Average Error: 13.8 → 0.0
Time: 11.0s
Precision: binary64
\[\left(0 \leq b \land b \leq a\right) \land a \leq 1\]
\[\sqrt{\left|\frac{a \cdot a - b \cdot b}{a \cdot a}\right|} \]
\[\begin{array}{l} t_0 := {\left(\frac{b}{a}\right)}^{2}\\ t_1 := t_0 + 1\\ \sqrt{\left|t_1 \cdot \left(-1 + e^{\mathsf{log1p}\left(\frac{t_0 + -1}{t_1}\right)}\right)\right|} \end{array} \]
(FPCore (a b)
 :precision binary64
 (sqrt (fabs (/ (- (* a a) (* b b)) (* a a)))))
(FPCore (a b)
 :precision binary64
 (let* ((t_0 (pow (/ b a) 2.0)) (t_1 (+ t_0 1.0)))
   (sqrt (fabs (* t_1 (+ -1.0 (exp (log1p (/ (+ t_0 -1.0) t_1)))))))))
double code(double a, double b) {
	return sqrt(fabs((((a * a) - (b * b)) / (a * a))));
}
double code(double a, double b) {
	double t_0 = pow((b / a), 2.0);
	double t_1 = t_0 + 1.0;
	return sqrt(fabs((t_1 * (-1.0 + exp(log1p(((t_0 + -1.0) / t_1)))))));
}
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) {
	double t_0 = Math.pow((b / a), 2.0);
	double t_1 = t_0 + 1.0;
	return Math.sqrt(Math.abs((t_1 * (-1.0 + Math.exp(Math.log1p(((t_0 + -1.0) / t_1)))))));
}
def code(a, b):
	return math.sqrt(math.fabs((((a * a) - (b * b)) / (a * a))))
def code(a, b):
	t_0 = math.pow((b / a), 2.0)
	t_1 = t_0 + 1.0
	return math.sqrt(math.fabs((t_1 * (-1.0 + math.exp(math.log1p(((t_0 + -1.0) / t_1)))))))
function code(a, b)
	return sqrt(abs(Float64(Float64(Float64(a * a) - Float64(b * b)) / Float64(a * a))))
end
function code(a, b)
	t_0 = Float64(b / a) ^ 2.0
	t_1 = Float64(t_0 + 1.0)
	return sqrt(abs(Float64(t_1 * Float64(-1.0 + exp(log1p(Float64(Float64(t_0 + -1.0) / t_1)))))))
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_] := Block[{t$95$0 = N[Power[N[(b / a), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + 1.0), $MachinePrecision]}, N[Sqrt[N[Abs[N[(t$95$1 * N[(-1.0 + N[Exp[N[Log[1 + N[(N[(t$95$0 + -1.0), $MachinePrecision] / t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]]]
\sqrt{\left|\frac{a \cdot a - b \cdot b}{a \cdot a}\right|}
\begin{array}{l}
t_0 := {\left(\frac{b}{a}\right)}^{2}\\
t_1 := t_0 + 1\\
\sqrt{\left|t_1 \cdot \left(-1 + e^{\mathsf{log1p}\left(\frac{t_0 + -1}{t_1}\right)}\right)\right|}
\end{array}

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 13.8

    \[\sqrt{\left|\frac{a \cdot a - b \cdot b}{a \cdot a}\right|} \]
  2. Simplified13.8

    \[\leadsto \color{blue}{\sqrt{\left|\mathsf{fma}\left(b, \frac{b}{a \cdot a}, -1\right)\right|}} \]
  3. Applied egg-rr0.0

    \[\leadsto \sqrt{\left|\mathsf{fma}\left(b, \color{blue}{{\left(\frac{a}{\frac{b}{a}}\right)}^{-1}}, -1\right)\right|} \]
  4. Applied egg-rr0.0

    \[\leadsto \sqrt{\left|\color{blue}{\frac{{\left(\frac{b}{a}\right)}^{2} \cdot {\left(\frac{b}{a}\right)}^{2} - 1}{{\left(\frac{b}{a}\right)}^{2} - -1}}\right|} \]
  5. Applied egg-rr0.0

    \[\leadsto \sqrt{\left|\color{blue}{\left({\left(\frac{b}{a}\right)}^{2} + 1\right) \cdot \left(\left({\left(\frac{b}{a}\right)}^{2} + -1\right) \cdot \frac{1}{{\left(\frac{b}{a}\right)}^{2} + 1}\right)}\right|} \]
  6. Applied egg-rr0.0

    \[\leadsto \sqrt{\left|\left({\left(\frac{b}{a}\right)}^{2} + 1\right) \cdot \color{blue}{\left(e^{\mathsf{log1p}\left(\frac{{\left(\frac{b}{a}\right)}^{2} + -1}{{\left(\frac{b}{a}\right)}^{2} + 1}\right)} - 1\right)}\right|} \]
  7. Final simplification0.0

    \[\leadsto \sqrt{\left|\left({\left(\frac{b}{a}\right)}^{2} + 1\right) \cdot \left(-1 + e^{\mathsf{log1p}\left(\frac{{\left(\frac{b}{a}\right)}^{2} + -1}{{\left(\frac{b}{a}\right)}^{2} + 1}\right)}\right)\right|} \]

Reproduce

herbie shell --seed 2022209 
(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)))))