NMSE Section 6.1 mentioned, B

Percentage Accurate: 78.4% → 99.6%
Time: 10.9s
Alternatives: 10
Speedup: 1.9×

Specification

?
\[\begin{array}{l} \\ \left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \end{array} \]
(FPCore (a b)
 :precision binary64
 (* (* (/ PI 2.0) (/ 1.0 (- (* b b) (* a a)))) (- (/ 1.0 a) (/ 1.0 b))))
double code(double a, double b) {
	return ((((double) M_PI) / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
}
public static double code(double a, double b) {
	return ((Math.PI / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
}
def code(a, b):
	return ((math.pi / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b))
function code(a, b)
	return Float64(Float64(Float64(pi / 2.0) * Float64(1.0 / Float64(Float64(b * b) - Float64(a * a)))) * Float64(Float64(1.0 / a) - Float64(1.0 / b)))
end
function tmp = code(a, b)
	tmp = ((pi / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
end
code[a_, b_] := N[(N[(N[(Pi / 2.0), $MachinePrecision] * N[(1.0 / N[(N[(b * b), $MachinePrecision] - N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / a), $MachinePrecision] - N[(1.0 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)
\end{array}

Sampling outcomes in binary64 precision:

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 10 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 78.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \end{array} \]
(FPCore (a b)
 :precision binary64
 (* (* (/ PI 2.0) (/ 1.0 (- (* b b) (* a a)))) (- (/ 1.0 a) (/ 1.0 b))))
double code(double a, double b) {
	return ((((double) M_PI) / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
}
public static double code(double a, double b) {
	return ((Math.PI / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
}
def code(a, b):
	return ((math.pi / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b))
function code(a, b)
	return Float64(Float64(Float64(pi / 2.0) * Float64(1.0 / Float64(Float64(b * b) - Float64(a * a)))) * Float64(Float64(1.0 / a) - Float64(1.0 / b)))
end
function tmp = code(a, b)
	tmp = ((pi / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
end
code[a_, b_] := N[(N[(N[(Pi / 2.0), $MachinePrecision] * N[(1.0 / N[(N[(b * b), $MachinePrecision] - N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / a), $MachinePrecision] - N[(1.0 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)
\end{array}

Alternative 1: 99.6% accurate, 1.6× speedup?

\[\begin{array}{l} \\ \left(0.5 \cdot \pi\right) \cdot \frac{\frac{1}{a + b}}{a \cdot b} \end{array} \]
(FPCore (a b) :precision binary64 (* (* 0.5 PI) (/ (/ 1.0 (+ a b)) (* a b))))
double code(double a, double b) {
	return (0.5 * ((double) M_PI)) * ((1.0 / (a + b)) / (a * b));
}
public static double code(double a, double b) {
	return (0.5 * Math.PI) * ((1.0 / (a + b)) / (a * b));
}
def code(a, b):
	return (0.5 * math.pi) * ((1.0 / (a + b)) / (a * b))
function code(a, b)
	return Float64(Float64(0.5 * pi) * Float64(Float64(1.0 / Float64(a + b)) / Float64(a * b)))
end
function tmp = code(a, b)
	tmp = (0.5 * pi) * ((1.0 / (a + b)) / (a * b));
end
code[a_, b_] := N[(N[(0.5 * Pi), $MachinePrecision] * N[(N[(1.0 / N[(a + b), $MachinePrecision]), $MachinePrecision] / N[(a * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\left(0.5 \cdot \pi\right) \cdot \frac{\frac{1}{a + b}}{a \cdot b}
\end{array}
Derivation
  1. Initial program 82.2%

    \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
  2. Step-by-step derivation
    1. associate-*l*82.1%

      \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
    2. *-rgt-identity82.1%

      \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
    3. associate-/l*82.1%

      \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
    4. metadata-eval82.1%

      \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
    5. associate-*l/82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
    6. *-lft-identity82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
    7. sub-neg82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
    8. distribute-neg-frac82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
    9. metadata-eval82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
  3. Simplified82.2%

    \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
  4. Add Preprocessing
  5. Step-by-step derivation
    1. metadata-eval82.2%

      \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
    2. div-inv82.2%

      \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
    3. *-commutative82.2%

      \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
    4. clear-num82.1%

      \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
    5. frac-times82.2%

      \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
    6. *-un-lft-identity82.2%

      \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
    7. frac-add82.2%

      \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
    8. associate-/r/82.2%

      \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
    9. *-un-lft-identity82.2%

      \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    10. *-commutative82.2%

      \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    11. neg-mul-182.2%

      \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    12. sub-neg82.2%

      \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    13. flip-+99.3%

      \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    14. +-commutative99.3%

      \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
  6. Applied egg-rr99.3%

    \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
  7. Step-by-step derivation
    1. *-commutative99.3%

      \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
    2. associate-/r*99.3%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
  8. Simplified99.3%

    \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
  9. Step-by-step derivation
    1. associate-/r*99.6%

      \[\leadsto \color{blue}{\frac{\frac{\frac{\pi}{2}}{a + b}}{a \cdot b}} \]
    2. div-inv99.6%

      \[\leadsto \frac{\frac{\color{blue}{\pi \cdot \frac{1}{2}}}{a + b}}{a \cdot b} \]
    3. metadata-eval99.6%

      \[\leadsto \frac{\frac{\pi \cdot \color{blue}{0.5}}{a + b}}{a \cdot b} \]
    4. *-commutative99.6%

      \[\leadsto \frac{\frac{\color{blue}{0.5 \cdot \pi}}{a + b}}{a \cdot b} \]
    5. div-inv99.7%

      \[\leadsto \frac{\color{blue}{\left(0.5 \cdot \pi\right) \cdot \frac{1}{a + b}}}{a \cdot b} \]
    6. *-commutative99.7%

      \[\leadsto \frac{\color{blue}{\left(\pi \cdot 0.5\right)} \cdot \frac{1}{a + b}}{a \cdot b} \]
    7. metadata-eval99.7%

      \[\leadsto \frac{\left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{1}{a + b}}{a \cdot b} \]
    8. div-inv99.7%

      \[\leadsto \frac{\color{blue}{\frac{\pi}{2}} \cdot \frac{1}{a + b}}{a \cdot b} \]
    9. *-un-lft-identity99.7%

      \[\leadsto \frac{\frac{\pi}{2} \cdot \frac{1}{a + b}}{\color{blue}{1 \cdot \left(a \cdot b\right)}} \]
    10. times-frac99.7%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{1} \cdot \frac{\frac{1}{a + b}}{a \cdot b}} \]
    11. div-inv99.7%

      \[\leadsto \frac{\color{blue}{\pi \cdot \frac{1}{2}}}{1} \cdot \frac{\frac{1}{a + b}}{a \cdot b} \]
    12. metadata-eval99.7%

      \[\leadsto \frac{\pi \cdot \color{blue}{0.5}}{1} \cdot \frac{\frac{1}{a + b}}{a \cdot b} \]
    13. *-commutative99.7%

      \[\leadsto \frac{\color{blue}{0.5 \cdot \pi}}{1} \cdot \frac{\frac{1}{a + b}}{a \cdot b} \]
  10. Applied egg-rr99.7%

    \[\leadsto \color{blue}{\frac{0.5 \cdot \pi}{1} \cdot \frac{\frac{1}{a + b}}{a \cdot b}} \]
  11. Final simplification99.7%

    \[\leadsto \left(0.5 \cdot \pi\right) \cdot \frac{\frac{1}{a + b}}{a \cdot b} \]
  12. Add Preprocessing

Alternative 2: 96.5% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\pi}{a + b}\\ \mathbf{if}\;b \leq 4.3 \cdot 10^{-40}:\\ \;\;\;\;\frac{0.5}{a} \cdot \frac{t\_0}{b}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{b} \cdot \frac{t\_0}{a}\\ \end{array} \end{array} \]
(FPCore (a b)
 :precision binary64
 (let* ((t_0 (/ PI (+ a b))))
   (if (<= b 4.3e-40) (* (/ 0.5 a) (/ t_0 b)) (* (/ 0.5 b) (/ t_0 a)))))
double code(double a, double b) {
	double t_0 = ((double) M_PI) / (a + b);
	double tmp;
	if (b <= 4.3e-40) {
		tmp = (0.5 / a) * (t_0 / b);
	} else {
		tmp = (0.5 / b) * (t_0 / a);
	}
	return tmp;
}
public static double code(double a, double b) {
	double t_0 = Math.PI / (a + b);
	double tmp;
	if (b <= 4.3e-40) {
		tmp = (0.5 / a) * (t_0 / b);
	} else {
		tmp = (0.5 / b) * (t_0 / a);
	}
	return tmp;
}
def code(a, b):
	t_0 = math.pi / (a + b)
	tmp = 0
	if b <= 4.3e-40:
		tmp = (0.5 / a) * (t_0 / b)
	else:
		tmp = (0.5 / b) * (t_0 / a)
	return tmp
function code(a, b)
	t_0 = Float64(pi / Float64(a + b))
	tmp = 0.0
	if (b <= 4.3e-40)
		tmp = Float64(Float64(0.5 / a) * Float64(t_0 / b));
	else
		tmp = Float64(Float64(0.5 / b) * Float64(t_0 / a));
	end
	return tmp
end
function tmp_2 = code(a, b)
	t_0 = pi / (a + b);
	tmp = 0.0;
	if (b <= 4.3e-40)
		tmp = (0.5 / a) * (t_0 / b);
	else
		tmp = (0.5 / b) * (t_0 / a);
	end
	tmp_2 = tmp;
end
code[a_, b_] := Block[{t$95$0 = N[(Pi / N[(a + b), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 4.3e-40], N[(N[(0.5 / a), $MachinePrecision] * N[(t$95$0 / b), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 / b), $MachinePrecision] * N[(t$95$0 / a), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{\pi}{a + b}\\
\mathbf{if}\;b \leq 4.3 \cdot 10^{-40}:\\
\;\;\;\;\frac{0.5}{a} \cdot \frac{t\_0}{b}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.5}{b} \cdot \frac{t\_0}{a}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if b < 4.3000000000000003e-40

    1. Initial program 80.7%

      \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
    2. Step-by-step derivation
      1. associate-*l*80.8%

        \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
      2. *-rgt-identity80.8%

        \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      3. associate-/l*80.8%

        \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      4. metadata-eval80.8%

        \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      5. associate-*l/80.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
      6. *-lft-identity80.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
      7. sub-neg80.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
      8. distribute-neg-frac80.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
      9. metadata-eval80.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
    3. Simplified80.8%

      \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
    4. Add Preprocessing
    5. Step-by-step derivation
      1. metadata-eval80.8%

        \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      2. div-inv80.8%

        \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      3. *-commutative80.8%

        \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
      4. clear-num80.8%

        \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
      5. frac-times80.8%

        \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
      6. *-un-lft-identity80.8%

        \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
      7. frac-add80.8%

        \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
      8. associate-/r/80.8%

        \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
      9. *-un-lft-identity80.8%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      10. *-commutative80.8%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      11. neg-mul-180.8%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      12. sub-neg80.8%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      13. flip-+99.2%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      14. +-commutative99.2%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    6. Applied egg-rr99.2%

      \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
    7. Step-by-step derivation
      1. *-commutative99.2%

        \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
      2. associate-/r*99.2%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    8. Simplified99.2%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    9. Step-by-step derivation
      1. associate-/r*99.6%

        \[\leadsto \color{blue}{\frac{\frac{\frac{\pi}{2}}{a + b}}{a \cdot b}} \]
      2. div-inv99.6%

        \[\leadsto \frac{\frac{\color{blue}{\pi \cdot \frac{1}{2}}}{a + b}}{a \cdot b} \]
      3. metadata-eval99.6%

        \[\leadsto \frac{\frac{\pi \cdot \color{blue}{0.5}}{a + b}}{a \cdot b} \]
      4. *-commutative99.6%

        \[\leadsto \frac{\frac{\color{blue}{0.5 \cdot \pi}}{a + b}}{a \cdot b} \]
      5. associate-/l*99.6%

        \[\leadsto \frac{\color{blue}{0.5 \cdot \frac{\pi}{a + b}}}{a \cdot b} \]
      6. times-frac96.8%

        \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
    10. Applied egg-rr96.8%

      \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]

    if 4.3000000000000003e-40 < b

    1. Initial program 85.3%

      \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
    2. Step-by-step derivation
      1. associate-*l*85.1%

        \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
      2. *-rgt-identity85.1%

        \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      3. associate-/l*85.1%

        \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      4. metadata-eval85.1%

        \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      5. associate-*l/85.2%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
      6. *-lft-identity85.2%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
      7. sub-neg85.2%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
      8. distribute-neg-frac85.2%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
      9. metadata-eval85.2%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
    3. Simplified85.2%

      \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
    4. Add Preprocessing
    5. Step-by-step derivation
      1. metadata-eval85.2%

        \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      2. div-inv85.2%

        \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      3. *-commutative85.2%

        \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
      4. clear-num85.1%

        \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
      5. frac-times85.2%

        \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
      6. *-un-lft-identity85.2%

        \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
      7. frac-add85.2%

        \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
      8. associate-/r/85.1%

        \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
      9. *-un-lft-identity85.1%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      10. *-commutative85.1%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      11. neg-mul-185.1%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      12. sub-neg85.1%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      13. flip-+99.6%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      14. +-commutative99.6%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    6. Applied egg-rr99.6%

      \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
    7. Step-by-step derivation
      1. *-commutative99.6%

        \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
      2. associate-/r*99.6%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    8. Simplified99.6%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    9. Step-by-step derivation
      1. associate-/r*99.6%

        \[\leadsto \color{blue}{\frac{\frac{\frac{\pi}{2}}{a + b}}{a \cdot b}} \]
      2. div-inv99.6%

        \[\leadsto \frac{\frac{\color{blue}{\pi \cdot \frac{1}{2}}}{a + b}}{a \cdot b} \]
      3. metadata-eval99.6%

        \[\leadsto \frac{\frac{\pi \cdot \color{blue}{0.5}}{a + b}}{a \cdot b} \]
      4. *-commutative99.6%

        \[\leadsto \frac{\frac{\color{blue}{0.5 \cdot \pi}}{a + b}}{a \cdot b} \]
      5. associate-/l*99.6%

        \[\leadsto \frac{\color{blue}{0.5 \cdot \frac{\pi}{a + b}}}{a \cdot b} \]
      6. *-commutative99.6%

        \[\leadsto \frac{0.5 \cdot \frac{\pi}{a + b}}{\color{blue}{b \cdot a}} \]
      7. times-frac99.7%

        \[\leadsto \color{blue}{\frac{0.5}{b} \cdot \frac{\frac{\pi}{a + b}}{a}} \]
    10. Applied egg-rr99.7%

      \[\leadsto \color{blue}{\frac{0.5}{b} \cdot \frac{\frac{\pi}{a + b}}{a}} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 3: 96.5% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;b \leq 1.2 \cdot 10^{+97}:\\ \;\;\;\;\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{b} \cdot \frac{\frac{\pi}{a}}{b}\\ \end{array} \end{array} \]
(FPCore (a b)
 :precision binary64
 (if (<= b 1.2e+97)
   (* (/ 0.5 a) (/ (/ PI (+ a b)) b))
   (* (/ 0.5 b) (/ (/ PI a) b))))
double code(double a, double b) {
	double tmp;
	if (b <= 1.2e+97) {
		tmp = (0.5 / a) * ((((double) M_PI) / (a + b)) / b);
	} else {
		tmp = (0.5 / b) * ((((double) M_PI) / a) / b);
	}
	return tmp;
}
public static double code(double a, double b) {
	double tmp;
	if (b <= 1.2e+97) {
		tmp = (0.5 / a) * ((Math.PI / (a + b)) / b);
	} else {
		tmp = (0.5 / b) * ((Math.PI / a) / b);
	}
	return tmp;
}
def code(a, b):
	tmp = 0
	if b <= 1.2e+97:
		tmp = (0.5 / a) * ((math.pi / (a + b)) / b)
	else:
		tmp = (0.5 / b) * ((math.pi / a) / b)
	return tmp
function code(a, b)
	tmp = 0.0
	if (b <= 1.2e+97)
		tmp = Float64(Float64(0.5 / a) * Float64(Float64(pi / Float64(a + b)) / b));
	else
		tmp = Float64(Float64(0.5 / b) * Float64(Float64(pi / a) / b));
	end
	return tmp
end
function tmp_2 = code(a, b)
	tmp = 0.0;
	if (b <= 1.2e+97)
		tmp = (0.5 / a) * ((pi / (a + b)) / b);
	else
		tmp = (0.5 / b) * ((pi / a) / b);
	end
	tmp_2 = tmp;
end
code[a_, b_] := If[LessEqual[b, 1.2e+97], N[(N[(0.5 / a), $MachinePrecision] * N[(N[(Pi / N[(a + b), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 / b), $MachinePrecision] * N[(N[(Pi / a), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;b \leq 1.2 \cdot 10^{+97}:\\
\;\;\;\;\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.5}{b} \cdot \frac{\frac{\pi}{a}}{b}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if b < 1.2e97

    1. Initial program 83.7%

      \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
    2. Step-by-step derivation
      1. associate-*l*83.7%

        \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
      2. *-rgt-identity83.7%

        \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      3. associate-/l*83.7%

        \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      4. metadata-eval83.7%

        \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      5. associate-*l/83.7%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
      6. *-lft-identity83.7%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
      7. sub-neg83.7%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
      8. distribute-neg-frac83.7%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
      9. metadata-eval83.7%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
    3. Simplified83.7%

      \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
    4. Add Preprocessing
    5. Step-by-step derivation
      1. metadata-eval83.7%

        \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      2. div-inv83.7%

        \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      3. *-commutative83.7%

        \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
      4. clear-num83.7%

        \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
      5. frac-times83.7%

        \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
      6. *-un-lft-identity83.7%

        \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
      7. frac-add83.7%

        \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
      8. associate-/r/83.7%

        \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
      9. *-un-lft-identity83.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      10. *-commutative83.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      11. neg-mul-183.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      12. sub-neg83.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      13. flip-+99.2%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      14. +-commutative99.2%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    6. Applied egg-rr99.2%

      \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
    7. Step-by-step derivation
      1. *-commutative99.2%

        \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
      2. associate-/r*99.2%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    8. Simplified99.2%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    9. Step-by-step derivation
      1. associate-/r*99.6%

        \[\leadsto \color{blue}{\frac{\frac{\frac{\pi}{2}}{a + b}}{a \cdot b}} \]
      2. div-inv99.6%

        \[\leadsto \frac{\frac{\color{blue}{\pi \cdot \frac{1}{2}}}{a + b}}{a \cdot b} \]
      3. metadata-eval99.6%

        \[\leadsto \frac{\frac{\pi \cdot \color{blue}{0.5}}{a + b}}{a \cdot b} \]
      4. *-commutative99.6%

        \[\leadsto \frac{\frac{\color{blue}{0.5 \cdot \pi}}{a + b}}{a \cdot b} \]
      5. associate-/l*99.6%

        \[\leadsto \frac{\color{blue}{0.5 \cdot \frac{\pi}{a + b}}}{a \cdot b} \]
      6. times-frac97.2%

        \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
    10. Applied egg-rr97.2%

      \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]

    if 1.2e97 < b

    1. Initial program 75.3%

      \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
    2. Step-by-step derivation
      1. associate-*l*75.2%

        \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
      2. *-rgt-identity75.2%

        \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      3. associate-/l*75.2%

        \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      4. metadata-eval75.2%

        \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      5. associate-*l/75.2%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
      6. *-lft-identity75.2%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
      7. sub-neg75.2%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
      8. distribute-neg-frac75.2%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
      9. metadata-eval75.2%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
    3. Simplified75.2%

      \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
    4. Add Preprocessing
    5. Step-by-step derivation
      1. metadata-eval75.2%

        \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      2. div-inv75.2%

        \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      3. *-commutative75.2%

        \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
      4. clear-num75.2%

        \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
      5. frac-times75.3%

        \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
      6. *-un-lft-identity75.3%

        \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
      7. frac-add75.3%

        \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
      8. associate-/r/75.2%

        \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
      9. *-un-lft-identity75.2%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      10. *-commutative75.2%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      11. neg-mul-175.2%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      12. sub-neg75.2%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      13. flip-+99.7%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      14. +-commutative99.7%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    6. Applied egg-rr99.7%

      \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
    7. Step-by-step derivation
      1. *-commutative99.7%

        \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
      2. associate-/r*99.7%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    8. Simplified99.7%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    9. Taylor expanded in a around 0 99.7%

      \[\leadsto \frac{\frac{\pi}{2}}{\color{blue}{b} \cdot \left(a \cdot b\right)} \]
    10. Step-by-step derivation
      1. div-inv99.7%

        \[\leadsto \frac{\color{blue}{\pi \cdot \frac{1}{2}}}{b \cdot \left(a \cdot b\right)} \]
      2. metadata-eval99.7%

        \[\leadsto \frac{\pi \cdot \color{blue}{0.5}}{b \cdot \left(a \cdot b\right)} \]
      3. *-commutative99.7%

        \[\leadsto \frac{\pi \cdot 0.5}{\color{blue}{\left(a \cdot b\right) \cdot b}} \]
      4. times-frac99.8%

        \[\leadsto \color{blue}{\frac{\pi}{a \cdot b} \cdot \frac{0.5}{b}} \]
      5. associate-/r*99.8%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{a}}{b}} \cdot \frac{0.5}{b} \]
    11. Applied egg-rr99.8%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{a}}{b} \cdot \frac{0.5}{b}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification97.7%

    \[\leadsto \begin{array}{l} \mathbf{if}\;b \leq 1.2 \cdot 10^{+97}:\\ \;\;\;\;\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{b} \cdot \frac{\frac{\pi}{a}}{b}\\ \end{array} \]
  5. Add Preprocessing

Alternative 4: 73.8% accurate, 1.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;a \leq -9 \cdot 10^{-73}:\\ \;\;\;\;\frac{\frac{0.5}{a}}{b \cdot \frac{a}{\pi}}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{b} \cdot \frac{\frac{\pi}{a}}{b}\\ \end{array} \end{array} \]
(FPCore (a b)
 :precision binary64
 (if (<= a -9e-73) (/ (/ 0.5 a) (* b (/ a PI))) (* (/ 0.5 b) (/ (/ PI a) b))))
double code(double a, double b) {
	double tmp;
	if (a <= -9e-73) {
		tmp = (0.5 / a) / (b * (a / ((double) M_PI)));
	} else {
		tmp = (0.5 / b) * ((((double) M_PI) / a) / b);
	}
	return tmp;
}
public static double code(double a, double b) {
	double tmp;
	if (a <= -9e-73) {
		tmp = (0.5 / a) / (b * (a / Math.PI));
	} else {
		tmp = (0.5 / b) * ((Math.PI / a) / b);
	}
	return tmp;
}
def code(a, b):
	tmp = 0
	if a <= -9e-73:
		tmp = (0.5 / a) / (b * (a / math.pi))
	else:
		tmp = (0.5 / b) * ((math.pi / a) / b)
	return tmp
function code(a, b)
	tmp = 0.0
	if (a <= -9e-73)
		tmp = Float64(Float64(0.5 / a) / Float64(b * Float64(a / pi)));
	else
		tmp = Float64(Float64(0.5 / b) * Float64(Float64(pi / a) / b));
	end
	return tmp
end
function tmp_2 = code(a, b)
	tmp = 0.0;
	if (a <= -9e-73)
		tmp = (0.5 / a) / (b * (a / pi));
	else
		tmp = (0.5 / b) * ((pi / a) / b);
	end
	tmp_2 = tmp;
end
code[a_, b_] := If[LessEqual[a, -9e-73], N[(N[(0.5 / a), $MachinePrecision] / N[(b * N[(a / Pi), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 / b), $MachinePrecision] * N[(N[(Pi / a), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;a \leq -9 \cdot 10^{-73}:\\
\;\;\;\;\frac{\frac{0.5}{a}}{b \cdot \frac{a}{\pi}}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.5}{b} \cdot \frac{\frac{\pi}{a}}{b}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if a < -9e-73

    1. Initial program 81.6%

      \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
    2. Step-by-step derivation
      1. associate-*l*81.7%

        \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
      2. *-rgt-identity81.7%

        \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      3. associate-/l*81.7%

        \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      4. metadata-eval81.7%

        \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      5. associate-*l/81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
      6. *-lft-identity81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
      7. sub-neg81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
      8. distribute-neg-frac81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
      9. metadata-eval81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
    3. Simplified81.8%

      \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
    4. Add Preprocessing
    5. Step-by-step derivation
      1. metadata-eval81.8%

        \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      2. div-inv81.8%

        \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      3. *-commutative81.8%

        \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
      4. clear-num81.7%

        \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
      5. frac-times81.7%

        \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
      6. *-un-lft-identity81.7%

        \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
      7. frac-add81.7%

        \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
      8. associate-/r/81.7%

        \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
      9. *-un-lft-identity81.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      10. *-commutative81.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      11. neg-mul-181.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      12. sub-neg81.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      13. flip-+98.3%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      14. +-commutative98.3%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    6. Applied egg-rr98.3%

      \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
    7. Step-by-step derivation
      1. *-commutative98.3%

        \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
      2. associate-/r*98.3%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    8. Simplified98.3%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    9. Step-by-step derivation
      1. associate-/r*99.5%

        \[\leadsto \color{blue}{\frac{\frac{\frac{\pi}{2}}{a + b}}{a \cdot b}} \]
      2. div-inv99.5%

        \[\leadsto \frac{\frac{\color{blue}{\pi \cdot \frac{1}{2}}}{a + b}}{a \cdot b} \]
      3. metadata-eval99.5%

        \[\leadsto \frac{\frac{\pi \cdot \color{blue}{0.5}}{a + b}}{a \cdot b} \]
      4. *-commutative99.5%

        \[\leadsto \frac{\frac{\color{blue}{0.5 \cdot \pi}}{a + b}}{a \cdot b} \]
      5. associate-/l*99.5%

        \[\leadsto \frac{\color{blue}{0.5 \cdot \frac{\pi}{a + b}}}{a \cdot b} \]
      6. times-frac99.6%

        \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
    10. Applied egg-rr99.6%

      \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
    11. Taylor expanded in a around inf 85.9%

      \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\pi}{a \cdot b}} \]
    12. Step-by-step derivation
      1. associate-/r*85.8%

        \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\frac{\pi}{a}}{b}} \]
    13. Simplified85.8%

      \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\frac{\pi}{a}}{b}} \]
    14. Step-by-step derivation
      1. clear-num85.8%

        \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{1}{\frac{b}{\frac{\pi}{a}}}} \]
      2. un-div-inv85.9%

        \[\leadsto \color{blue}{\frac{\frac{0.5}{a}}{\frac{b}{\frac{\pi}{a}}}} \]
      3. div-inv85.8%

        \[\leadsto \frac{\frac{0.5}{a}}{\color{blue}{b \cdot \frac{1}{\frac{\pi}{a}}}} \]
      4. clear-num85.9%

        \[\leadsto \frac{\frac{0.5}{a}}{b \cdot \color{blue}{\frac{a}{\pi}}} \]
    15. Applied egg-rr85.9%

      \[\leadsto \color{blue}{\frac{\frac{0.5}{a}}{b \cdot \frac{a}{\pi}}} \]

    if -9e-73 < a

    1. Initial program 82.4%

      \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
    2. Step-by-step derivation
      1. associate-*l*82.3%

        \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
      2. *-rgt-identity82.3%

        \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      3. associate-/l*82.3%

        \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      4. metadata-eval82.3%

        \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      5. associate-*l/82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
      6. *-lft-identity82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
      7. sub-neg82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
      8. distribute-neg-frac82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
      9. metadata-eval82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
    3. Simplified82.4%

      \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
    4. Add Preprocessing
    5. Step-by-step derivation
      1. metadata-eval82.4%

        \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      2. div-inv82.4%

        \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      3. *-commutative82.4%

        \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
      4. clear-num82.3%

        \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
      5. frac-times82.4%

        \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
      6. *-un-lft-identity82.4%

        \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
      7. frac-add82.4%

        \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
      8. associate-/r/82.4%

        \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
      9. *-un-lft-identity82.4%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      10. *-commutative82.4%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      11. neg-mul-182.4%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      12. sub-neg82.4%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      13. flip-+99.7%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      14. +-commutative99.7%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    6. Applied egg-rr99.7%

      \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
    7. Step-by-step derivation
      1. *-commutative99.7%

        \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
      2. associate-/r*99.7%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    8. Simplified99.7%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    9. Taylor expanded in a around 0 73.2%

      \[\leadsto \frac{\frac{\pi}{2}}{\color{blue}{b} \cdot \left(a \cdot b\right)} \]
    10. Step-by-step derivation
      1. div-inv73.2%

        \[\leadsto \frac{\color{blue}{\pi \cdot \frac{1}{2}}}{b \cdot \left(a \cdot b\right)} \]
      2. metadata-eval73.2%

        \[\leadsto \frac{\pi \cdot \color{blue}{0.5}}{b \cdot \left(a \cdot b\right)} \]
      3. *-commutative73.2%

        \[\leadsto \frac{\pi \cdot 0.5}{\color{blue}{\left(a \cdot b\right) \cdot b}} \]
      4. times-frac73.0%

        \[\leadsto \color{blue}{\frac{\pi}{a \cdot b} \cdot \frac{0.5}{b}} \]
      5. associate-/r*73.0%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{a}}{b}} \cdot \frac{0.5}{b} \]
    11. Applied egg-rr73.0%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{a}}{b} \cdot \frac{0.5}{b}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification76.8%

    \[\leadsto \begin{array}{l} \mathbf{if}\;a \leq -9 \cdot 10^{-73}:\\ \;\;\;\;\frac{\frac{0.5}{a}}{b \cdot \frac{a}{\pi}}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{b} \cdot \frac{\frac{\pi}{a}}{b}\\ \end{array} \]
  5. Add Preprocessing

Alternative 5: 73.8% accurate, 1.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\frac{\pi}{a}}{b}\\ \mathbf{if}\;a \leq -7 \cdot 10^{-73}:\\ \;\;\;\;\frac{0.5}{a} \cdot t\_0\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{b} \cdot t\_0\\ \end{array} \end{array} \]
(FPCore (a b)
 :precision binary64
 (let* ((t_0 (/ (/ PI a) b)))
   (if (<= a -7e-73) (* (/ 0.5 a) t_0) (* (/ 0.5 b) t_0))))
double code(double a, double b) {
	double t_0 = (((double) M_PI) / a) / b;
	double tmp;
	if (a <= -7e-73) {
		tmp = (0.5 / a) * t_0;
	} else {
		tmp = (0.5 / b) * t_0;
	}
	return tmp;
}
public static double code(double a, double b) {
	double t_0 = (Math.PI / a) / b;
	double tmp;
	if (a <= -7e-73) {
		tmp = (0.5 / a) * t_0;
	} else {
		tmp = (0.5 / b) * t_0;
	}
	return tmp;
}
def code(a, b):
	t_0 = (math.pi / a) / b
	tmp = 0
	if a <= -7e-73:
		tmp = (0.5 / a) * t_0
	else:
		tmp = (0.5 / b) * t_0
	return tmp
function code(a, b)
	t_0 = Float64(Float64(pi / a) / b)
	tmp = 0.0
	if (a <= -7e-73)
		tmp = Float64(Float64(0.5 / a) * t_0);
	else
		tmp = Float64(Float64(0.5 / b) * t_0);
	end
	return tmp
end
function tmp_2 = code(a, b)
	t_0 = (pi / a) / b;
	tmp = 0.0;
	if (a <= -7e-73)
		tmp = (0.5 / a) * t_0;
	else
		tmp = (0.5 / b) * t_0;
	end
	tmp_2 = tmp;
end
code[a_, b_] := Block[{t$95$0 = N[(N[(Pi / a), $MachinePrecision] / b), $MachinePrecision]}, If[LessEqual[a, -7e-73], N[(N[(0.5 / a), $MachinePrecision] * t$95$0), $MachinePrecision], N[(N[(0.5 / b), $MachinePrecision] * t$95$0), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{\frac{\pi}{a}}{b}\\
\mathbf{if}\;a \leq -7 \cdot 10^{-73}:\\
\;\;\;\;\frac{0.5}{a} \cdot t\_0\\

\mathbf{else}:\\
\;\;\;\;\frac{0.5}{b} \cdot t\_0\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if a < -6.9999999999999995e-73

    1. Initial program 81.6%

      \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
    2. Step-by-step derivation
      1. associate-*l*81.7%

        \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
      2. *-rgt-identity81.7%

        \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      3. associate-/l*81.7%

        \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      4. metadata-eval81.7%

        \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      5. associate-*l/81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
      6. *-lft-identity81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
      7. sub-neg81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
      8. distribute-neg-frac81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
      9. metadata-eval81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
    3. Simplified81.8%

      \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
    4. Add Preprocessing
    5. Step-by-step derivation
      1. metadata-eval81.8%

        \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      2. div-inv81.8%

        \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      3. *-commutative81.8%

        \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
      4. clear-num81.7%

        \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
      5. frac-times81.7%

        \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
      6. *-un-lft-identity81.7%

        \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
      7. frac-add81.7%

        \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
      8. associate-/r/81.7%

        \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
      9. *-un-lft-identity81.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      10. *-commutative81.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      11. neg-mul-181.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      12. sub-neg81.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      13. flip-+98.3%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      14. +-commutative98.3%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    6. Applied egg-rr98.3%

      \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
    7. Step-by-step derivation
      1. *-commutative98.3%

        \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
      2. associate-/r*98.3%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    8. Simplified98.3%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    9. Step-by-step derivation
      1. associate-/r*99.5%

        \[\leadsto \color{blue}{\frac{\frac{\frac{\pi}{2}}{a + b}}{a \cdot b}} \]
      2. div-inv99.5%

        \[\leadsto \frac{\frac{\color{blue}{\pi \cdot \frac{1}{2}}}{a + b}}{a \cdot b} \]
      3. metadata-eval99.5%

        \[\leadsto \frac{\frac{\pi \cdot \color{blue}{0.5}}{a + b}}{a \cdot b} \]
      4. *-commutative99.5%

        \[\leadsto \frac{\frac{\color{blue}{0.5 \cdot \pi}}{a + b}}{a \cdot b} \]
      5. associate-/l*99.5%

        \[\leadsto \frac{\color{blue}{0.5 \cdot \frac{\pi}{a + b}}}{a \cdot b} \]
      6. times-frac99.6%

        \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
    10. Applied egg-rr99.6%

      \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
    11. Taylor expanded in a around inf 85.9%

      \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\pi}{a \cdot b}} \]
    12. Step-by-step derivation
      1. associate-/r*85.8%

        \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\frac{\pi}{a}}{b}} \]
    13. Simplified85.8%

      \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\frac{\pi}{a}}{b}} \]

    if -6.9999999999999995e-73 < a

    1. Initial program 82.4%

      \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
    2. Step-by-step derivation
      1. associate-*l*82.3%

        \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
      2. *-rgt-identity82.3%

        \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      3. associate-/l*82.3%

        \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      4. metadata-eval82.3%

        \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      5. associate-*l/82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
      6. *-lft-identity82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
      7. sub-neg82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
      8. distribute-neg-frac82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
      9. metadata-eval82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
    3. Simplified82.4%

      \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
    4. Add Preprocessing
    5. Step-by-step derivation
      1. metadata-eval82.4%

        \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      2. div-inv82.4%

        \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      3. *-commutative82.4%

        \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
      4. clear-num82.3%

        \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
      5. frac-times82.4%

        \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
      6. *-un-lft-identity82.4%

        \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
      7. frac-add82.4%

        \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
      8. associate-/r/82.4%

        \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
      9. *-un-lft-identity82.4%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      10. *-commutative82.4%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      11. neg-mul-182.4%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      12. sub-neg82.4%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      13. flip-+99.7%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      14. +-commutative99.7%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    6. Applied egg-rr99.7%

      \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
    7. Step-by-step derivation
      1. *-commutative99.7%

        \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
      2. associate-/r*99.7%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    8. Simplified99.7%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    9. Taylor expanded in a around 0 73.2%

      \[\leadsto \frac{\frac{\pi}{2}}{\color{blue}{b} \cdot \left(a \cdot b\right)} \]
    10. Step-by-step derivation
      1. div-inv73.2%

        \[\leadsto \frac{\color{blue}{\pi \cdot \frac{1}{2}}}{b \cdot \left(a \cdot b\right)} \]
      2. metadata-eval73.2%

        \[\leadsto \frac{\pi \cdot \color{blue}{0.5}}{b \cdot \left(a \cdot b\right)} \]
      3. *-commutative73.2%

        \[\leadsto \frac{\pi \cdot 0.5}{\color{blue}{\left(a \cdot b\right) \cdot b}} \]
      4. times-frac73.0%

        \[\leadsto \color{blue}{\frac{\pi}{a \cdot b} \cdot \frac{0.5}{b}} \]
      5. associate-/r*73.0%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{a}}{b}} \cdot \frac{0.5}{b} \]
    11. Applied egg-rr73.0%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{a}}{b} \cdot \frac{0.5}{b}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification76.8%

    \[\leadsto \begin{array}{l} \mathbf{if}\;a \leq -7 \cdot 10^{-73}:\\ \;\;\;\;\frac{0.5}{a} \cdot \frac{\frac{\pi}{a}}{b}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{b} \cdot \frac{\frac{\pi}{a}}{b}\\ \end{array} \]
  5. Add Preprocessing

Alternative 6: 73.6% accurate, 1.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;a \leq -9 \cdot 10^{-73}:\\ \;\;\;\;\frac{0.5}{a} \cdot \frac{\frac{\pi}{a}}{b}\\ \mathbf{else}:\\ \;\;\;\;\pi \cdot \frac{0.5}{b \cdot \left(a \cdot b\right)}\\ \end{array} \end{array} \]
(FPCore (a b)
 :precision binary64
 (if (<= a -9e-73) (* (/ 0.5 a) (/ (/ PI a) b)) (* PI (/ 0.5 (* b (* a b))))))
double code(double a, double b) {
	double tmp;
	if (a <= -9e-73) {
		tmp = (0.5 / a) * ((((double) M_PI) / a) / b);
	} else {
		tmp = ((double) M_PI) * (0.5 / (b * (a * b)));
	}
	return tmp;
}
public static double code(double a, double b) {
	double tmp;
	if (a <= -9e-73) {
		tmp = (0.5 / a) * ((Math.PI / a) / b);
	} else {
		tmp = Math.PI * (0.5 / (b * (a * b)));
	}
	return tmp;
}
def code(a, b):
	tmp = 0
	if a <= -9e-73:
		tmp = (0.5 / a) * ((math.pi / a) / b)
	else:
		tmp = math.pi * (0.5 / (b * (a * b)))
	return tmp
function code(a, b)
	tmp = 0.0
	if (a <= -9e-73)
		tmp = Float64(Float64(0.5 / a) * Float64(Float64(pi / a) / b));
	else
		tmp = Float64(pi * Float64(0.5 / Float64(b * Float64(a * b))));
	end
	return tmp
end
function tmp_2 = code(a, b)
	tmp = 0.0;
	if (a <= -9e-73)
		tmp = (0.5 / a) * ((pi / a) / b);
	else
		tmp = pi * (0.5 / (b * (a * b)));
	end
	tmp_2 = tmp;
end
code[a_, b_] := If[LessEqual[a, -9e-73], N[(N[(0.5 / a), $MachinePrecision] * N[(N[(Pi / a), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision], N[(Pi * N[(0.5 / N[(b * N[(a * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;a \leq -9 \cdot 10^{-73}:\\
\;\;\;\;\frac{0.5}{a} \cdot \frac{\frac{\pi}{a}}{b}\\

\mathbf{else}:\\
\;\;\;\;\pi \cdot \frac{0.5}{b \cdot \left(a \cdot b\right)}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if a < -9e-73

    1. Initial program 81.6%

      \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
    2. Step-by-step derivation
      1. associate-*l*81.7%

        \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
      2. *-rgt-identity81.7%

        \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      3. associate-/l*81.7%

        \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      4. metadata-eval81.7%

        \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      5. associate-*l/81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
      6. *-lft-identity81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
      7. sub-neg81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
      8. distribute-neg-frac81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
      9. metadata-eval81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
    3. Simplified81.8%

      \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
    4. Add Preprocessing
    5. Step-by-step derivation
      1. metadata-eval81.8%

        \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      2. div-inv81.8%

        \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      3. *-commutative81.8%

        \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
      4. clear-num81.7%

        \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
      5. frac-times81.7%

        \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
      6. *-un-lft-identity81.7%

        \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
      7. frac-add81.7%

        \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
      8. associate-/r/81.7%

        \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
      9. *-un-lft-identity81.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      10. *-commutative81.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      11. neg-mul-181.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      12. sub-neg81.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      13. flip-+98.3%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      14. +-commutative98.3%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    6. Applied egg-rr98.3%

      \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
    7. Step-by-step derivation
      1. *-commutative98.3%

        \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
      2. associate-/r*98.3%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    8. Simplified98.3%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    9. Step-by-step derivation
      1. associate-/r*99.5%

        \[\leadsto \color{blue}{\frac{\frac{\frac{\pi}{2}}{a + b}}{a \cdot b}} \]
      2. div-inv99.5%

        \[\leadsto \frac{\frac{\color{blue}{\pi \cdot \frac{1}{2}}}{a + b}}{a \cdot b} \]
      3. metadata-eval99.5%

        \[\leadsto \frac{\frac{\pi \cdot \color{blue}{0.5}}{a + b}}{a \cdot b} \]
      4. *-commutative99.5%

        \[\leadsto \frac{\frac{\color{blue}{0.5 \cdot \pi}}{a + b}}{a \cdot b} \]
      5. associate-/l*99.5%

        \[\leadsto \frac{\color{blue}{0.5 \cdot \frac{\pi}{a + b}}}{a \cdot b} \]
      6. times-frac99.6%

        \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
    10. Applied egg-rr99.6%

      \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
    11. Taylor expanded in a around inf 85.9%

      \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\pi}{a \cdot b}} \]
    12. Step-by-step derivation
      1. associate-/r*85.8%

        \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\frac{\pi}{a}}{b}} \]
    13. Simplified85.8%

      \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\frac{\pi}{a}}{b}} \]

    if -9e-73 < a

    1. Initial program 82.4%

      \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
    2. Step-by-step derivation
      1. *-commutative82.4%

        \[\leadsto \color{blue}{\left(\frac{1}{a} - \frac{1}{b}\right) \cdot \left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right)} \]
      2. associate-*r*82.3%

        \[\leadsto \color{blue}{\left(\left(\frac{1}{a} - \frac{1}{b}\right) \cdot \frac{\pi}{2}\right) \cdot \frac{1}{b \cdot b - a \cdot a}} \]
      3. associate-*r/82.4%

        \[\leadsto \color{blue}{\frac{\left(\left(\frac{1}{a} - \frac{1}{b}\right) \cdot \frac{\pi}{2}\right) \cdot 1}{b \cdot b - a \cdot a}} \]
      4. associate-*r*82.4%

        \[\leadsto \frac{\color{blue}{\left(\frac{1}{a} - \frac{1}{b}\right) \cdot \left(\frac{\pi}{2} \cdot 1\right)}}{b \cdot b - a \cdot a} \]
      5. *-rgt-identity82.4%

        \[\leadsto \frac{\left(\frac{1}{a} - \frac{1}{b}\right) \cdot \color{blue}{\frac{\pi}{2}}}{b \cdot b - a \cdot a} \]
      6. sub-neg82.4%

        \[\leadsto \frac{\color{blue}{\left(\frac{1}{a} + \left(-\frac{1}{b}\right)\right)} \cdot \frac{\pi}{2}}{b \cdot b - a \cdot a} \]
      7. distribute-neg-frac82.4%

        \[\leadsto \frac{\left(\frac{1}{a} + \color{blue}{\frac{-1}{b}}\right) \cdot \frac{\pi}{2}}{b \cdot b - a \cdot a} \]
      8. metadata-eval82.4%

        \[\leadsto \frac{\left(\frac{1}{a} + \frac{\color{blue}{-1}}{b}\right) \cdot \frac{\pi}{2}}{b \cdot b - a \cdot a} \]
    3. Simplified82.4%

      \[\leadsto \color{blue}{\frac{\left(\frac{1}{a} + \frac{-1}{b}\right) \cdot \frac{\pi}{2}}{b \cdot b - a \cdot a}} \]
    4. Add Preprocessing
    5. Step-by-step derivation
      1. *-commutative82.4%

        \[\leadsto \frac{\color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{a} + \frac{-1}{b}\right)}}{b \cdot b - a \cdot a} \]
      2. associate-*r/82.4%

        \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
      3. div-inv82.4%

        \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      4. metadata-eval82.4%

        \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      5. associate-*l*82.4%

        \[\leadsto \color{blue}{\pi \cdot \left(0.5 \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}\right)} \]
      6. *-commutative82.4%

        \[\leadsto \color{blue}{\left(0.5 \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}\right) \cdot \pi} \]
    6. Applied egg-rr99.7%

      \[\leadsto \color{blue}{\frac{0.5}{\left(a + b\right) \cdot \left(a \cdot b\right)} \cdot \pi} \]
    7. Taylor expanded in a around 0 73.2%

      \[\leadsto \frac{0.5}{\color{blue}{b} \cdot \left(a \cdot b\right)} \cdot \pi \]
  3. Recombined 2 regimes into one program.
  4. Final simplification76.9%

    \[\leadsto \begin{array}{l} \mathbf{if}\;a \leq -9 \cdot 10^{-73}:\\ \;\;\;\;\frac{0.5}{a} \cdot \frac{\frac{\pi}{a}}{b}\\ \mathbf{else}:\\ \;\;\;\;\pi \cdot \frac{0.5}{b \cdot \left(a \cdot b\right)}\\ \end{array} \]
  5. Add Preprocessing

Alternative 7: 68.3% accurate, 1.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;a \leq -9 \cdot 10^{-73}:\\ \;\;\;\;\frac{0.5}{a} \cdot \frac{\frac{\pi}{a}}{b}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{a} \cdot \frac{\frac{\pi}{b}}{b}\\ \end{array} \end{array} \]
(FPCore (a b)
 :precision binary64
 (if (<= a -9e-73) (* (/ 0.5 a) (/ (/ PI a) b)) (* (/ 0.5 a) (/ (/ PI b) b))))
double code(double a, double b) {
	double tmp;
	if (a <= -9e-73) {
		tmp = (0.5 / a) * ((((double) M_PI) / a) / b);
	} else {
		tmp = (0.5 / a) * ((((double) M_PI) / b) / b);
	}
	return tmp;
}
public static double code(double a, double b) {
	double tmp;
	if (a <= -9e-73) {
		tmp = (0.5 / a) * ((Math.PI / a) / b);
	} else {
		tmp = (0.5 / a) * ((Math.PI / b) / b);
	}
	return tmp;
}
def code(a, b):
	tmp = 0
	if a <= -9e-73:
		tmp = (0.5 / a) * ((math.pi / a) / b)
	else:
		tmp = (0.5 / a) * ((math.pi / b) / b)
	return tmp
function code(a, b)
	tmp = 0.0
	if (a <= -9e-73)
		tmp = Float64(Float64(0.5 / a) * Float64(Float64(pi / a) / b));
	else
		tmp = Float64(Float64(0.5 / a) * Float64(Float64(pi / b) / b));
	end
	return tmp
end
function tmp_2 = code(a, b)
	tmp = 0.0;
	if (a <= -9e-73)
		tmp = (0.5 / a) * ((pi / a) / b);
	else
		tmp = (0.5 / a) * ((pi / b) / b);
	end
	tmp_2 = tmp;
end
code[a_, b_] := If[LessEqual[a, -9e-73], N[(N[(0.5 / a), $MachinePrecision] * N[(N[(Pi / a), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 / a), $MachinePrecision] * N[(N[(Pi / b), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;a \leq -9 \cdot 10^{-73}:\\
\;\;\;\;\frac{0.5}{a} \cdot \frac{\frac{\pi}{a}}{b}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.5}{a} \cdot \frac{\frac{\pi}{b}}{b}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if a < -9e-73

    1. Initial program 81.6%

      \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
    2. Step-by-step derivation
      1. associate-*l*81.7%

        \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
      2. *-rgt-identity81.7%

        \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      3. associate-/l*81.7%

        \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      4. metadata-eval81.7%

        \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      5. associate-*l/81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
      6. *-lft-identity81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
      7. sub-neg81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
      8. distribute-neg-frac81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
      9. metadata-eval81.8%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
    3. Simplified81.8%

      \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
    4. Add Preprocessing
    5. Step-by-step derivation
      1. metadata-eval81.8%

        \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      2. div-inv81.8%

        \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      3. *-commutative81.8%

        \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
      4. clear-num81.7%

        \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
      5. frac-times81.7%

        \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
      6. *-un-lft-identity81.7%

        \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
      7. frac-add81.7%

        \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
      8. associate-/r/81.7%

        \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
      9. *-un-lft-identity81.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      10. *-commutative81.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      11. neg-mul-181.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      12. sub-neg81.7%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      13. flip-+98.3%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      14. +-commutative98.3%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    6. Applied egg-rr98.3%

      \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
    7. Step-by-step derivation
      1. *-commutative98.3%

        \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
      2. associate-/r*98.3%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    8. Simplified98.3%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    9. Step-by-step derivation
      1. associate-/r*99.5%

        \[\leadsto \color{blue}{\frac{\frac{\frac{\pi}{2}}{a + b}}{a \cdot b}} \]
      2. div-inv99.5%

        \[\leadsto \frac{\frac{\color{blue}{\pi \cdot \frac{1}{2}}}{a + b}}{a \cdot b} \]
      3. metadata-eval99.5%

        \[\leadsto \frac{\frac{\pi \cdot \color{blue}{0.5}}{a + b}}{a \cdot b} \]
      4. *-commutative99.5%

        \[\leadsto \frac{\frac{\color{blue}{0.5 \cdot \pi}}{a + b}}{a \cdot b} \]
      5. associate-/l*99.5%

        \[\leadsto \frac{\color{blue}{0.5 \cdot \frac{\pi}{a + b}}}{a \cdot b} \]
      6. times-frac99.6%

        \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
    10. Applied egg-rr99.6%

      \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
    11. Taylor expanded in a around inf 85.9%

      \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\pi}{a \cdot b}} \]
    12. Step-by-step derivation
      1. associate-/r*85.8%

        \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\frac{\pi}{a}}{b}} \]
    13. Simplified85.8%

      \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\frac{\pi}{a}}{b}} \]

    if -9e-73 < a

    1. Initial program 82.4%

      \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
    2. Step-by-step derivation
      1. associate-*l*82.3%

        \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
      2. *-rgt-identity82.3%

        \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      3. associate-/l*82.3%

        \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      4. metadata-eval82.3%

        \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
      5. associate-*l/82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
      6. *-lft-identity82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
      7. sub-neg82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
      8. distribute-neg-frac82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
      9. metadata-eval82.4%

        \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
    3. Simplified82.4%

      \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
    4. Add Preprocessing
    5. Step-by-step derivation
      1. metadata-eval82.4%

        \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      2. div-inv82.4%

        \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
      3. *-commutative82.4%

        \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
      4. clear-num82.3%

        \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
      5. frac-times82.4%

        \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
      6. *-un-lft-identity82.4%

        \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
      7. frac-add82.4%

        \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
      8. associate-/r/82.4%

        \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
      9. *-un-lft-identity82.4%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      10. *-commutative82.4%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      11. neg-mul-182.4%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      12. sub-neg82.4%

        \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      13. flip-+99.7%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
      14. +-commutative99.7%

        \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    6. Applied egg-rr99.7%

      \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
    7. Step-by-step derivation
      1. *-commutative99.7%

        \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
      2. associate-/r*99.7%

        \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    8. Simplified99.7%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
    9. Step-by-step derivation
      1. associate-/r*99.6%

        \[\leadsto \color{blue}{\frac{\frac{\frac{\pi}{2}}{a + b}}{a \cdot b}} \]
      2. div-inv99.6%

        \[\leadsto \frac{\frac{\color{blue}{\pi \cdot \frac{1}{2}}}{a + b}}{a \cdot b} \]
      3. metadata-eval99.6%

        \[\leadsto \frac{\frac{\pi \cdot \color{blue}{0.5}}{a + b}}{a \cdot b} \]
      4. *-commutative99.6%

        \[\leadsto \frac{\frac{\color{blue}{0.5 \cdot \pi}}{a + b}}{a \cdot b} \]
      5. associate-/l*99.6%

        \[\leadsto \frac{\color{blue}{0.5 \cdot \frac{\pi}{a + b}}}{a \cdot b} \]
      6. times-frac93.2%

        \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
    10. Applied egg-rr93.2%

      \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
    11. Taylor expanded in a around 0 66.4%

      \[\leadsto \frac{0.5}{a} \cdot \frac{\color{blue}{\frac{\pi}{b}}}{b} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 8: 99.6% accurate, 1.9× speedup?

\[\begin{array}{l} \\ \frac{\pi}{a \cdot b} \cdot \frac{0.5}{a + b} \end{array} \]
(FPCore (a b) :precision binary64 (* (/ PI (* a b)) (/ 0.5 (+ a b))))
double code(double a, double b) {
	return (((double) M_PI) / (a * b)) * (0.5 / (a + b));
}
public static double code(double a, double b) {
	return (Math.PI / (a * b)) * (0.5 / (a + b));
}
def code(a, b):
	return (math.pi / (a * b)) * (0.5 / (a + b))
function code(a, b)
	return Float64(Float64(pi / Float64(a * b)) * Float64(0.5 / Float64(a + b)))
end
function tmp = code(a, b)
	tmp = (pi / (a * b)) * (0.5 / (a + b));
end
code[a_, b_] := N[(N[(Pi / N[(a * b), $MachinePrecision]), $MachinePrecision] * N[(0.5 / N[(a + b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{\pi}{a \cdot b} \cdot \frac{0.5}{a + b}
\end{array}
Derivation
  1. Initial program 82.2%

    \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
  2. Step-by-step derivation
    1. associate-*l*82.1%

      \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
    2. *-rgt-identity82.1%

      \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
    3. associate-/l*82.1%

      \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
    4. metadata-eval82.1%

      \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
    5. associate-*l/82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
    6. *-lft-identity82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
    7. sub-neg82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
    8. distribute-neg-frac82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
    9. metadata-eval82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
  3. Simplified82.2%

    \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
  4. Add Preprocessing
  5. Step-by-step derivation
    1. metadata-eval82.2%

      \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
    2. div-inv82.2%

      \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
    3. *-commutative82.2%

      \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
    4. clear-num82.1%

      \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
    5. frac-times82.2%

      \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
    6. *-un-lft-identity82.2%

      \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
    7. frac-add82.2%

      \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
    8. associate-/r/82.2%

      \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
    9. *-un-lft-identity82.2%

      \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    10. *-commutative82.2%

      \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    11. neg-mul-182.2%

      \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    12. sub-neg82.2%

      \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    13. flip-+99.3%

      \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    14. +-commutative99.3%

      \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
  6. Applied egg-rr99.3%

    \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
  7. Step-by-step derivation
    1. *-commutative99.3%

      \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
    2. associate-/r*99.3%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
  8. Simplified99.3%

    \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
  9. Step-by-step derivation
    1. div-inv99.3%

      \[\leadsto \frac{\color{blue}{\pi \cdot \frac{1}{2}}}{\left(a + b\right) \cdot \left(a \cdot b\right)} \]
    2. metadata-eval99.3%

      \[\leadsto \frac{\pi \cdot \color{blue}{0.5}}{\left(a + b\right) \cdot \left(a \cdot b\right)} \]
    3. *-commutative99.3%

      \[\leadsto \frac{\pi \cdot 0.5}{\color{blue}{\left(a \cdot b\right) \cdot \left(a + b\right)}} \]
    4. times-frac99.7%

      \[\leadsto \color{blue}{\frac{\pi}{a \cdot b} \cdot \frac{0.5}{a + b}} \]
  10. Applied egg-rr99.7%

    \[\leadsto \color{blue}{\frac{\pi}{a \cdot b} \cdot \frac{0.5}{a + b}} \]
  11. Add Preprocessing

Alternative 9: 99.0% accurate, 1.9× speedup?

\[\begin{array}{l} \\ \pi \cdot \frac{0.5}{\left(a + b\right) \cdot \left(a \cdot b\right)} \end{array} \]
(FPCore (a b) :precision binary64 (* PI (/ 0.5 (* (+ a b) (* a b)))))
double code(double a, double b) {
	return ((double) M_PI) * (0.5 / ((a + b) * (a * b)));
}
public static double code(double a, double b) {
	return Math.PI * (0.5 / ((a + b) * (a * b)));
}
def code(a, b):
	return math.pi * (0.5 / ((a + b) * (a * b)))
function code(a, b)
	return Float64(pi * Float64(0.5 / Float64(Float64(a + b) * Float64(a * b))))
end
function tmp = code(a, b)
	tmp = pi * (0.5 / ((a + b) * (a * b)));
end
code[a_, b_] := N[(Pi * N[(0.5 / N[(N[(a + b), $MachinePrecision] * N[(a * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\pi \cdot \frac{0.5}{\left(a + b\right) \cdot \left(a \cdot b\right)}
\end{array}
Derivation
  1. Initial program 82.2%

    \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
  2. Step-by-step derivation
    1. *-commutative82.2%

      \[\leadsto \color{blue}{\left(\frac{1}{a} - \frac{1}{b}\right) \cdot \left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right)} \]
    2. associate-*r*82.2%

      \[\leadsto \color{blue}{\left(\left(\frac{1}{a} - \frac{1}{b}\right) \cdot \frac{\pi}{2}\right) \cdot \frac{1}{b \cdot b - a \cdot a}} \]
    3. associate-*r/82.2%

      \[\leadsto \color{blue}{\frac{\left(\left(\frac{1}{a} - \frac{1}{b}\right) \cdot \frac{\pi}{2}\right) \cdot 1}{b \cdot b - a \cdot a}} \]
    4. associate-*r*82.2%

      \[\leadsto \frac{\color{blue}{\left(\frac{1}{a} - \frac{1}{b}\right) \cdot \left(\frac{\pi}{2} \cdot 1\right)}}{b \cdot b - a \cdot a} \]
    5. *-rgt-identity82.2%

      \[\leadsto \frac{\left(\frac{1}{a} - \frac{1}{b}\right) \cdot \color{blue}{\frac{\pi}{2}}}{b \cdot b - a \cdot a} \]
    6. sub-neg82.2%

      \[\leadsto \frac{\color{blue}{\left(\frac{1}{a} + \left(-\frac{1}{b}\right)\right)} \cdot \frac{\pi}{2}}{b \cdot b - a \cdot a} \]
    7. distribute-neg-frac82.2%

      \[\leadsto \frac{\left(\frac{1}{a} + \color{blue}{\frac{-1}{b}}\right) \cdot \frac{\pi}{2}}{b \cdot b - a \cdot a} \]
    8. metadata-eval82.2%

      \[\leadsto \frac{\left(\frac{1}{a} + \frac{\color{blue}{-1}}{b}\right) \cdot \frac{\pi}{2}}{b \cdot b - a \cdot a} \]
  3. Simplified82.2%

    \[\leadsto \color{blue}{\frac{\left(\frac{1}{a} + \frac{-1}{b}\right) \cdot \frac{\pi}{2}}{b \cdot b - a \cdot a}} \]
  4. Add Preprocessing
  5. Step-by-step derivation
    1. *-commutative82.2%

      \[\leadsto \frac{\color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{a} + \frac{-1}{b}\right)}}{b \cdot b - a \cdot a} \]
    2. associate-*r/82.2%

      \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
    3. div-inv82.2%

      \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
    4. metadata-eval82.2%

      \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
    5. associate-*l*82.2%

      \[\leadsto \color{blue}{\pi \cdot \left(0.5 \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}\right)} \]
    6. *-commutative82.2%

      \[\leadsto \color{blue}{\left(0.5 \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}\right) \cdot \pi} \]
  6. Applied egg-rr99.3%

    \[\leadsto \color{blue}{\frac{0.5}{\left(a + b\right) \cdot \left(a \cdot b\right)} \cdot \pi} \]
  7. Final simplification99.3%

    \[\leadsto \pi \cdot \frac{0.5}{\left(a + b\right) \cdot \left(a \cdot b\right)} \]
  8. Add Preprocessing

Alternative 10: 63.2% accurate, 2.3× speedup?

\[\begin{array}{l} \\ \frac{0.5}{a} \cdot \frac{\frac{\pi}{a}}{b} \end{array} \]
(FPCore (a b) :precision binary64 (* (/ 0.5 a) (/ (/ PI a) b)))
double code(double a, double b) {
	return (0.5 / a) * ((((double) M_PI) / a) / b);
}
public static double code(double a, double b) {
	return (0.5 / a) * ((Math.PI / a) / b);
}
def code(a, b):
	return (0.5 / a) * ((math.pi / a) / b)
function code(a, b)
	return Float64(Float64(0.5 / a) * Float64(Float64(pi / a) / b))
end
function tmp = code(a, b)
	tmp = (0.5 / a) * ((pi / a) / b);
end
code[a_, b_] := N[(N[(0.5 / a), $MachinePrecision] * N[(N[(Pi / a), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{0.5}{a} \cdot \frac{\frac{\pi}{a}}{b}
\end{array}
Derivation
  1. Initial program 82.2%

    \[\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right) \]
  2. Step-by-step derivation
    1. associate-*l*82.1%

      \[\leadsto \color{blue}{\frac{\pi}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right)} \]
    2. *-rgt-identity82.1%

      \[\leadsto \frac{\color{blue}{\pi \cdot 1}}{2} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
    3. associate-/l*82.1%

      \[\leadsto \color{blue}{\left(\pi \cdot \frac{1}{2}\right)} \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
    4. metadata-eval82.1%

      \[\leadsto \left(\pi \cdot \color{blue}{0.5}\right) \cdot \left(\frac{1}{b \cdot b - a \cdot a} \cdot \left(\frac{1}{a} - \frac{1}{b}\right)\right) \]
    5. associate-*l/82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \color{blue}{\frac{1 \cdot \left(\frac{1}{a} - \frac{1}{b}\right)}{b \cdot b - a \cdot a}} \]
    6. *-lft-identity82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} - \frac{1}{b}}}{b \cdot b - a \cdot a} \]
    7. sub-neg82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\color{blue}{\frac{1}{a} + \left(-\frac{1}{b}\right)}}{b \cdot b - a \cdot a} \]
    8. distribute-neg-frac82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \color{blue}{\frac{-1}{b}}}{b \cdot b - a \cdot a} \]
    9. metadata-eval82.2%

      \[\leadsto \left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{\color{blue}{-1}}{b}}{b \cdot b - a \cdot a} \]
  3. Simplified82.2%

    \[\leadsto \color{blue}{\left(\pi \cdot 0.5\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a}} \]
  4. Add Preprocessing
  5. Step-by-step derivation
    1. metadata-eval82.2%

      \[\leadsto \left(\pi \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
    2. div-inv82.2%

      \[\leadsto \color{blue}{\frac{\pi}{2}} \cdot \frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \]
    3. *-commutative82.2%

      \[\leadsto \color{blue}{\frac{\frac{1}{a} + \frac{-1}{b}}{b \cdot b - a \cdot a} \cdot \frac{\pi}{2}} \]
    4. clear-num82.1%

      \[\leadsto \color{blue}{\frac{1}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}}}} \cdot \frac{\pi}{2} \]
    5. frac-times82.2%

      \[\leadsto \color{blue}{\frac{1 \cdot \pi}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2}} \]
    6. *-un-lft-identity82.2%

      \[\leadsto \frac{\color{blue}{\pi}}{\frac{b \cdot b - a \cdot a}{\frac{1}{a} + \frac{-1}{b}} \cdot 2} \]
    7. frac-add82.2%

      \[\leadsto \frac{\pi}{\frac{b \cdot b - a \cdot a}{\color{blue}{\frac{1 \cdot b + a \cdot -1}{a \cdot b}}} \cdot 2} \]
    8. associate-/r/82.2%

      \[\leadsto \frac{\pi}{\color{blue}{\left(\frac{b \cdot b - a \cdot a}{1 \cdot b + a \cdot -1} \cdot \left(a \cdot b\right)\right)} \cdot 2} \]
    9. *-un-lft-identity82.2%

      \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b} + a \cdot -1} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    10. *-commutative82.2%

      \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{-1 \cdot a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    11. neg-mul-182.2%

      \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{b + \color{blue}{\left(-a\right)}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    12. sub-neg82.2%

      \[\leadsto \frac{\pi}{\left(\frac{b \cdot b - a \cdot a}{\color{blue}{b - a}} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    13. flip-+99.3%

      \[\leadsto \frac{\pi}{\left(\color{blue}{\left(b + a\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
    14. +-commutative99.3%

      \[\leadsto \frac{\pi}{\left(\color{blue}{\left(a + b\right)} \cdot \left(a \cdot b\right)\right) \cdot 2} \]
  6. Applied egg-rr99.3%

    \[\leadsto \color{blue}{\frac{\pi}{\left(\left(a + b\right) \cdot \left(a \cdot b\right)\right) \cdot 2}} \]
  7. Step-by-step derivation
    1. *-commutative99.3%

      \[\leadsto \frac{\pi}{\color{blue}{2 \cdot \left(\left(a + b\right) \cdot \left(a \cdot b\right)\right)}} \]
    2. associate-/r*99.3%

      \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
  8. Simplified99.3%

    \[\leadsto \color{blue}{\frac{\frac{\pi}{2}}{\left(a + b\right) \cdot \left(a \cdot b\right)}} \]
  9. Step-by-step derivation
    1. associate-/r*99.6%

      \[\leadsto \color{blue}{\frac{\frac{\frac{\pi}{2}}{a + b}}{a \cdot b}} \]
    2. div-inv99.6%

      \[\leadsto \frac{\frac{\color{blue}{\pi \cdot \frac{1}{2}}}{a + b}}{a \cdot b} \]
    3. metadata-eval99.6%

      \[\leadsto \frac{\frac{\pi \cdot \color{blue}{0.5}}{a + b}}{a \cdot b} \]
    4. *-commutative99.6%

      \[\leadsto \frac{\frac{\color{blue}{0.5 \cdot \pi}}{a + b}}{a \cdot b} \]
    5. associate-/l*99.6%

      \[\leadsto \frac{\color{blue}{0.5 \cdot \frac{\pi}{a + b}}}{a \cdot b} \]
    6. times-frac95.0%

      \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
  10. Applied egg-rr95.0%

    \[\leadsto \color{blue}{\frac{0.5}{a} \cdot \frac{\frac{\pi}{a + b}}{b}} \]
  11. Taylor expanded in a around inf 61.9%

    \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\pi}{a \cdot b}} \]
  12. Step-by-step derivation
    1. associate-/r*61.9%

      \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\frac{\pi}{a}}{b}} \]
  13. Simplified61.9%

    \[\leadsto \frac{0.5}{a} \cdot \color{blue}{\frac{\frac{\pi}{a}}{b}} \]
  14. Add Preprocessing

Reproduce

?
herbie shell --seed 2024182 
(FPCore (a b)
  :name "NMSE Section 6.1 mentioned, B"
  :precision binary64
  (* (* (/ PI 2.0) (/ 1.0 (- (* b b) (* a a)))) (- (/ 1.0 a) (/ 1.0 b))))