| Alternative 1 | |
|---|---|
| Accuracy | 12.7% |
| Cost | 452 |
\[\begin{array}{l}
\mathbf{if}\;x \leq -4 \cdot 10^{-310}:\\
\;\;\;\;\left(x \cdot x\right) \cdot 2\\
\mathbf{else}:\\
\;\;\;\;x + x\\
\end{array}
\]
(FPCore (x) :precision binary64 (sqrt (+ (* x x) (* x x))))
(FPCore (x) :precision binary64 (hypot x x))
double code(double x) {
return sqrt(((x * x) + (x * x)));
}
double code(double x) {
return hypot(x, x);
}
public static double code(double x) {
return Math.sqrt(((x * x) + (x * x)));
}
public static double code(double x) {
return Math.hypot(x, x);
}
def code(x): return math.sqrt(((x * x) + (x * x)))
def code(x): return math.hypot(x, x)
function code(x) return sqrt(Float64(Float64(x * x) + Float64(x * x))) end
function code(x) return hypot(x, x) end
function tmp = code(x) tmp = sqrt(((x * x) + (x * x))); end
function tmp = code(x) tmp = hypot(x, x); end
code[x_] := N[Sqrt[N[(N[(x * x), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
code[x_] := N[Sqrt[x ^ 2 + x ^ 2], $MachinePrecision]
\sqrt{x \cdot x + x \cdot x}
\mathsf{hypot}\left(x, x\right)
Results
Initial program 57.4%
Simplified100.0%
[Start]57.4 | \[ \sqrt{x \cdot x + x \cdot x}
\] |
|---|---|
hypot-def [=>]100.0 | \[ \color{blue}{\mathsf{hypot}\left(x, x\right)}
\] |
Final simplification100.0%
| Alternative 1 | |
|---|---|
| Accuracy | 12.7% |
| Cost | 452 |
| Alternative 2 | |
|---|---|
| Accuracy | 12.7% |
| Cost | 324 |
| Alternative 3 | |
|---|---|
| Accuracy | 5.1% |
| Cost | 192 |
herbie shell --seed 2023157
(FPCore (x)
:name "sqrt A (should all be same)"
:precision binary64
(sqrt (+ (* x x) (* x x))))