| Alternative 1 | |
|---|---|
| Error | 55.9 |
| Cost | 452 |
\[\begin{array}{l}
\mathbf{if}\;x \leq -5 \cdot 10^{-310}:\\
\;\;\;\;x \cdot \left(x + x\right)\\
\mathbf{else}:\\
\;\;\;\;x + x\\
\end{array}
\]
(FPCore (x) :precision binary64 (sqrt (* 2.0 (pow x 2.0))))
(FPCore (x) :precision binary64 (hypot x x))
double code(double x) {
return sqrt((2.0 * pow(x, 2.0)));
}
double code(double x) {
return hypot(x, x);
}
public static double code(double x) {
return Math.sqrt((2.0 * Math.pow(x, 2.0)));
}
public static double code(double x) {
return Math.hypot(x, x);
}
def code(x): return math.sqrt((2.0 * math.pow(x, 2.0)))
def code(x): return math.hypot(x, x)
function code(x) return sqrt(Float64(2.0 * (x ^ 2.0))) end
function code(x) return hypot(x, x) end
function tmp = code(x) tmp = sqrt((2.0 * (x ^ 2.0))); end
function tmp = code(x) tmp = hypot(x, x); end
code[x_] := N[Sqrt[N[(2.0 * N[Power[x, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
code[x_] := N[Sqrt[x ^ 2 + x ^ 2], $MachinePrecision]
\sqrt{2 \cdot {x}^{2}}
\mathsf{hypot}\left(x, x\right)
Results
Initial program 30.0
Applied egg-rr30.4
Taylor expanded in x around 0 31.9
Simplified0.0
Final simplification0.0
| Alternative 1 | |
|---|---|
| Error | 55.9 |
| Cost | 452 |
| Alternative 2 | |
|---|---|
| Error | 56.9 |
| Cost | 192 |
| Alternative 3 | |
|---|---|
| Error | 62.9 |
| Cost | 64 |
herbie shell --seed 2022332
(FPCore (x)
:name "sqrt D (should all be same)"
:precision binary64
(sqrt (* 2.0 (pow x 2.0))))