| Alternative 1 | |
|---|---|
| Accuracy | 100.0% |
| Cost | 6976 |
\[\sqrt{1 - \frac{\frac{b}{a}}{\frac{a}{b}}}
\]
(FPCore (a b) :precision binary64 (sqrt (fabs (/ (- (* a a) (* b b)) (* a a)))))
(FPCore (a b) :precision binary64 (exp (* (log1p (- (pow (/ b a) 2.0))) 0.5)))
double code(double a, double b) {
return sqrt(fabs((((a * a) - (b * b)) / (a * a))));
}
double code(double a, double b) {
return exp((log1p(-pow((b / a), 2.0)) * 0.5));
}
public static double code(double a, double b) {
return Math.sqrt(Math.abs((((a * a) - (b * b)) / (a * a))));
}
public static double code(double a, double b) {
return Math.exp((Math.log1p(-Math.pow((b / a), 2.0)) * 0.5));
}
def code(a, b): return math.sqrt(math.fabs((((a * a) - (b * b)) / (a * a))))
def code(a, b): return math.exp((math.log1p(-math.pow((b / a), 2.0)) * 0.5))
function code(a, b) return sqrt(abs(Float64(Float64(Float64(a * a) - Float64(b * b)) / Float64(a * a)))) end
function code(a, b) return exp(Float64(log1p(Float64(-(Float64(b / a) ^ 2.0))) * 0.5)) end
code[a_, b_] := N[Sqrt[N[Abs[N[(N[(N[(a * a), $MachinePrecision] - N[(b * b), $MachinePrecision]), $MachinePrecision] / N[(a * a), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]
code[a_, b_] := N[Exp[N[(N[Log[1 + (-N[Power[N[(b / a), $MachinePrecision], 2.0], $MachinePrecision])], $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision]
\sqrt{\left|\frac{a \cdot a - b \cdot b}{a \cdot a}\right|}
e^{\mathsf{log1p}\left(-{\left(\frac{b}{a}\right)}^{2}\right) \cdot 0.5}
Results
Initial program 82.0%
Simplified100.0%
[Start]82.0 | \[ \sqrt{\left|\frac{a \cdot a - b \cdot b}{a \cdot a}\right|}
\] |
|---|---|
div-sub [=>]82.0 | \[ \sqrt{\left|\color{blue}{\frac{a \cdot a}{a \cdot a} - \frac{b \cdot b}{a \cdot a}}\right|}
\] |
*-inverses [=>]82.0 | \[ \sqrt{\left|\color{blue}{1} - \frac{b \cdot b}{a \cdot a}\right|}
\] |
times-frac [=>]100.0 | \[ \sqrt{\left|1 - \color{blue}{\frac{b}{a} \cdot \frac{b}{a}}\right|}
\] |
Applied egg-rr100.0%
[Start]100.0 | \[ \sqrt{\left|1 - \frac{b}{a} \cdot \frac{b}{a}\right|}
\] |
|---|---|
pow1/2 [=>]100.0 | \[ \color{blue}{{\left(\left|1 - \frac{b}{a} \cdot \frac{b}{a}\right|\right)}^{0.5}}
\] |
pow-to-exp [=>]100.0 | \[ \color{blue}{e^{\log \left(\left|1 - \frac{b}{a} \cdot \frac{b}{a}\right|\right) \cdot 0.5}}
\] |
add-sqr-sqrt [=>]100.0 | \[ e^{\log \left(\left|\color{blue}{\sqrt{1 - \frac{b}{a} \cdot \frac{b}{a}} \cdot \sqrt{1 - \frac{b}{a} \cdot \frac{b}{a}}}\right|\right) \cdot 0.5}
\] |
fabs-sqr [=>]100.0 | \[ e^{\log \color{blue}{\left(\sqrt{1 - \frac{b}{a} \cdot \frac{b}{a}} \cdot \sqrt{1 - \frac{b}{a} \cdot \frac{b}{a}}\right)} \cdot 0.5}
\] |
add-sqr-sqrt [<=]100.0 | \[ e^{\log \color{blue}{\left(1 - \frac{b}{a} \cdot \frac{b}{a}\right)} \cdot 0.5}
\] |
sub-neg [=>]100.0 | \[ e^{\log \color{blue}{\left(1 + \left(-\frac{b}{a} \cdot \frac{b}{a}\right)\right)} \cdot 0.5}
\] |
log1p-def [=>]100.0 | \[ e^{\color{blue}{\mathsf{log1p}\left(-\frac{b}{a} \cdot \frac{b}{a}\right)} \cdot 0.5}
\] |
pow2 [=>]100.0 | \[ e^{\mathsf{log1p}\left(-\color{blue}{{\left(\frac{b}{a}\right)}^{2}}\right) \cdot 0.5}
\] |
Final simplification100.0%
| Alternative 1 | |
|---|---|
| Accuracy | 100.0% |
| Cost | 6976 |
| Alternative 2 | |
|---|---|
| Accuracy | 99.2% |
| Cost | 704 |
| Alternative 3 | |
|---|---|
| Accuracy | 98.2% |
| Cost | 64 |
herbie shell --seed 2023160
(FPCore (a b)
:name "Eccentricity of an ellipse"
:precision binary64
:pre (and (and (<= 0.0 b) (<= b a)) (<= a 1.0))
(sqrt (fabs (/ (- (* a a) (* b b)) (* a a)))))