 1.06 \cdot 10^{+64}\right):\\
\;\;\;\;y + x \cdot x\\
\mathbf{else}:\\
\;\;\;\;y + y\\
\end{array}
\]
(FPCore (x y) :precision binary64 (+ (+ (* x x) y) y))
(FPCore (x y) :precision binary64 (fma x x (+ y y)))
double code(double x, double y) {
return ((x * x) + y) + y;
}
double code(double x, double y) {
return fma(x, x, (y + y));
}
function code(x, y) return Float64(Float64(Float64(x * x) + y) + y) end
function code(x, y) return fma(x, x, Float64(y + y)) end
code[x_, y_] := N[(N[(N[(x * x), $MachinePrecision] + y), $MachinePrecision] + y), $MachinePrecision]
code[x_, y_] := N[(x * x + N[(y + y), $MachinePrecision]), $MachinePrecision]
\left(x \cdot x + y\right) + y
\mathsf{fma}\left(x, x, y + y\right)
| Original | 100.0% |
|---|---|
| Target | 100.0% |
| Herbie | 100.0% |
Initial program 100.0%
Simplified100.0%
[Start]100.0 | \[ \left(x \cdot x + y\right) + y
\] |
|---|---|
associate-+l+ [=>]100.0 | \[ \color{blue}{x \cdot x + \left(y + y\right)}
\] |
fma-def [=>]100.0 | \[ \color{blue}{\mathsf{fma}\left(x, x, y + y\right)}
\] |
Final simplification100.0%
| Alternative 1 | |
|---|---|
| Accuracy | 83.0% |
| Cost | 585 |
| Alternative 2 | |
|---|---|
| Accuracy | 40.6% |
| Cost | 456 |
| Alternative 3 | |
|---|---|
| Accuracy | 82.2% |
| Cost | 456 |
| Alternative 4 | |
|---|---|
| Accuracy | 100.0% |
| Cost | 448 |
| Alternative 5 | |
|---|---|
| Accuracy | 13.6% |
| Cost | 64 |
herbie shell --seed 2023147
(FPCore (x y)
:name "Data.Random.Distribution.Normal:normalTail from random-fu-0.2.6.2"
:precision binary64
:herbie-target
(+ (+ y y) (* x x))
(+ (+ (* x x) y) y))