ABCF->ab-angle a

Percentage Accurate: 18.9% → 53.3%
Time: 18.7s
Alternatives: 12
Speedup: 16.9×

Specification

?
\[\begin{array}{l} \\ \begin{array}{l} t_0 := {B}^{2} - \left(4 \cdot A\right) \cdot C\\ \frac{-\sqrt{\left(2 \cdot \left(t\_0 \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{t\_0} \end{array} \end{array} \]
(FPCore (A B C F)
 :precision binary64
 (let* ((t_0 (- (pow B 2.0) (* (* 4.0 A) C))))
   (/
    (-
     (sqrt
      (*
       (* 2.0 (* t_0 F))
       (+ (+ A C) (sqrt (+ (pow (- A C) 2.0) (pow B 2.0)))))))
    t_0)))
double code(double A, double B, double C, double F) {
	double t_0 = pow(B, 2.0) - ((4.0 * A) * C);
	return -sqrt(((2.0 * (t_0 * F)) * ((A + C) + sqrt((pow((A - C), 2.0) + pow(B, 2.0)))))) / t_0;
}
real(8) function code(a, b, c, f)
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    real(8) :: t_0
    t_0 = (b ** 2.0d0) - ((4.0d0 * a) * c)
    code = -sqrt(((2.0d0 * (t_0 * f)) * ((a + c) + sqrt((((a - c) ** 2.0d0) + (b ** 2.0d0)))))) / t_0
end function
public static double code(double A, double B, double C, double F) {
	double t_0 = Math.pow(B, 2.0) - ((4.0 * A) * C);
	return -Math.sqrt(((2.0 * (t_0 * F)) * ((A + C) + Math.sqrt((Math.pow((A - C), 2.0) + Math.pow(B, 2.0)))))) / t_0;
}
def code(A, B, C, F):
	t_0 = math.pow(B, 2.0) - ((4.0 * A) * C)
	return -math.sqrt(((2.0 * (t_0 * F)) * ((A + C) + math.sqrt((math.pow((A - C), 2.0) + math.pow(B, 2.0)))))) / t_0
function code(A, B, C, F)
	t_0 = Float64((B ^ 2.0) - Float64(Float64(4.0 * A) * C))
	return Float64(Float64(-sqrt(Float64(Float64(2.0 * Float64(t_0 * F)) * Float64(Float64(A + C) + sqrt(Float64((Float64(A - C) ^ 2.0) + (B ^ 2.0))))))) / t_0)
end
function tmp = code(A, B, C, F)
	t_0 = (B ^ 2.0) - ((4.0 * A) * C);
	tmp = -sqrt(((2.0 * (t_0 * F)) * ((A + C) + sqrt((((A - C) ^ 2.0) + (B ^ 2.0)))))) / t_0;
end
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(N[Power[B, 2.0], $MachinePrecision] - N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]), $MachinePrecision]}, N[((-N[Sqrt[N[(N[(2.0 * N[(t$95$0 * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] + N[Sqrt[N[(N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]) / t$95$0), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := {B}^{2} - \left(4 \cdot A\right) \cdot C\\
\frac{-\sqrt{\left(2 \cdot \left(t\_0 \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{t\_0}
\end{array}
\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 12 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: 18.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := {B}^{2} - \left(4 \cdot A\right) \cdot C\\ \frac{-\sqrt{\left(2 \cdot \left(t\_0 \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{t\_0} \end{array} \end{array} \]
(FPCore (A B C F)
 :precision binary64
 (let* ((t_0 (- (pow B 2.0) (* (* 4.0 A) C))))
   (/
    (-
     (sqrt
      (*
       (* 2.0 (* t_0 F))
       (+ (+ A C) (sqrt (+ (pow (- A C) 2.0) (pow B 2.0)))))))
    t_0)))
double code(double A, double B, double C, double F) {
	double t_0 = pow(B, 2.0) - ((4.0 * A) * C);
	return -sqrt(((2.0 * (t_0 * F)) * ((A + C) + sqrt((pow((A - C), 2.0) + pow(B, 2.0)))))) / t_0;
}
real(8) function code(a, b, c, f)
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    real(8) :: t_0
    t_0 = (b ** 2.0d0) - ((4.0d0 * a) * c)
    code = -sqrt(((2.0d0 * (t_0 * f)) * ((a + c) + sqrt((((a - c) ** 2.0d0) + (b ** 2.0d0)))))) / t_0
end function
public static double code(double A, double B, double C, double F) {
	double t_0 = Math.pow(B, 2.0) - ((4.0 * A) * C);
	return -Math.sqrt(((2.0 * (t_0 * F)) * ((A + C) + Math.sqrt((Math.pow((A - C), 2.0) + Math.pow(B, 2.0)))))) / t_0;
}
def code(A, B, C, F):
	t_0 = math.pow(B, 2.0) - ((4.0 * A) * C)
	return -math.sqrt(((2.0 * (t_0 * F)) * ((A + C) + math.sqrt((math.pow((A - C), 2.0) + math.pow(B, 2.0)))))) / t_0
function code(A, B, C, F)
	t_0 = Float64((B ^ 2.0) - Float64(Float64(4.0 * A) * C))
	return Float64(Float64(-sqrt(Float64(Float64(2.0 * Float64(t_0 * F)) * Float64(Float64(A + C) + sqrt(Float64((Float64(A - C) ^ 2.0) + (B ^ 2.0))))))) / t_0)
end
function tmp = code(A, B, C, F)
	t_0 = (B ^ 2.0) - ((4.0 * A) * C);
	tmp = -sqrt(((2.0 * (t_0 * F)) * ((A + C) + sqrt((((A - C) ^ 2.0) + (B ^ 2.0)))))) / t_0;
end
code[A_, B_, C_, F_] := Block[{t$95$0 = N[(N[Power[B, 2.0], $MachinePrecision] - N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]), $MachinePrecision]}, N[((-N[Sqrt[N[(N[(2.0 * N[(t$95$0 * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] + N[Sqrt[N[(N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[B, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]) / t$95$0), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := {B}^{2} - \left(4 \cdot A\right) \cdot C\\
\frac{-\sqrt{\left(2 \cdot \left(t\_0 \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{t\_0}
\end{array}
\end{array}

Alternative 1: 53.3% accurate, 1.3× speedup?

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} t_0 := \left(4 \cdot A\right) \cdot C\\ \mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{-157}:\\ \;\;\;\;\frac{\sqrt{\left(2 \cdot \left(\left({B\_m}^{2} - t\_0\right) \cdot F\right)\right) \cdot \left(2 \cdot C\right)}}{t\_0 - {B\_m}^{2}}\\ \mathbf{elif}\;{B\_m}^{2} \leq 10^{+302}:\\ \;\;\;\;\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B\_m \cdot B\_m\right)} - A}} \cdot \left(-\sqrt{2}\right)\\ \mathbf{else}:\\ \;\;\;\;-\frac{\sqrt{2 \cdot F}}{\sqrt{B\_m}}\\ \end{array} \end{array} \]
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
 :precision binary64
 (let* ((t_0 (* (* 4.0 A) C)))
   (if (<= (pow B_m 2.0) 5e-157)
     (/
      (sqrt (* (* 2.0 (* (- (pow B_m 2.0) t_0) F)) (* 2.0 C)))
      (- t_0 (pow B_m 2.0)))
     (if (<= (pow B_m 2.0) 1e+302)
       (* (sqrt (/ F (- (sqrt (fma A A (* B_m B_m))) A))) (- (sqrt 2.0)))
       (- (/ (sqrt (* 2.0 F)) (sqrt B_m)))))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
	double t_0 = (4.0 * A) * C;
	double tmp;
	if (pow(B_m, 2.0) <= 5e-157) {
		tmp = sqrt(((2.0 * ((pow(B_m, 2.0) - t_0) * F)) * (2.0 * C))) / (t_0 - pow(B_m, 2.0));
	} else if (pow(B_m, 2.0) <= 1e+302) {
		tmp = sqrt((F / (sqrt(fma(A, A, (B_m * B_m))) - A))) * -sqrt(2.0);
	} else {
		tmp = -(sqrt((2.0 * F)) / sqrt(B_m));
	}
	return tmp;
}
B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	t_0 = Float64(Float64(4.0 * A) * C)
	tmp = 0.0
	if ((B_m ^ 2.0) <= 5e-157)
		tmp = Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B_m ^ 2.0) - t_0) * F)) * Float64(2.0 * C))) / Float64(t_0 - (B_m ^ 2.0)));
	elseif ((B_m ^ 2.0) <= 1e+302)
		tmp = Float64(sqrt(Float64(F / Float64(sqrt(fma(A, A, Float64(B_m * B_m))) - A))) * Float64(-sqrt(2.0)));
	else
		tmp = Float64(-Float64(sqrt(Float64(2.0 * F)) / sqrt(B_m)));
	end
	return tmp
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 5e-157], N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B$95$m, 2.0], $MachinePrecision] - t$95$0), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(2.0 * C), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$0 - N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 1e+302], N[(N[Sqrt[N[(F / N[(N[Sqrt[N[(A * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-N[Sqrt[2.0], $MachinePrecision])), $MachinePrecision], (-N[(N[Sqrt[N[(2.0 * F), $MachinePrecision]], $MachinePrecision] / N[Sqrt[B$95$m], $MachinePrecision]), $MachinePrecision])]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := \left(4 \cdot A\right) \cdot C\\
\mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{-157}:\\
\;\;\;\;\frac{\sqrt{\left(2 \cdot \left(\left({B\_m}^{2} - t\_0\right) \cdot F\right)\right) \cdot \left(2 \cdot C\right)}}{t\_0 - {B\_m}^{2}}\\

\mathbf{elif}\;{B\_m}^{2} \leq 10^{+302}:\\
\;\;\;\;\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B\_m \cdot B\_m\right)} - A}} \cdot \left(-\sqrt{2}\right)\\

\mathbf{else}:\\
\;\;\;\;-\frac{\sqrt{2 \cdot F}}{\sqrt{B\_m}}\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (pow.f64 B #s(literal 2 binary64)) < 5.0000000000000002e-157

    1. Initial program 23.7%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Taylor expanded in A around -inf

      \[\leadsto \frac{\mathsf{neg}\left(\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \color{blue}{\left(2 \cdot C\right)}}\right)}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    4. Step-by-step derivation
      1. lower-*.f6424.0

        \[\leadsto \frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \color{blue}{\left(2 \cdot C\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    5. Applied rewrites24.0%

      \[\leadsto \frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \color{blue}{\left(2 \cdot C\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

    if 5.0000000000000002e-157 < (pow.f64 B #s(literal 2 binary64)) < 1.0000000000000001e302

    1. Initial program 26.8%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Applied rewrites26.8%

      \[\leadsto \color{blue}{\frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} + \left(A + C\right)\right)}}}} \]
    4. Step-by-step derivation
      1. lift--.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\color{blue}{\left(A - C\right)} \cdot \left(A - C\right) + B \cdot B} + \left(A + C\right)\right)}}} \]
      2. lift--.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\left(A - C\right) \cdot \color{blue}{\left(A - C\right)} + B \cdot B} + \left(A + C\right)\right)}}} \]
      3. lift-*.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\left(A - C\right) \cdot \left(A - C\right) + \color{blue}{B \cdot B}} + \left(A + C\right)\right)}}} \]
      4. lift-fma.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\color{blue}{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)}} + \left(A + C\right)\right)}}} \]
      5. lift-sqrt.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\color{blue}{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)}} + \left(A + C\right)\right)}}} \]
      6. lift-+.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} + \color{blue}{\left(A + C\right)}\right)}}} \]
      7. flip-+N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \color{blue}{\frac{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} \cdot \sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} - \left(A + C\right) \cdot \left(A + C\right)}{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} - \left(A + C\right)}}}}} \]
      8. lower-/.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \color{blue}{\frac{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} \cdot \sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} - \left(A + C\right) \cdot \left(A + C\right)}{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} - \left(A + C\right)}}}}} \]
    5. Applied rewrites20.6%

      \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \color{blue}{\frac{\mathsf{fma}\left(B, B, \left(A - C\right) \cdot \left(A - C\right)\right) - \left(A + C\right) \cdot \left(A + C\right)}{\sqrt{\mathsf{fma}\left(B, B, \left(A - C\right) \cdot \left(A - C\right)\right)} - \left(A + C\right)}}}}} \]
    6. Taylor expanded in C around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}} \cdot \sqrt{2}\right)} \]
    7. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}} \cdot \sqrt{2}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}} \cdot \sqrt{2}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}} \cdot \sqrt{2}}\right) \]
      4. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}}} \cdot \sqrt{2}\right) \]
      5. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}}} \cdot \sqrt{2}\right) \]
      6. lower--.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\color{blue}{\sqrt{{A}^{2} + {B}^{2}} - A}}} \cdot \sqrt{2}\right) \]
      7. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\color{blue}{\sqrt{{A}^{2} + {B}^{2}}} - A}} \cdot \sqrt{2}\right) \]
      8. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{\color{blue}{A \cdot A} + {B}^{2}} - A}} \cdot \sqrt{2}\right) \]
      9. lower-fma.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{\color{blue}{\mathsf{fma}\left(A, A, {B}^{2}\right)}} - A}} \cdot \sqrt{2}\right) \]
      10. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, \color{blue}{B \cdot B}\right)} - A}} \cdot \sqrt{2}\right) \]
      11. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, \color{blue}{B \cdot B}\right)} - A}} \cdot \sqrt{2}\right) \]
      12. lower-sqrt.f6444.6

        \[\leadsto -\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B \cdot B\right)} - A}} \cdot \color{blue}{\sqrt{2}} \]
    8. Applied rewrites44.6%

      \[\leadsto \color{blue}{-\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B \cdot B\right)} - A}} \cdot \sqrt{2}} \]

    if 1.0000000000000001e302 < (pow.f64 B #s(literal 2 binary64))

    1. Initial program 0.0%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      3. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      4. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
      7. lower-/.f6418.9

        \[\leadsto -\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}} \]
    5. Applied rewrites18.9%

      \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}}\right) \]
      2. sqrt-unprodN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
      3. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2 \cdot \color{blue}{\frac{F}{B}}}\right) \]
      4. associate-*r/N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{2 \cdot F}{B}}}\right) \]
      5. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      7. sqrt-divN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{F \cdot 2}}{\sqrt{B}}}\right) \]
      8. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{{\left(F \cdot 2\right)}^{\frac{1}{2}}}}{\sqrt{B}}\right) \]
      9. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(F \cdot 2\right)}^{\frac{1}{2}}}{\sqrt{B}}}\right) \]
      10. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
      11. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
      12. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{F \cdot 2}}}{\sqrt{B}}\right) \]
      13. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      15. lower-sqrt.f6427.3

        \[\leadsto -\frac{\sqrt{2 \cdot F}}{\color{blue}{\sqrt{B}}} \]
    7. Applied rewrites27.3%

      \[\leadsto -\color{blue}{\frac{\sqrt{2 \cdot F}}{\sqrt{B}}} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification32.6%

    \[\leadsto \begin{array}{l} \mathbf{if}\;{B}^{2} \leq 5 \cdot 10^{-157}:\\ \;\;\;\;\frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(2 \cdot C\right)}}{\left(4 \cdot A\right) \cdot C - {B}^{2}}\\ \mathbf{elif}\;{B}^{2} \leq 10^{+302}:\\ \;\;\;\;\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B \cdot B\right)} - A}} \cdot \left(-\sqrt{2}\right)\\ \mathbf{else}:\\ \;\;\;\;-\frac{\sqrt{2 \cdot F}}{\sqrt{B}}\\ \end{array} \]
  5. Add Preprocessing

Alternative 2: 44.8% accurate, 0.9× speedup?

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} t_0 := \left(4 \cdot A\right) \cdot C\\ \mathbf{if}\;\frac{\sqrt{\left(2 \cdot \left(\left({B\_m}^{2} - t\_0\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{B\_m}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_0 - {B\_m}^{2}} \leq 10^{+214}:\\ \;\;\;\;\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B\_m \cdot B\_m\right)} - A}} \cdot \left(-\sqrt{2}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{-\sqrt{F}}{\sqrt{B\_m \cdot 0.5}}\\ \end{array} \end{array} \]
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
 :precision binary64
 (let* ((t_0 (* (* 4.0 A) C)))
   (if (<=
        (/
         (sqrt
          (*
           (* 2.0 (* (- (pow B_m 2.0) t_0) F))
           (+ (+ A C) (sqrt (+ (pow B_m 2.0) (pow (- A C) 2.0))))))
         (- t_0 (pow B_m 2.0)))
        1e+214)
     (* (sqrt (/ F (- (sqrt (fma A A (* B_m B_m))) A))) (- (sqrt 2.0)))
     (/ (- (sqrt F)) (sqrt (* B_m 0.5))))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
	double t_0 = (4.0 * A) * C;
	double tmp;
	if ((sqrt(((2.0 * ((pow(B_m, 2.0) - t_0) * F)) * ((A + C) + sqrt((pow(B_m, 2.0) + pow((A - C), 2.0)))))) / (t_0 - pow(B_m, 2.0))) <= 1e+214) {
		tmp = sqrt((F / (sqrt(fma(A, A, (B_m * B_m))) - A))) * -sqrt(2.0);
	} else {
		tmp = -sqrt(F) / sqrt((B_m * 0.5));
	}
	return tmp;
}
B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	t_0 = Float64(Float64(4.0 * A) * C)
	tmp = 0.0
	if (Float64(sqrt(Float64(Float64(2.0 * Float64(Float64((B_m ^ 2.0) - t_0) * F)) * Float64(Float64(A + C) + sqrt(Float64((B_m ^ 2.0) + (Float64(A - C) ^ 2.0)))))) / Float64(t_0 - (B_m ^ 2.0))) <= 1e+214)
		tmp = Float64(sqrt(Float64(F / Float64(sqrt(fma(A, A, Float64(B_m * B_m))) - A))) * Float64(-sqrt(2.0)));
	else
		tmp = Float64(Float64(-sqrt(F)) / sqrt(Float64(B_m * 0.5)));
	end
	return tmp
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]}, If[LessEqual[N[(N[Sqrt[N[(N[(2.0 * N[(N[(N[Power[B$95$m, 2.0], $MachinePrecision] - t$95$0), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision] * N[(N[(A + C), $MachinePrecision] + N[Sqrt[N[(N[Power[B$95$m, 2.0], $MachinePrecision] + N[Power[N[(A - C), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(t$95$0 - N[Power[B$95$m, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1e+214], N[(N[Sqrt[N[(F / N[(N[Sqrt[N[(A * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-N[Sqrt[2.0], $MachinePrecision])), $MachinePrecision], N[((-N[Sqrt[F], $MachinePrecision]) / N[Sqrt[N[(B$95$m * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := \left(4 \cdot A\right) \cdot C\\
\mathbf{if}\;\frac{\sqrt{\left(2 \cdot \left(\left({B\_m}^{2} - t\_0\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{B\_m}^{2} + {\left(A - C\right)}^{2}}\right)}}{t\_0 - {B\_m}^{2}} \leq 10^{+214}:\\
\;\;\;\;\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B\_m \cdot B\_m\right)} - A}} \cdot \left(-\sqrt{2}\right)\\

\mathbf{else}:\\
\;\;\;\;\frac{-\sqrt{F}}{\sqrt{B\_m \cdot 0.5}}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C))) < 9.9999999999999995e213

    1. Initial program 34.3%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Applied rewrites34.4%

      \[\leadsto \color{blue}{\frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} + \left(A + C\right)\right)}}}} \]
    4. Step-by-step derivation
      1. lift--.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\color{blue}{\left(A - C\right)} \cdot \left(A - C\right) + B \cdot B} + \left(A + C\right)\right)}}} \]
      2. lift--.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\left(A - C\right) \cdot \color{blue}{\left(A - C\right)} + B \cdot B} + \left(A + C\right)\right)}}} \]
      3. lift-*.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\left(A - C\right) \cdot \left(A - C\right) + \color{blue}{B \cdot B}} + \left(A + C\right)\right)}}} \]
      4. lift-fma.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\color{blue}{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)}} + \left(A + C\right)\right)}}} \]
      5. lift-sqrt.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\color{blue}{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)}} + \left(A + C\right)\right)}}} \]
      6. lift-+.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} + \color{blue}{\left(A + C\right)}\right)}}} \]
      7. flip-+N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \color{blue}{\frac{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} \cdot \sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} - \left(A + C\right) \cdot \left(A + C\right)}{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} - \left(A + C\right)}}}}} \]
      8. lower-/.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \color{blue}{\frac{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} \cdot \sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} - \left(A + C\right) \cdot \left(A + C\right)}{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} - \left(A + C\right)}}}}} \]
    5. Applied rewrites16.4%

      \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \color{blue}{\frac{\mathsf{fma}\left(B, B, \left(A - C\right) \cdot \left(A - C\right)\right) - \left(A + C\right) \cdot \left(A + C\right)}{\sqrt{\mathsf{fma}\left(B, B, \left(A - C\right) \cdot \left(A - C\right)\right)} - \left(A + C\right)}}}}} \]
    6. Taylor expanded in C around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}} \cdot \sqrt{2}\right)} \]
    7. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}} \cdot \sqrt{2}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}} \cdot \sqrt{2}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}} \cdot \sqrt{2}}\right) \]
      4. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}}} \cdot \sqrt{2}\right) \]
      5. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}}} \cdot \sqrt{2}\right) \]
      6. lower--.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\color{blue}{\sqrt{{A}^{2} + {B}^{2}} - A}}} \cdot \sqrt{2}\right) \]
      7. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\color{blue}{\sqrt{{A}^{2} + {B}^{2}}} - A}} \cdot \sqrt{2}\right) \]
      8. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{\color{blue}{A \cdot A} + {B}^{2}} - A}} \cdot \sqrt{2}\right) \]
      9. lower-fma.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{\color{blue}{\mathsf{fma}\left(A, A, {B}^{2}\right)}} - A}} \cdot \sqrt{2}\right) \]
      10. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, \color{blue}{B \cdot B}\right)} - A}} \cdot \sqrt{2}\right) \]
      11. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, \color{blue}{B \cdot B}\right)} - A}} \cdot \sqrt{2}\right) \]
      12. lower-sqrt.f6436.7

        \[\leadsto -\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B \cdot B\right)} - A}} \cdot \color{blue}{\sqrt{2}} \]
    8. Applied rewrites36.7%

      \[\leadsto \color{blue}{-\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B \cdot B\right)} - A}} \cdot \sqrt{2}} \]

    if 9.9999999999999995e213 < (/.f64 (neg.f64 (sqrt.f64 (*.f64 (*.f64 #s(literal 2 binary64) (*.f64 (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)) F)) (+.f64 (+.f64 A C) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))))) (-.f64 (pow.f64 B #s(literal 2 binary64)) (*.f64 (*.f64 #s(literal 4 binary64) A) C)))

    1. Initial program 0.3%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      3. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      4. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
      7. lower-/.f6412.0

        \[\leadsto -\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}} \]
    5. Applied rewrites12.0%

      \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}}\right) \]
      2. sqrt-unprodN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
      3. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2 \cdot \color{blue}{\frac{F}{B}}}\right) \]
      4. associate-*r/N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{2 \cdot F}{B}}}\right) \]
      5. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      7. sqrt-divN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{F \cdot 2}}{\sqrt{B}}}\right) \]
      8. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{{\left(F \cdot 2\right)}^{\frac{1}{2}}}}{\sqrt{B}}\right) \]
      9. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(F \cdot 2\right)}^{\frac{1}{2}}}{\sqrt{B}}}\right) \]
      10. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
      11. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
      12. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{F \cdot 2}}}{\sqrt{B}}\right) \]
      13. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      15. lower-sqrt.f6417.4

        \[\leadsto -\frac{\sqrt{2 \cdot F}}{\color{blue}{\sqrt{B}}} \]
    7. Applied rewrites17.4%

      \[\leadsto -\color{blue}{\frac{\sqrt{2 \cdot F}}{\sqrt{B}}} \]
    8. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      2. sqrt-divN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{\frac{2 \cdot F}{B}}}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{2 \cdot F}}{B}}\right) \]
      4. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      5. associate-/l*N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{F \cdot \frac{2}{B}}}\right) \]
      6. sqrt-prodN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F} \cdot \sqrt{\frac{2}{B}}}\right) \]
      7. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{{F}^{\frac{1}{2}}} \cdot \sqrt{\frac{2}{B}}\right) \]
      8. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{{F}^{\frac{1}{2}} \cdot \sqrt{\frac{2}{B}}}\right) \]
      9. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
      10. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
      11. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \color{blue}{\sqrt{\frac{2}{B}}}\right) \]
      12. lower-/.f6417.3

        \[\leadsto -\sqrt{F} \cdot \sqrt{\color{blue}{\frac{2}{B}}} \]
    9. Applied rewrites17.3%

      \[\leadsto -\color{blue}{\sqrt{F} \cdot \sqrt{\frac{2}{B}}} \]
    10. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
      2. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \sqrt{\color{blue}{\frac{2}{B}}}\right) \]
      3. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \color{blue}{\sqrt{\frac{2}{B}}}\right) \]
      4. distribute-lft-neg-inN/A

        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\frac{2}{B}}} \]
      5. lift-sqrt.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \color{blue}{\sqrt{\frac{2}{B}}} \]
      6. lift-/.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\color{blue}{\frac{2}{B}}} \]
      7. clear-numN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\color{blue}{\frac{1}{\frac{B}{2}}}} \]
      8. metadata-evalN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\frac{\color{blue}{\mathsf{neg}\left(-1\right)}}{\frac{B}{2}}} \]
      9. sqrt-divN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(-1\right)}}{\sqrt{\frac{B}{2}}}} \]
      10. metadata-evalN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \frac{\sqrt{\color{blue}{1}}}{\sqrt{\frac{B}{2}}} \]
      11. metadata-evalN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \frac{\color{blue}{1}}{\sqrt{\frac{B}{2}}} \]
      12. un-div-invN/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{\frac{B}{2}}}} \]
      13. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{\frac{B}{2}}}} \]
      14. lower-neg.f64N/A

        \[\leadsto \frac{\color{blue}{\mathsf{neg}\left(\sqrt{F}\right)}}{\sqrt{\frac{B}{2}}} \]
      15. lower-sqrt.f64N/A

        \[\leadsto \frac{\mathsf{neg}\left(\sqrt{F}\right)}{\color{blue}{\sqrt{\frac{B}{2}}}} \]
      16. div-invN/A

        \[\leadsto \frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{\color{blue}{B \cdot \frac{1}{2}}}} \]
      17. metadata-evalN/A

        \[\leadsto \frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{B \cdot \color{blue}{\frac{1}{2}}}} \]
      18. lower-*.f6417.4

        \[\leadsto \frac{-\sqrt{F}}{\sqrt{\color{blue}{B \cdot 0.5}}} \]
    11. Applied rewrites17.4%

      \[\leadsto \color{blue}{\frac{-\sqrt{F}}{\sqrt{B \cdot 0.5}}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification28.0%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right)}}{\left(4 \cdot A\right) \cdot C - {B}^{2}} \leq 10^{+214}:\\ \;\;\;\;\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B \cdot B\right)} - A}} \cdot \left(-\sqrt{2}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{-\sqrt{F}}{\sqrt{B \cdot 0.5}}\\ \end{array} \]
  5. Add Preprocessing

Alternative 3: 53.2% accurate, 1.8× speedup?

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} t_0 := \mathsf{fma}\left(B\_m, B\_m, -4 \cdot \left(A \cdot C\right)\right)\\ \mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{-157}:\\ \;\;\;\;\frac{-1}{\frac{t\_0}{\sqrt{\left(2 \cdot C\right) \cdot \left(t\_0 \cdot \left(2 \cdot F\right)\right)}}}\\ \mathbf{elif}\;{B\_m}^{2} \leq 10^{+302}:\\ \;\;\;\;\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B\_m \cdot B\_m\right)} - A}} \cdot \left(-\sqrt{2}\right)\\ \mathbf{else}:\\ \;\;\;\;-\frac{\sqrt{2 \cdot F}}{\sqrt{B\_m}}\\ \end{array} \end{array} \]
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
 :precision binary64
 (let* ((t_0 (fma B_m B_m (* -4.0 (* A C)))))
   (if (<= (pow B_m 2.0) 5e-157)
     (/ -1.0 (/ t_0 (sqrt (* (* 2.0 C) (* t_0 (* 2.0 F))))))
     (if (<= (pow B_m 2.0) 1e+302)
       (* (sqrt (/ F (- (sqrt (fma A A (* B_m B_m))) A))) (- (sqrt 2.0)))
       (- (/ (sqrt (* 2.0 F)) (sqrt B_m)))))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
	double t_0 = fma(B_m, B_m, (-4.0 * (A * C)));
	double tmp;
	if (pow(B_m, 2.0) <= 5e-157) {
		tmp = -1.0 / (t_0 / sqrt(((2.0 * C) * (t_0 * (2.0 * F)))));
	} else if (pow(B_m, 2.0) <= 1e+302) {
		tmp = sqrt((F / (sqrt(fma(A, A, (B_m * B_m))) - A))) * -sqrt(2.0);
	} else {
		tmp = -(sqrt((2.0 * F)) / sqrt(B_m));
	}
	return tmp;
}
B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	t_0 = fma(B_m, B_m, Float64(-4.0 * Float64(A * C)))
	tmp = 0.0
	if ((B_m ^ 2.0) <= 5e-157)
		tmp = Float64(-1.0 / Float64(t_0 / sqrt(Float64(Float64(2.0 * C) * Float64(t_0 * Float64(2.0 * F))))));
	elseif ((B_m ^ 2.0) <= 1e+302)
		tmp = Float64(sqrt(Float64(F / Float64(sqrt(fma(A, A, Float64(B_m * B_m))) - A))) * Float64(-sqrt(2.0)));
	else
		tmp = Float64(-Float64(sqrt(Float64(2.0 * F)) / sqrt(B_m)));
	end
	return tmp
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := Block[{t$95$0 = N[(B$95$m * B$95$m + N[(-4.0 * N[(A * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 5e-157], N[(-1.0 / N[(t$95$0 / N[Sqrt[N[(N[(2.0 * C), $MachinePrecision] * N[(t$95$0 * N[(2.0 * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 1e+302], N[(N[Sqrt[N[(F / N[(N[Sqrt[N[(A * A + N[(B$95$m * B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - A), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * (-N[Sqrt[2.0], $MachinePrecision])), $MachinePrecision], (-N[(N[Sqrt[N[(2.0 * F), $MachinePrecision]], $MachinePrecision] / N[Sqrt[B$95$m], $MachinePrecision]), $MachinePrecision])]]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(B\_m, B\_m, -4 \cdot \left(A \cdot C\right)\right)\\
\mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{-157}:\\
\;\;\;\;\frac{-1}{\frac{t\_0}{\sqrt{\left(2 \cdot C\right) \cdot \left(t\_0 \cdot \left(2 \cdot F\right)\right)}}}\\

\mathbf{elif}\;{B\_m}^{2} \leq 10^{+302}:\\
\;\;\;\;\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B\_m \cdot B\_m\right)} - A}} \cdot \left(-\sqrt{2}\right)\\

\mathbf{else}:\\
\;\;\;\;-\frac{\sqrt{2 \cdot F}}{\sqrt{B\_m}}\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (pow.f64 B #s(literal 2 binary64)) < 5.0000000000000002e-157

    1. Initial program 23.7%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Applied rewrites23.7%

      \[\leadsto \color{blue}{\frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} + \left(A + C\right)\right)}}}} \]
    4. Taylor expanded in A around -inf

      \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \color{blue}{\left(2 \cdot C\right)}}}} \]
    5. Step-by-step derivation
      1. lower-*.f6424.0

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \color{blue}{\left(2 \cdot C\right)}}}} \]
    6. Applied rewrites24.0%

      \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \color{blue}{\left(2 \cdot C\right)}}}} \]

    if 5.0000000000000002e-157 < (pow.f64 B #s(literal 2 binary64)) < 1.0000000000000001e302

    1. Initial program 26.8%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Applied rewrites26.8%

      \[\leadsto \color{blue}{\frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} + \left(A + C\right)\right)}}}} \]
    4. Step-by-step derivation
      1. lift--.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\color{blue}{\left(A - C\right)} \cdot \left(A - C\right) + B \cdot B} + \left(A + C\right)\right)}}} \]
      2. lift--.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\left(A - C\right) \cdot \color{blue}{\left(A - C\right)} + B \cdot B} + \left(A + C\right)\right)}}} \]
      3. lift-*.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\left(A - C\right) \cdot \left(A - C\right) + \color{blue}{B \cdot B}} + \left(A + C\right)\right)}}} \]
      4. lift-fma.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\color{blue}{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)}} + \left(A + C\right)\right)}}} \]
      5. lift-sqrt.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\color{blue}{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)}} + \left(A + C\right)\right)}}} \]
      6. lift-+.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} + \color{blue}{\left(A + C\right)}\right)}}} \]
      7. flip-+N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \color{blue}{\frac{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} \cdot \sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} - \left(A + C\right) \cdot \left(A + C\right)}{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} - \left(A + C\right)}}}}} \]
      8. lower-/.f64N/A

        \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \color{blue}{\frac{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} \cdot \sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} - \left(A + C\right) \cdot \left(A + C\right)}{\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} - \left(A + C\right)}}}}} \]
    5. Applied rewrites20.6%

      \[\leadsto \frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \color{blue}{\frac{\mathsf{fma}\left(B, B, \left(A - C\right) \cdot \left(A - C\right)\right) - \left(A + C\right) \cdot \left(A + C\right)}{\sqrt{\mathsf{fma}\left(B, B, \left(A - C\right) \cdot \left(A - C\right)\right)} - \left(A + C\right)}}}}} \]
    6. Taylor expanded in C around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}} \cdot \sqrt{2}\right)} \]
    7. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}} \cdot \sqrt{2}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}} \cdot \sqrt{2}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}} \cdot \sqrt{2}}\right) \]
      4. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}}} \cdot \sqrt{2}\right) \]
      5. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{F}{\sqrt{{A}^{2} + {B}^{2}} - A}}} \cdot \sqrt{2}\right) \]
      6. lower--.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\color{blue}{\sqrt{{A}^{2} + {B}^{2}} - A}}} \cdot \sqrt{2}\right) \]
      7. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\color{blue}{\sqrt{{A}^{2} + {B}^{2}}} - A}} \cdot \sqrt{2}\right) \]
      8. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{\color{blue}{A \cdot A} + {B}^{2}} - A}} \cdot \sqrt{2}\right) \]
      9. lower-fma.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{\color{blue}{\mathsf{fma}\left(A, A, {B}^{2}\right)}} - A}} \cdot \sqrt{2}\right) \]
      10. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, \color{blue}{B \cdot B}\right)} - A}} \cdot \sqrt{2}\right) \]
      11. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, \color{blue}{B \cdot B}\right)} - A}} \cdot \sqrt{2}\right) \]
      12. lower-sqrt.f6444.6

        \[\leadsto -\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B \cdot B\right)} - A}} \cdot \color{blue}{\sqrt{2}} \]
    8. Applied rewrites44.6%

      \[\leadsto \color{blue}{-\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B \cdot B\right)} - A}} \cdot \sqrt{2}} \]

    if 1.0000000000000001e302 < (pow.f64 B #s(literal 2 binary64))

    1. Initial program 0.0%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      3. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      4. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
      7. lower-/.f6418.9

        \[\leadsto -\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}} \]
    5. Applied rewrites18.9%

      \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}}\right) \]
      2. sqrt-unprodN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
      3. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2 \cdot \color{blue}{\frac{F}{B}}}\right) \]
      4. associate-*r/N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{2 \cdot F}{B}}}\right) \]
      5. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      7. sqrt-divN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{F \cdot 2}}{\sqrt{B}}}\right) \]
      8. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{{\left(F \cdot 2\right)}^{\frac{1}{2}}}}{\sqrt{B}}\right) \]
      9. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(F \cdot 2\right)}^{\frac{1}{2}}}{\sqrt{B}}}\right) \]
      10. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
      11. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
      12. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{F \cdot 2}}}{\sqrt{B}}\right) \]
      13. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      15. lower-sqrt.f6427.3

        \[\leadsto -\frac{\sqrt{2 \cdot F}}{\color{blue}{\sqrt{B}}} \]
    7. Applied rewrites27.3%

      \[\leadsto -\color{blue}{\frac{\sqrt{2 \cdot F}}{\sqrt{B}}} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification32.6%

    \[\leadsto \begin{array}{l} \mathbf{if}\;{B}^{2} \leq 5 \cdot 10^{-157}:\\ \;\;\;\;\frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(2 \cdot C\right) \cdot \left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(2 \cdot F\right)\right)}}}\\ \mathbf{elif}\;{B}^{2} \leq 10^{+302}:\\ \;\;\;\;\sqrt{\frac{F}{\sqrt{\mathsf{fma}\left(A, A, B \cdot B\right)} - A}} \cdot \left(-\sqrt{2}\right)\\ \mathbf{else}:\\ \;\;\;\;-\frac{\sqrt{2 \cdot F}}{\sqrt{B}}\\ \end{array} \]
  5. Add Preprocessing

Alternative 4: 36.7% accurate, 8.8× speedup?

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;C \leq 3 \cdot 10^{+128}:\\ \;\;\;\;\frac{-\sqrt{F}}{\sqrt{B\_m \cdot 0.5}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\sqrt{C}}{B\_m} \cdot \left(-\frac{\sqrt{F}}{0.5}\right)\\ \end{array} \end{array} \]
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
 :precision binary64
 (if (<= C 3e+128)
   (/ (- (sqrt F)) (sqrt (* B_m 0.5)))
   (* (/ (sqrt C) B_m) (- (/ (sqrt F) 0.5)))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
	double tmp;
	if (C <= 3e+128) {
		tmp = -sqrt(F) / sqrt((B_m * 0.5));
	} else {
		tmp = (sqrt(C) / B_m) * -(sqrt(F) / 0.5);
	}
	return tmp;
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
real(8) function code(a, b_m, c, f)
    real(8), intent (in) :: a
    real(8), intent (in) :: b_m
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    real(8) :: tmp
    if (c <= 3d+128) then
        tmp = -sqrt(f) / sqrt((b_m * 0.5d0))
    else
        tmp = (sqrt(c) / b_m) * -(sqrt(f) / 0.5d0)
    end if
    code = tmp
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
	double tmp;
	if (C <= 3e+128) {
		tmp = -Math.sqrt(F) / Math.sqrt((B_m * 0.5));
	} else {
		tmp = (Math.sqrt(C) / B_m) * -(Math.sqrt(F) / 0.5);
	}
	return tmp;
}
B_m = math.fabs(B)
[A, B_m, C, F] = sort([A, B_m, C, F])
def code(A, B_m, C, F):
	tmp = 0
	if C <= 3e+128:
		tmp = -math.sqrt(F) / math.sqrt((B_m * 0.5))
	else:
		tmp = (math.sqrt(C) / B_m) * -(math.sqrt(F) / 0.5)
	return tmp
B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	tmp = 0.0
	if (C <= 3e+128)
		tmp = Float64(Float64(-sqrt(F)) / sqrt(Float64(B_m * 0.5)));
	else
		tmp = Float64(Float64(sqrt(C) / B_m) * Float64(-Float64(sqrt(F) / 0.5)));
	end
	return tmp
end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp_2 = code(A, B_m, C, F)
	tmp = 0.0;
	if (C <= 3e+128)
		tmp = -sqrt(F) / sqrt((B_m * 0.5));
	else
		tmp = (sqrt(C) / B_m) * -(sqrt(F) / 0.5);
	end
	tmp_2 = tmp;
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := If[LessEqual[C, 3e+128], N[((-N[Sqrt[F], $MachinePrecision]) / N[Sqrt[N[(B$95$m * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[C], $MachinePrecision] / B$95$m), $MachinePrecision] * (-N[(N[Sqrt[F], $MachinePrecision] / 0.5), $MachinePrecision])), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
\mathbf{if}\;C \leq 3 \cdot 10^{+128}:\\
\;\;\;\;\frac{-\sqrt{F}}{\sqrt{B\_m \cdot 0.5}}\\

\mathbf{else}:\\
\;\;\;\;\frac{\sqrt{C}}{B\_m} \cdot \left(-\frac{\sqrt{F}}{0.5}\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if C < 2.9999999999999998e128

    1. Initial program 20.9%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      3. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      4. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
      7. lower-/.f6415.5

        \[\leadsto -\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}} \]
    5. Applied rewrites15.5%

      \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}}\right) \]
      2. sqrt-unprodN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
      3. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2 \cdot \color{blue}{\frac{F}{B}}}\right) \]
      4. associate-*r/N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{2 \cdot F}{B}}}\right) \]
      5. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      7. sqrt-divN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{F \cdot 2}}{\sqrt{B}}}\right) \]
      8. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{{\left(F \cdot 2\right)}^{\frac{1}{2}}}}{\sqrt{B}}\right) \]
      9. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(F \cdot 2\right)}^{\frac{1}{2}}}{\sqrt{B}}}\right) \]
      10. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
      11. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
      12. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{F \cdot 2}}}{\sqrt{B}}\right) \]
      13. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      15. lower-sqrt.f6418.9

        \[\leadsto -\frac{\sqrt{2 \cdot F}}{\color{blue}{\sqrt{B}}} \]
    7. Applied rewrites18.9%

      \[\leadsto -\color{blue}{\frac{\sqrt{2 \cdot F}}{\sqrt{B}}} \]
    8. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      2. sqrt-divN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{\frac{2 \cdot F}{B}}}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{2 \cdot F}}{B}}\right) \]
      4. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      5. associate-/l*N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{F \cdot \frac{2}{B}}}\right) \]
      6. sqrt-prodN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F} \cdot \sqrt{\frac{2}{B}}}\right) \]
      7. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{{F}^{\frac{1}{2}}} \cdot \sqrt{\frac{2}{B}}\right) \]
      8. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{{F}^{\frac{1}{2}} \cdot \sqrt{\frac{2}{B}}}\right) \]
      9. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
      10. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
      11. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \color{blue}{\sqrt{\frac{2}{B}}}\right) \]
      12. lower-/.f6418.9

        \[\leadsto -\sqrt{F} \cdot \sqrt{\color{blue}{\frac{2}{B}}} \]
    9. Applied rewrites18.9%

      \[\leadsto -\color{blue}{\sqrt{F} \cdot \sqrt{\frac{2}{B}}} \]
    10. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
      2. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \sqrt{\color{blue}{\frac{2}{B}}}\right) \]
      3. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \color{blue}{\sqrt{\frac{2}{B}}}\right) \]
      4. distribute-lft-neg-inN/A

        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\frac{2}{B}}} \]
      5. lift-sqrt.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \color{blue}{\sqrt{\frac{2}{B}}} \]
      6. lift-/.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\color{blue}{\frac{2}{B}}} \]
      7. clear-numN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\color{blue}{\frac{1}{\frac{B}{2}}}} \]
      8. metadata-evalN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\frac{\color{blue}{\mathsf{neg}\left(-1\right)}}{\frac{B}{2}}} \]
      9. sqrt-divN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(-1\right)}}{\sqrt{\frac{B}{2}}}} \]
      10. metadata-evalN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \frac{\sqrt{\color{blue}{1}}}{\sqrt{\frac{B}{2}}} \]
      11. metadata-evalN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \frac{\color{blue}{1}}{\sqrt{\frac{B}{2}}} \]
      12. un-div-invN/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{\frac{B}{2}}}} \]
      13. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{\frac{B}{2}}}} \]
      14. lower-neg.f64N/A

        \[\leadsto \frac{\color{blue}{\mathsf{neg}\left(\sqrt{F}\right)}}{\sqrt{\frac{B}{2}}} \]
      15. lower-sqrt.f64N/A

        \[\leadsto \frac{\mathsf{neg}\left(\sqrt{F}\right)}{\color{blue}{\sqrt{\frac{B}{2}}}} \]
      16. div-invN/A

        \[\leadsto \frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{\color{blue}{B \cdot \frac{1}{2}}}} \]
      17. metadata-evalN/A

        \[\leadsto \frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{B \cdot \color{blue}{\frac{1}{2}}}} \]
      18. lower-*.f6418.9

        \[\leadsto \frac{-\sqrt{F}}{\sqrt{\color{blue}{B \cdot 0.5}}} \]
    11. Applied rewrites18.9%

      \[\leadsto \color{blue}{\frac{-\sqrt{F}}{\sqrt{B \cdot 0.5}}} \]

    if 2.9999999999999998e128 < C

    1. Initial program 7.2%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Applied rewrites7.2%

      \[\leadsto \color{blue}{\frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} + \left(A + C\right)\right)}}}} \]
    4. Taylor expanded in A around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
    5. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      4. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{2}}{B}} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      8. lower-+.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \color{blue}{\left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      9. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \color{blue}{\sqrt{{B}^{2} + {C}^{2}}}\right)}\right) \]
      10. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\color{blue}{B \cdot B} + {C}^{2}}\right)}\right) \]
      11. lower-fma.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\color{blue}{\mathsf{fma}\left(B, B, {C}^{2}\right)}}\right)}\right) \]
      12. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, \color{blue}{C \cdot C}\right)}\right)}\right) \]
      13. lower-*.f641.4

        \[\leadsto -\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, \color{blue}{C \cdot C}\right)}\right)} \]
    6. Applied rewrites1.4%

      \[\leadsto \color{blue}{-\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, C \cdot C\right)}\right)}} \]
    7. Taylor expanded in B around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
    8. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}}\right) \]
      4. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(\sqrt{2}\right)}^{2}}{B}} \cdot \sqrt{C \cdot F}\right) \]
      5. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      6. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      7. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}} \cdot \sqrt{2}}{B} \cdot \sqrt{C \cdot F}\right) \]
      8. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \color{blue}{\sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      9. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \color{blue}{\sqrt{C \cdot F}}\right) \]
      10. lower-*.f644.9

        \[\leadsto -\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \sqrt{\color{blue}{C \cdot F}} \]
    9. Applied rewrites4.9%

      \[\leadsto \color{blue}{-\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \sqrt{C \cdot F}} \]
    10. Step-by-step derivation
      1. rem-square-sqrtN/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{2}}{B} \cdot \sqrt{C \cdot F}\right) \]
      2. div-invN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\left(2 \cdot \frac{1}{B}\right)} \cdot \sqrt{C \cdot F}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\left(2 \cdot \frac{1}{B}\right) \cdot \sqrt{\color{blue}{C \cdot F}}\right) \]
      4. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\left(2 \cdot \frac{1}{B}\right) \cdot \color{blue}{\sqrt{C \cdot F}}\right) \]
      5. div-invN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{2}{B}} \cdot \sqrt{C \cdot F}\right) \]
      6. clear-numN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{1}{\frac{B}{2}}} \cdot \sqrt{C \cdot F}\right) \]
      7. metadata-evalN/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\mathsf{neg}\left(-1\right)}}{\frac{B}{2}} \cdot \sqrt{C \cdot F}\right) \]
      8. associate-*l/N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\left(\mathsf{neg}\left(-1\right)\right) \cdot \sqrt{C \cdot F}}{\frac{B}{2}}}\right) \]
      9. div-invN/A

        \[\leadsto \mathsf{neg}\left(\frac{\left(\mathsf{neg}\left(-1\right)\right) \cdot \sqrt{C \cdot F}}{\color{blue}{B \cdot \frac{1}{2}}}\right) \]
      10. metadata-evalN/A

        \[\leadsto \mathsf{neg}\left(\frac{\left(\mathsf{neg}\left(-1\right)\right) \cdot \sqrt{C \cdot F}}{B \cdot \color{blue}{\frac{1}{2}}}\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{1} \cdot \sqrt{C \cdot F}}{B \cdot \frac{1}{2}}\right) \]
      12. *-lft-identityN/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{C \cdot F}}}{B \cdot \frac{1}{2}}\right) \]
      13. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{C \cdot F}}}{B \cdot \frac{1}{2}}\right) \]
      14. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{C \cdot F}}}{B \cdot \frac{1}{2}}\right) \]
      15. sqrt-prodN/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{C} \cdot \sqrt{F}}}{B \cdot \frac{1}{2}}\right) \]
      16. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{{C}^{\frac{1}{2}}} \cdot \sqrt{F}}{B \cdot \frac{1}{2}}\right) \]
      17. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{{C}^{\frac{1}{2}} \cdot \color{blue}{\sqrt{F}}}{B \cdot \frac{1}{2}}\right) \]
      18. times-fracN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{C}^{\frac{1}{2}}}{B} \cdot \frac{\sqrt{F}}{\frac{1}{2}}}\right) \]
      19. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{C}^{\frac{1}{2}}}{B} \cdot \frac{\sqrt{F}}{\frac{1}{2}}}\right) \]
      20. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{C}^{\frac{1}{2}}}{B}} \cdot \frac{\sqrt{F}}{\frac{1}{2}}\right) \]
      21. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{C}}}{B} \cdot \frac{\sqrt{F}}{\frac{1}{2}}\right) \]
      22. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{C}}}{B} \cdot \frac{\sqrt{F}}{\frac{1}{2}}\right) \]
      23. lower-/.f6410.8

        \[\leadsto -\frac{\sqrt{C}}{B} \cdot \color{blue}{\frac{\sqrt{F}}{0.5}} \]
    11. Applied rewrites10.8%

      \[\leadsto -\color{blue}{\frac{\sqrt{C}}{B} \cdot \frac{\sqrt{F}}{0.5}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification17.8%

    \[\leadsto \begin{array}{l} \mathbf{if}\;C \leq 3 \cdot 10^{+128}:\\ \;\;\;\;\frac{-\sqrt{F}}{\sqrt{B \cdot 0.5}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\sqrt{C}}{B} \cdot \left(-\frac{\sqrt{F}}{0.5}\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 5: 36.7% accurate, 10.2× speedup?

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;C \leq 3 \cdot 10^{+128}:\\ \;\;\;\;\frac{-\sqrt{F}}{\sqrt{B\_m \cdot 0.5}}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{F} \cdot \left(\sqrt{C} \cdot \frac{-2}{B\_m}\right)\\ \end{array} \end{array} \]
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
 :precision binary64
 (if (<= C 3e+128)
   (/ (- (sqrt F)) (sqrt (* B_m 0.5)))
   (* (sqrt F) (* (sqrt C) (/ -2.0 B_m)))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
	double tmp;
	if (C <= 3e+128) {
		tmp = -sqrt(F) / sqrt((B_m * 0.5));
	} else {
		tmp = sqrt(F) * (sqrt(C) * (-2.0 / B_m));
	}
	return tmp;
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
real(8) function code(a, b_m, c, f)
    real(8), intent (in) :: a
    real(8), intent (in) :: b_m
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    real(8) :: tmp
    if (c <= 3d+128) then
        tmp = -sqrt(f) / sqrt((b_m * 0.5d0))
    else
        tmp = sqrt(f) * (sqrt(c) * ((-2.0d0) / b_m))
    end if
    code = tmp
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
	double tmp;
	if (C <= 3e+128) {
		tmp = -Math.sqrt(F) / Math.sqrt((B_m * 0.5));
	} else {
		tmp = Math.sqrt(F) * (Math.sqrt(C) * (-2.0 / B_m));
	}
	return tmp;
}
B_m = math.fabs(B)
[A, B_m, C, F] = sort([A, B_m, C, F])
def code(A, B_m, C, F):
	tmp = 0
	if C <= 3e+128:
		tmp = -math.sqrt(F) / math.sqrt((B_m * 0.5))
	else:
		tmp = math.sqrt(F) * (math.sqrt(C) * (-2.0 / B_m))
	return tmp
B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	tmp = 0.0
	if (C <= 3e+128)
		tmp = Float64(Float64(-sqrt(F)) / sqrt(Float64(B_m * 0.5)));
	else
		tmp = Float64(sqrt(F) * Float64(sqrt(C) * Float64(-2.0 / B_m)));
	end
	return tmp
end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp_2 = code(A, B_m, C, F)
	tmp = 0.0;
	if (C <= 3e+128)
		tmp = -sqrt(F) / sqrt((B_m * 0.5));
	else
		tmp = sqrt(F) * (sqrt(C) * (-2.0 / B_m));
	end
	tmp_2 = tmp;
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := If[LessEqual[C, 3e+128], N[((-N[Sqrt[F], $MachinePrecision]) / N[Sqrt[N[(B$95$m * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[F], $MachinePrecision] * N[(N[Sqrt[C], $MachinePrecision] * N[(-2.0 / B$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
\mathbf{if}\;C \leq 3 \cdot 10^{+128}:\\
\;\;\;\;\frac{-\sqrt{F}}{\sqrt{B\_m \cdot 0.5}}\\

\mathbf{else}:\\
\;\;\;\;\sqrt{F} \cdot \left(\sqrt{C} \cdot \frac{-2}{B\_m}\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if C < 2.9999999999999998e128

    1. Initial program 20.9%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      3. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      4. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
      7. lower-/.f6415.5

        \[\leadsto -\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}} \]
    5. Applied rewrites15.5%

      \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}}\right) \]
      2. sqrt-unprodN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
      3. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2 \cdot \color{blue}{\frac{F}{B}}}\right) \]
      4. associate-*r/N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{2 \cdot F}{B}}}\right) \]
      5. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      7. sqrt-divN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{F \cdot 2}}{\sqrt{B}}}\right) \]
      8. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{{\left(F \cdot 2\right)}^{\frac{1}{2}}}}{\sqrt{B}}\right) \]
      9. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(F \cdot 2\right)}^{\frac{1}{2}}}{\sqrt{B}}}\right) \]
      10. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
      11. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
      12. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{F \cdot 2}}}{\sqrt{B}}\right) \]
      13. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      15. lower-sqrt.f6418.9

        \[\leadsto -\frac{\sqrt{2 \cdot F}}{\color{blue}{\sqrt{B}}} \]
    7. Applied rewrites18.9%

      \[\leadsto -\color{blue}{\frac{\sqrt{2 \cdot F}}{\sqrt{B}}} \]
    8. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      2. sqrt-divN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{\frac{2 \cdot F}{B}}}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{2 \cdot F}}{B}}\right) \]
      4. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      5. associate-/l*N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{F \cdot \frac{2}{B}}}\right) \]
      6. sqrt-prodN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F} \cdot \sqrt{\frac{2}{B}}}\right) \]
      7. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{{F}^{\frac{1}{2}}} \cdot \sqrt{\frac{2}{B}}\right) \]
      8. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{{F}^{\frac{1}{2}} \cdot \sqrt{\frac{2}{B}}}\right) \]
      9. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
      10. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
      11. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \color{blue}{\sqrt{\frac{2}{B}}}\right) \]
      12. lower-/.f6418.9

        \[\leadsto -\sqrt{F} \cdot \sqrt{\color{blue}{\frac{2}{B}}} \]
    9. Applied rewrites18.9%

      \[\leadsto -\color{blue}{\sqrt{F} \cdot \sqrt{\frac{2}{B}}} \]
    10. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
      2. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \sqrt{\color{blue}{\frac{2}{B}}}\right) \]
      3. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \color{blue}{\sqrt{\frac{2}{B}}}\right) \]
      4. distribute-lft-neg-inN/A

        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\frac{2}{B}}} \]
      5. lift-sqrt.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \color{blue}{\sqrt{\frac{2}{B}}} \]
      6. lift-/.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\color{blue}{\frac{2}{B}}} \]
      7. clear-numN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\color{blue}{\frac{1}{\frac{B}{2}}}} \]
      8. metadata-evalN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\frac{\color{blue}{\mathsf{neg}\left(-1\right)}}{\frac{B}{2}}} \]
      9. sqrt-divN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(-1\right)}}{\sqrt{\frac{B}{2}}}} \]
      10. metadata-evalN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \frac{\sqrt{\color{blue}{1}}}{\sqrt{\frac{B}{2}}} \]
      11. metadata-evalN/A

        \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \frac{\color{blue}{1}}{\sqrt{\frac{B}{2}}} \]
      12. un-div-invN/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{\frac{B}{2}}}} \]
      13. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{\frac{B}{2}}}} \]
      14. lower-neg.f64N/A

        \[\leadsto \frac{\color{blue}{\mathsf{neg}\left(\sqrt{F}\right)}}{\sqrt{\frac{B}{2}}} \]
      15. lower-sqrt.f64N/A

        \[\leadsto \frac{\mathsf{neg}\left(\sqrt{F}\right)}{\color{blue}{\sqrt{\frac{B}{2}}}} \]
      16. div-invN/A

        \[\leadsto \frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{\color{blue}{B \cdot \frac{1}{2}}}} \]
      17. metadata-evalN/A

        \[\leadsto \frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{B \cdot \color{blue}{\frac{1}{2}}}} \]
      18. lower-*.f6418.9

        \[\leadsto \frac{-\sqrt{F}}{\sqrt{\color{blue}{B \cdot 0.5}}} \]
    11. Applied rewrites18.9%

      \[\leadsto \color{blue}{\frac{-\sqrt{F}}{\sqrt{B \cdot 0.5}}} \]

    if 2.9999999999999998e128 < C

    1. Initial program 7.2%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Applied rewrites7.2%

      \[\leadsto \color{blue}{\frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} + \left(A + C\right)\right)}}}} \]
    4. Taylor expanded in A around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
    5. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      4. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{2}}{B}} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      8. lower-+.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \color{blue}{\left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      9. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \color{blue}{\sqrt{{B}^{2} + {C}^{2}}}\right)}\right) \]
      10. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\color{blue}{B \cdot B} + {C}^{2}}\right)}\right) \]
      11. lower-fma.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\color{blue}{\mathsf{fma}\left(B, B, {C}^{2}\right)}}\right)}\right) \]
      12. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, \color{blue}{C \cdot C}\right)}\right)}\right) \]
      13. lower-*.f641.4

        \[\leadsto -\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, \color{blue}{C \cdot C}\right)}\right)} \]
    6. Applied rewrites1.4%

      \[\leadsto \color{blue}{-\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, C \cdot C\right)}\right)}} \]
    7. Taylor expanded in B around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
    8. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}}\right) \]
      4. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(\sqrt{2}\right)}^{2}}{B}} \cdot \sqrt{C \cdot F}\right) \]
      5. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      6. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      7. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}} \cdot \sqrt{2}}{B} \cdot \sqrt{C \cdot F}\right) \]
      8. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \color{blue}{\sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      9. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \color{blue}{\sqrt{C \cdot F}}\right) \]
      10. lower-*.f644.9

        \[\leadsto -\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \sqrt{\color{blue}{C \cdot F}} \]
    9. Applied rewrites4.9%

      \[\leadsto \color{blue}{-\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \sqrt{C \cdot F}} \]
    10. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}} \cdot \sqrt{2}}{B} \cdot \sqrt{C \cdot F}\right) \]
      2. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \color{blue}{\sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      4. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{2} \cdot \sqrt{2}}{B}} \cdot \sqrt{C \cdot F}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \sqrt{\color{blue}{C \cdot F}}\right) \]
      6. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \color{blue}{\sqrt{C \cdot F}}\right) \]
      7. distribute-lft-neg-inN/A

        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B}\right)\right) \cdot \sqrt{C \cdot F}} \]
      8. lift-sqrt.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B}\right)\right) \cdot \color{blue}{\sqrt{C \cdot F}} \]
      9. lift-*.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B}\right)\right) \cdot \sqrt{\color{blue}{C \cdot F}} \]
      10. sqrt-prodN/A

        \[\leadsto \left(\mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B}\right)\right) \cdot \color{blue}{\left(\sqrt{C} \cdot \sqrt{F}\right)} \]
      11. pow1/2N/A

        \[\leadsto \left(\mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B}\right)\right) \cdot \left(\color{blue}{{C}^{\frac{1}{2}}} \cdot \sqrt{F}\right) \]
      12. lift-sqrt.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B}\right)\right) \cdot \left({C}^{\frac{1}{2}} \cdot \color{blue}{\sqrt{F}}\right) \]
      13. associate-*r*N/A

        \[\leadsto \color{blue}{\left(\left(\mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B}\right)\right) \cdot {C}^{\frac{1}{2}}\right) \cdot \sqrt{F}} \]
      14. lower-*.f64N/A

        \[\leadsto \color{blue}{\left(\left(\mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B}\right)\right) \cdot {C}^{\frac{1}{2}}\right) \cdot \sqrt{F}} \]
    11. Applied rewrites10.8%

      \[\leadsto \color{blue}{\left(\frac{-2}{B} \cdot \sqrt{C}\right) \cdot \sqrt{F}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification17.8%

    \[\leadsto \begin{array}{l} \mathbf{if}\;C \leq 3 \cdot 10^{+128}:\\ \;\;\;\;\frac{-\sqrt{F}}{\sqrt{B \cdot 0.5}}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{F} \cdot \left(\sqrt{C} \cdot \frac{-2}{B}\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 6: 27.4% accurate, 11.2× speedup?

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;C \leq 2.55 \cdot 10^{+92}:\\ \;\;\;\;\frac{-1}{\sqrt{\frac{B\_m}{2 \cdot F}}}\\ \mathbf{else}:\\ \;\;\;\;\frac{-2 \cdot \sqrt{C \cdot F}}{B\_m}\\ \end{array} \end{array} \]
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
 :precision binary64
 (if (<= C 2.55e+92)
   (/ -1.0 (sqrt (/ B_m (* 2.0 F))))
   (/ (* -2.0 (sqrt (* C F))) B_m)))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
	double tmp;
	if (C <= 2.55e+92) {
		tmp = -1.0 / sqrt((B_m / (2.0 * F)));
	} else {
		tmp = (-2.0 * sqrt((C * F))) / B_m;
	}
	return tmp;
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
real(8) function code(a, b_m, c, f)
    real(8), intent (in) :: a
    real(8), intent (in) :: b_m
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    real(8) :: tmp
    if (c <= 2.55d+92) then
        tmp = (-1.0d0) / sqrt((b_m / (2.0d0 * f)))
    else
        tmp = ((-2.0d0) * sqrt((c * f))) / b_m
    end if
    code = tmp
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
	double tmp;
	if (C <= 2.55e+92) {
		tmp = -1.0 / Math.sqrt((B_m / (2.0 * F)));
	} else {
		tmp = (-2.0 * Math.sqrt((C * F))) / B_m;
	}
	return tmp;
}
B_m = math.fabs(B)
[A, B_m, C, F] = sort([A, B_m, C, F])
def code(A, B_m, C, F):
	tmp = 0
	if C <= 2.55e+92:
		tmp = -1.0 / math.sqrt((B_m / (2.0 * F)))
	else:
		tmp = (-2.0 * math.sqrt((C * F))) / B_m
	return tmp
B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	tmp = 0.0
	if (C <= 2.55e+92)
		tmp = Float64(-1.0 / sqrt(Float64(B_m / Float64(2.0 * F))));
	else
		tmp = Float64(Float64(-2.0 * sqrt(Float64(C * F))) / B_m);
	end
	return tmp
end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp_2 = code(A, B_m, C, F)
	tmp = 0.0;
	if (C <= 2.55e+92)
		tmp = -1.0 / sqrt((B_m / (2.0 * F)));
	else
		tmp = (-2.0 * sqrt((C * F))) / B_m;
	end
	tmp_2 = tmp;
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := If[LessEqual[C, 2.55e+92], N[(-1.0 / N[Sqrt[N[(B$95$m / N[(2.0 * F), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(-2.0 * N[Sqrt[N[(C * F), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / B$95$m), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
\mathbf{if}\;C \leq 2.55 \cdot 10^{+92}:\\
\;\;\;\;\frac{-1}{\sqrt{\frac{B\_m}{2 \cdot F}}}\\

\mathbf{else}:\\
\;\;\;\;\frac{-2 \cdot \sqrt{C \cdot F}}{B\_m}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if C < 2.5500000000000001e92

    1. Initial program 20.2%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      3. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      4. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
      7. lower-/.f6416.0

        \[\leadsto -\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}} \]
    5. Applied rewrites16.0%

      \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}}\right) \]
      2. sqrt-unprodN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
      3. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2 \cdot \color{blue}{\frac{F}{B}}}\right) \]
      4. associate-*r/N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{2 \cdot F}{B}}}\right) \]
      5. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      6. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      7. sqrt-divN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{F \cdot 2}}{\sqrt{B}}}\right) \]
      8. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{{\left(F \cdot 2\right)}^{\frac{1}{2}}}}{\sqrt{B}}\right) \]
      9. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(F \cdot 2\right)}^{\frac{1}{2}}}{\sqrt{B}}}\right) \]
      10. pow1/2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
      11. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
      12. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{F \cdot 2}}}{\sqrt{B}}\right) \]
      13. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      14. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      15. lower-sqrt.f6419.4

        \[\leadsto -\frac{\sqrt{2 \cdot F}}{\color{blue}{\sqrt{B}}} \]
    7. Applied rewrites19.4%

      \[\leadsto -\color{blue}{\frac{\sqrt{2 \cdot F}}{\sqrt{B}}} \]
    8. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
      2. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2 \cdot F}}}{\sqrt{B}}\right) \]
      3. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2 \cdot F}}{\color{blue}{\sqrt{B}}}\right) \]
      4. clear-numN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{1}{\frac{\sqrt{B}}{\sqrt{2 \cdot F}}}}\right) \]
      5. metadata-evalN/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\mathsf{neg}\left(-1\right)}}{\frac{\sqrt{B}}{\sqrt{2 \cdot F}}}\right) \]
      6. distribute-neg-fracN/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\left(\mathsf{neg}\left(-1\right)\right)\right)}{\frac{\sqrt{B}}{\sqrt{2 \cdot F}}}} \]
      7. metadata-evalN/A

        \[\leadsto \frac{\mathsf{neg}\left(\color{blue}{1}\right)}{\frac{\sqrt{B}}{\sqrt{2 \cdot F}}} \]
      8. metadata-evalN/A

        \[\leadsto \frac{\color{blue}{-1}}{\frac{\sqrt{B}}{\sqrt{2 \cdot F}}} \]
      9. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{-1}{\frac{\sqrt{B}}{\sqrt{2 \cdot F}}}} \]
      10. lift-sqrt.f64N/A

        \[\leadsto \frac{-1}{\frac{\color{blue}{\sqrt{B}}}{\sqrt{2 \cdot F}}} \]
      11. lift-sqrt.f64N/A

        \[\leadsto \frac{-1}{\frac{\sqrt{B}}{\color{blue}{\sqrt{2 \cdot F}}}} \]
      12. sqrt-undivN/A

        \[\leadsto \frac{-1}{\color{blue}{\sqrt{\frac{B}{2 \cdot F}}}} \]
      13. lower-sqrt.f64N/A

        \[\leadsto \frac{-1}{\color{blue}{\sqrt{\frac{B}{2 \cdot F}}}} \]
      14. lower-/.f6416.0

        \[\leadsto \frac{-1}{\sqrt{\color{blue}{\frac{B}{2 \cdot F}}}} \]
    9. Applied rewrites16.0%

      \[\leadsto \color{blue}{\frac{-1}{\sqrt{\frac{B}{2 \cdot F}}}} \]

    if 2.5500000000000001e92 < C

    1. Initial program 13.2%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Applied rewrites13.1%

      \[\leadsto \color{blue}{\frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} + \left(A + C\right)\right)}}}} \]
    4. Taylor expanded in A around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
    5. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      4. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{2}}{B}} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      8. lower-+.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \color{blue}{\left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      9. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \color{blue}{\sqrt{{B}^{2} + {C}^{2}}}\right)}\right) \]
      10. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\color{blue}{B \cdot B} + {C}^{2}}\right)}\right) \]
      11. lower-fma.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\color{blue}{\mathsf{fma}\left(B, B, {C}^{2}\right)}}\right)}\right) \]
      12. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, \color{blue}{C \cdot C}\right)}\right)}\right) \]
      13. lower-*.f641.4

        \[\leadsto -\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, \color{blue}{C \cdot C}\right)}\right)} \]
    6. Applied rewrites1.4%

      \[\leadsto \color{blue}{-\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, C \cdot C\right)}\right)}} \]
    7. Taylor expanded in B around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
    8. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}}\right) \]
      4. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(\sqrt{2}\right)}^{2}}{B}} \cdot \sqrt{C \cdot F}\right) \]
      5. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      6. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      7. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}} \cdot \sqrt{2}}{B} \cdot \sqrt{C \cdot F}\right) \]
      8. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \color{blue}{\sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      9. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \color{blue}{\sqrt{C \cdot F}}\right) \]
      10. lower-*.f644.5

        \[\leadsto -\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \sqrt{\color{blue}{C \cdot F}} \]
    9. Applied rewrites4.5%

      \[\leadsto \color{blue}{-\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \sqrt{C \cdot F}} \]
    10. Step-by-step derivation
      1. rem-square-sqrtN/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{2}}{B} \cdot \sqrt{C \cdot F}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{2}{B} \cdot \sqrt{\color{blue}{C \cdot F}}\right) \]
      3. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{2}{B} \cdot \color{blue}{\sqrt{C \cdot F}}\right) \]
      4. associate-*l/N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{2 \cdot \sqrt{C \cdot F}}{B}}\right) \]
      5. distribute-neg-fracN/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(2 \cdot \sqrt{C \cdot F}\right)}{B}} \]
      6. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(2 \cdot \sqrt{C \cdot F}\right)}{B}} \]
      7. *-commutativeN/A

        \[\leadsto \frac{\mathsf{neg}\left(\color{blue}{\sqrt{C \cdot F} \cdot 2}\right)}{B} \]
      8. distribute-rgt-neg-inN/A

        \[\leadsto \frac{\color{blue}{\sqrt{C \cdot F} \cdot \left(\mathsf{neg}\left(2\right)\right)}}{B} \]
      9. lower-*.f64N/A

        \[\leadsto \frac{\color{blue}{\sqrt{C \cdot F} \cdot \left(\mathsf{neg}\left(2\right)\right)}}{B} \]
      10. lift-*.f64N/A

        \[\leadsto \frac{\sqrt{\color{blue}{C \cdot F}} \cdot \left(\mathsf{neg}\left(2\right)\right)}{B} \]
      11. *-commutativeN/A

        \[\leadsto \frac{\sqrt{\color{blue}{F \cdot C}} \cdot \left(\mathsf{neg}\left(2\right)\right)}{B} \]
      12. lower-*.f64N/A

        \[\leadsto \frac{\sqrt{\color{blue}{F \cdot C}} \cdot \left(\mathsf{neg}\left(2\right)\right)}{B} \]
      13. metadata-eval4.6

        \[\leadsto \frac{\sqrt{F \cdot C} \cdot \color{blue}{-2}}{B} \]
    11. Applied rewrites4.6%

      \[\leadsto \color{blue}{\frac{\sqrt{F \cdot C} \cdot -2}{B}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification14.1%

    \[\leadsto \begin{array}{l} \mathbf{if}\;C \leq 2.55 \cdot 10^{+92}:\\ \;\;\;\;\frac{-1}{\sqrt{\frac{B}{2 \cdot F}}}\\ \mathbf{else}:\\ \;\;\;\;\frac{-2 \cdot \sqrt{C \cdot F}}{B}\\ \end{array} \]
  5. Add Preprocessing

Alternative 7: 35.5% accurate, 12.6× speedup?

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \frac{-\sqrt{F}}{\sqrt{B\_m \cdot 0.5}} \end{array} \]
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F) :precision binary64 (/ (- (sqrt F)) (sqrt (* B_m 0.5))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
	return -sqrt(F) / sqrt((B_m * 0.5));
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
real(8) function code(a, b_m, c, f)
    real(8), intent (in) :: a
    real(8), intent (in) :: b_m
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    code = -sqrt(f) / sqrt((b_m * 0.5d0))
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
	return -Math.sqrt(F) / Math.sqrt((B_m * 0.5));
}
B_m = math.fabs(B)
[A, B_m, C, F] = sort([A, B_m, C, F])
def code(A, B_m, C, F):
	return -math.sqrt(F) / math.sqrt((B_m * 0.5))
B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	return Float64(Float64(-sqrt(F)) / sqrt(Float64(B_m * 0.5)))
end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp = code(A, B_m, C, F)
	tmp = -sqrt(F) / sqrt((B_m * 0.5));
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := N[((-N[Sqrt[F], $MachinePrecision]) / N[Sqrt[N[(B$95$m * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\frac{-\sqrt{F}}{\sqrt{B\_m \cdot 0.5}}
\end{array}
Derivation
  1. Initial program 19.0%

    \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
  2. Add Preprocessing
  3. Taylor expanded in B around inf

    \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
  4. Step-by-step derivation
    1. mul-1-negN/A

      \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    2. lower-neg.f64N/A

      \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    3. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
    4. lower-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
    5. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
    6. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
    7. lower-/.f6414.2

      \[\leadsto -\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}} \]
  5. Applied rewrites14.2%

    \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
  6. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}}\right) \]
    2. sqrt-unprodN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
    3. lift-/.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2 \cdot \color{blue}{\frac{F}{B}}}\right) \]
    4. associate-*r/N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{2 \cdot F}{B}}}\right) \]
    5. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
    6. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
    7. sqrt-divN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{F \cdot 2}}{\sqrt{B}}}\right) \]
    8. pow1/2N/A

      \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{{\left(F \cdot 2\right)}^{\frac{1}{2}}}}{\sqrt{B}}\right) \]
    9. lower-/.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(F \cdot 2\right)}^{\frac{1}{2}}}{\sqrt{B}}}\right) \]
    10. pow1/2N/A

      \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
    11. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
    12. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{F \cdot 2}}}{\sqrt{B}}\right) \]
    13. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
    14. lower-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
    15. lower-sqrt.f6417.0

      \[\leadsto -\frac{\sqrt{2 \cdot F}}{\color{blue}{\sqrt{B}}} \]
  7. Applied rewrites17.0%

    \[\leadsto -\color{blue}{\frac{\sqrt{2 \cdot F}}{\sqrt{B}}} \]
  8. Step-by-step derivation
    1. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
    2. sqrt-divN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{\frac{2 \cdot F}{B}}}\right) \]
    3. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{2 \cdot F}}{B}}\right) \]
    4. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
    5. associate-/l*N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{F \cdot \frac{2}{B}}}\right) \]
    6. sqrt-prodN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F} \cdot \sqrt{\frac{2}{B}}}\right) \]
    7. pow1/2N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{{F}^{\frac{1}{2}}} \cdot \sqrt{\frac{2}{B}}\right) \]
    8. lower-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{{F}^{\frac{1}{2}} \cdot \sqrt{\frac{2}{B}}}\right) \]
    9. pow1/2N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
    10. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
    11. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \color{blue}{\sqrt{\frac{2}{B}}}\right) \]
    12. lower-/.f6417.0

      \[\leadsto -\sqrt{F} \cdot \sqrt{\color{blue}{\frac{2}{B}}} \]
  9. Applied rewrites17.0%

    \[\leadsto -\color{blue}{\sqrt{F} \cdot \sqrt{\frac{2}{B}}} \]
  10. Step-by-step derivation
    1. lift-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
    2. lift-/.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \sqrt{\color{blue}{\frac{2}{B}}}\right) \]
    3. lift-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \color{blue}{\sqrt{\frac{2}{B}}}\right) \]
    4. distribute-lft-neg-inN/A

      \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\frac{2}{B}}} \]
    5. lift-sqrt.f64N/A

      \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \color{blue}{\sqrt{\frac{2}{B}}} \]
    6. lift-/.f64N/A

      \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\color{blue}{\frac{2}{B}}} \]
    7. clear-numN/A

      \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\color{blue}{\frac{1}{\frac{B}{2}}}} \]
    8. metadata-evalN/A

      \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \sqrt{\frac{\color{blue}{\mathsf{neg}\left(-1\right)}}{\frac{B}{2}}} \]
    9. sqrt-divN/A

      \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \color{blue}{\frac{\sqrt{\mathsf{neg}\left(-1\right)}}{\sqrt{\frac{B}{2}}}} \]
    10. metadata-evalN/A

      \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \frac{\sqrt{\color{blue}{1}}}{\sqrt{\frac{B}{2}}} \]
    11. metadata-evalN/A

      \[\leadsto \left(\mathsf{neg}\left(\sqrt{F}\right)\right) \cdot \frac{\color{blue}{1}}{\sqrt{\frac{B}{2}}} \]
    12. un-div-invN/A

      \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{\frac{B}{2}}}} \]
    13. lower-/.f64N/A

      \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{\frac{B}{2}}}} \]
    14. lower-neg.f64N/A

      \[\leadsto \frac{\color{blue}{\mathsf{neg}\left(\sqrt{F}\right)}}{\sqrt{\frac{B}{2}}} \]
    15. lower-sqrt.f64N/A

      \[\leadsto \frac{\mathsf{neg}\left(\sqrt{F}\right)}{\color{blue}{\sqrt{\frac{B}{2}}}} \]
    16. div-invN/A

      \[\leadsto \frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{\color{blue}{B \cdot \frac{1}{2}}}} \]
    17. metadata-evalN/A

      \[\leadsto \frac{\mathsf{neg}\left(\sqrt{F}\right)}{\sqrt{B \cdot \color{blue}{\frac{1}{2}}}} \]
    18. lower-*.f6417.0

      \[\leadsto \frac{-\sqrt{F}}{\sqrt{\color{blue}{B \cdot 0.5}}} \]
  11. Applied rewrites17.0%

    \[\leadsto \color{blue}{\frac{-\sqrt{F}}{\sqrt{B \cdot 0.5}}} \]
  12. Add Preprocessing

Alternative 8: 35.5% accurate, 12.6× speedup?

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ -\frac{\sqrt{2 \cdot F}}{\sqrt{B\_m}} \end{array} \]
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F) :precision binary64 (- (/ (sqrt (* 2.0 F)) (sqrt B_m))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
	return -(sqrt((2.0 * F)) / sqrt(B_m));
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
real(8) function code(a, b_m, c, f)
    real(8), intent (in) :: a
    real(8), intent (in) :: b_m
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    code = -(sqrt((2.0d0 * f)) / sqrt(b_m))
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
	return -(Math.sqrt((2.0 * F)) / Math.sqrt(B_m));
}
B_m = math.fabs(B)
[A, B_m, C, F] = sort([A, B_m, C, F])
def code(A, B_m, C, F):
	return -(math.sqrt((2.0 * F)) / math.sqrt(B_m))
B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	return Float64(-Float64(sqrt(Float64(2.0 * F)) / sqrt(B_m)))
end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp = code(A, B_m, C, F)
	tmp = -(sqrt((2.0 * F)) / sqrt(B_m));
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := (-N[(N[Sqrt[N[(2.0 * F), $MachinePrecision]], $MachinePrecision] / N[Sqrt[B$95$m], $MachinePrecision]), $MachinePrecision])
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
-\frac{\sqrt{2 \cdot F}}{\sqrt{B\_m}}
\end{array}
Derivation
  1. Initial program 19.0%

    \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
  2. Add Preprocessing
  3. Taylor expanded in B around inf

    \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
  4. Step-by-step derivation
    1. mul-1-negN/A

      \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    2. lower-neg.f64N/A

      \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    3. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
    4. lower-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
    5. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
    6. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
    7. lower-/.f6414.2

      \[\leadsto -\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}} \]
  5. Applied rewrites14.2%

    \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
  6. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}}\right) \]
    2. sqrt-unprodN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
    3. lift-/.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2 \cdot \color{blue}{\frac{F}{B}}}\right) \]
    4. associate-*r/N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{2 \cdot F}{B}}}\right) \]
    5. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
    6. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
    7. sqrt-divN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{F \cdot 2}}{\sqrt{B}}}\right) \]
    8. pow1/2N/A

      \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{{\left(F \cdot 2\right)}^{\frac{1}{2}}}}{\sqrt{B}}\right) \]
    9. lower-/.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(F \cdot 2\right)}^{\frac{1}{2}}}{\sqrt{B}}}\right) \]
    10. pow1/2N/A

      \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
    11. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
    12. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{F \cdot 2}}}{\sqrt{B}}\right) \]
    13. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
    14. lower-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
    15. lower-sqrt.f6417.0

      \[\leadsto -\frac{\sqrt{2 \cdot F}}{\color{blue}{\sqrt{B}}} \]
  7. Applied rewrites17.0%

    \[\leadsto -\color{blue}{\frac{\sqrt{2 \cdot F}}{\sqrt{B}}} \]
  8. Add Preprocessing

Alternative 9: 35.5% accurate, 12.6× speedup?

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \left(-\sqrt{F}\right) \cdot \sqrt{\frac{2}{B\_m}} \end{array} \]
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F) :precision binary64 (* (- (sqrt F)) (sqrt (/ 2.0 B_m))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
	return -sqrt(F) * sqrt((2.0 / B_m));
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
real(8) function code(a, b_m, c, f)
    real(8), intent (in) :: a
    real(8), intent (in) :: b_m
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    code = -sqrt(f) * sqrt((2.0d0 / b_m))
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
	return -Math.sqrt(F) * Math.sqrt((2.0 / B_m));
}
B_m = math.fabs(B)
[A, B_m, C, F] = sort([A, B_m, C, F])
def code(A, B_m, C, F):
	return -math.sqrt(F) * math.sqrt((2.0 / B_m))
B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	return Float64(Float64(-sqrt(F)) * sqrt(Float64(2.0 / B_m)))
end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp = code(A, B_m, C, F)
	tmp = -sqrt(F) * sqrt((2.0 / B_m));
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := N[((-N[Sqrt[F], $MachinePrecision]) * N[Sqrt[N[(2.0 / B$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\left(-\sqrt{F}\right) \cdot \sqrt{\frac{2}{B\_m}}
\end{array}
Derivation
  1. Initial program 19.0%

    \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
  2. Add Preprocessing
  3. Taylor expanded in B around inf

    \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
  4. Step-by-step derivation
    1. mul-1-negN/A

      \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    2. lower-neg.f64N/A

      \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    3. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
    4. lower-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
    5. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
    6. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
    7. lower-/.f6414.2

      \[\leadsto -\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}} \]
  5. Applied rewrites14.2%

    \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
  6. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}}\right) \]
    2. sqrt-unprodN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
    3. lift-/.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2 \cdot \color{blue}{\frac{F}{B}}}\right) \]
    4. associate-*r/N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{2 \cdot F}{B}}}\right) \]
    5. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
    6. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
    7. sqrt-divN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{F \cdot 2}}{\sqrt{B}}}\right) \]
    8. pow1/2N/A

      \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{{\left(F \cdot 2\right)}^{\frac{1}{2}}}}{\sqrt{B}}\right) \]
    9. lower-/.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(F \cdot 2\right)}^{\frac{1}{2}}}{\sqrt{B}}}\right) \]
    10. pow1/2N/A

      \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
    11. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{F \cdot 2}}}{\sqrt{B}}\right) \]
    12. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{F \cdot 2}}}{\sqrt{B}}\right) \]
    13. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
    14. lower-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
    15. lower-sqrt.f6417.0

      \[\leadsto -\frac{\sqrt{2 \cdot F}}{\color{blue}{\sqrt{B}}} \]
  7. Applied rewrites17.0%

    \[\leadsto -\color{blue}{\frac{\sqrt{2 \cdot F}}{\sqrt{B}}} \]
  8. Step-by-step derivation
    1. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\frac{\sqrt{\color{blue}{2 \cdot F}}}{\sqrt{B}}\right) \]
    2. sqrt-divN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{\frac{2 \cdot F}{B}}}\right) \]
    3. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{2 \cdot F}}{B}}\right) \]
    4. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
    5. associate-/l*N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{F \cdot \frac{2}{B}}}\right) \]
    6. sqrt-prodN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F} \cdot \sqrt{\frac{2}{B}}}\right) \]
    7. pow1/2N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{{F}^{\frac{1}{2}}} \cdot \sqrt{\frac{2}{B}}\right) \]
    8. lower-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{{F}^{\frac{1}{2}} \cdot \sqrt{\frac{2}{B}}}\right) \]
    9. pow1/2N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
    10. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{F}} \cdot \sqrt{\frac{2}{B}}\right) \]
    11. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{F} \cdot \color{blue}{\sqrt{\frac{2}{B}}}\right) \]
    12. lower-/.f6417.0

      \[\leadsto -\sqrt{F} \cdot \sqrt{\color{blue}{\frac{2}{B}}} \]
  9. Applied rewrites17.0%

    \[\leadsto -\color{blue}{\sqrt{F} \cdot \sqrt{\frac{2}{B}}} \]
  10. Final simplification17.0%

    \[\leadsto \left(-\sqrt{F}\right) \cdot \sqrt{\frac{2}{B}} \]
  11. Add Preprocessing

Alternative 10: 27.6% accurate, 12.9× speedup?

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;C \leq 2.55 \cdot 10^{+92}:\\ \;\;\;\;-\sqrt{F \cdot \frac{2}{B\_m}}\\ \mathbf{else}:\\ \;\;\;\;\frac{-2 \cdot \sqrt{C \cdot F}}{B\_m}\\ \end{array} \end{array} \]
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
 :precision binary64
 (if (<= C 2.55e+92)
   (- (sqrt (* F (/ 2.0 B_m))))
   (/ (* -2.0 (sqrt (* C F))) B_m)))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
	double tmp;
	if (C <= 2.55e+92) {
		tmp = -sqrt((F * (2.0 / B_m)));
	} else {
		tmp = (-2.0 * sqrt((C * F))) / B_m;
	}
	return tmp;
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
real(8) function code(a, b_m, c, f)
    real(8), intent (in) :: a
    real(8), intent (in) :: b_m
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    real(8) :: tmp
    if (c <= 2.55d+92) then
        tmp = -sqrt((f * (2.0d0 / b_m)))
    else
        tmp = ((-2.0d0) * sqrt((c * f))) / b_m
    end if
    code = tmp
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
	double tmp;
	if (C <= 2.55e+92) {
		tmp = -Math.sqrt((F * (2.0 / B_m)));
	} else {
		tmp = (-2.0 * Math.sqrt((C * F))) / B_m;
	}
	return tmp;
}
B_m = math.fabs(B)
[A, B_m, C, F] = sort([A, B_m, C, F])
def code(A, B_m, C, F):
	tmp = 0
	if C <= 2.55e+92:
		tmp = -math.sqrt((F * (2.0 / B_m)))
	else:
		tmp = (-2.0 * math.sqrt((C * F))) / B_m
	return tmp
B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	tmp = 0.0
	if (C <= 2.55e+92)
		tmp = Float64(-sqrt(Float64(F * Float64(2.0 / B_m))));
	else
		tmp = Float64(Float64(-2.0 * sqrt(Float64(C * F))) / B_m);
	end
	return tmp
end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp_2 = code(A, B_m, C, F)
	tmp = 0.0;
	if (C <= 2.55e+92)
		tmp = -sqrt((F * (2.0 / B_m)));
	else
		tmp = (-2.0 * sqrt((C * F))) / B_m;
	end
	tmp_2 = tmp;
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := If[LessEqual[C, 2.55e+92], (-N[Sqrt[N[(F * N[(2.0 / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), N[(N[(-2.0 * N[Sqrt[N[(C * F), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / B$95$m), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
\mathbf{if}\;C \leq 2.55 \cdot 10^{+92}:\\
\;\;\;\;-\sqrt{F \cdot \frac{2}{B\_m}}\\

\mathbf{else}:\\
\;\;\;\;\frac{-2 \cdot \sqrt{C \cdot F}}{B\_m}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if C < 2.5500000000000001e92

    1. Initial program 20.2%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      3. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      4. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
      7. lower-/.f6416.0

        \[\leadsto -\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}} \]
    5. Applied rewrites16.0%

      \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}}\right) \]
      2. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
      3. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      5. lift-neg.f6416.0

        \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
      6. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      7. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
      8. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
      9. sqrt-unprodN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
      10. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
      11. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2 \cdot \color{blue}{\frac{F}{B}}}\right) \]
      12. associate-*r/N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{2 \cdot F}{B}}}\right) \]
      13. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      14. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      15. lower-/.f6416.0

        \[\leadsto -\sqrt{\color{blue}{\frac{F \cdot 2}{B}}} \]
      16. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      17. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{2 \cdot F}}{B}}\right) \]
      18. lower-*.f6416.0

        \[\leadsto -\sqrt{\frac{\color{blue}{2 \cdot F}}{B}} \]
    7. Applied rewrites16.0%

      \[\leadsto \color{blue}{-\sqrt{\frac{2 \cdot F}{B}}} \]
    8. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      2. associate-/l*N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{F \cdot \frac{2}{B}}}\right) \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{F \cdot \frac{2}{B}}}\right) \]
      4. lower-/.f6416.0

        \[\leadsto -\sqrt{F \cdot \color{blue}{\frac{2}{B}}} \]
    9. Applied rewrites16.0%

      \[\leadsto -\sqrt{\color{blue}{F \cdot \frac{2}{B}}} \]

    if 2.5500000000000001e92 < C

    1. Initial program 13.2%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Applied rewrites13.1%

      \[\leadsto \color{blue}{\frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} + \left(A + C\right)\right)}}}} \]
    4. Taylor expanded in A around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
    5. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      4. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{2}}{B}} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      8. lower-+.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \color{blue}{\left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      9. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \color{blue}{\sqrt{{B}^{2} + {C}^{2}}}\right)}\right) \]
      10. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\color{blue}{B \cdot B} + {C}^{2}}\right)}\right) \]
      11. lower-fma.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\color{blue}{\mathsf{fma}\left(B, B, {C}^{2}\right)}}\right)}\right) \]
      12. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, \color{blue}{C \cdot C}\right)}\right)}\right) \]
      13. lower-*.f641.4

        \[\leadsto -\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, \color{blue}{C \cdot C}\right)}\right)} \]
    6. Applied rewrites1.4%

      \[\leadsto \color{blue}{-\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, C \cdot C\right)}\right)}} \]
    7. Taylor expanded in B around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
    8. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}}\right) \]
      4. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(\sqrt{2}\right)}^{2}}{B}} \cdot \sqrt{C \cdot F}\right) \]
      5. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      6. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      7. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}} \cdot \sqrt{2}}{B} \cdot \sqrt{C \cdot F}\right) \]
      8. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \color{blue}{\sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      9. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \color{blue}{\sqrt{C \cdot F}}\right) \]
      10. lower-*.f644.5

        \[\leadsto -\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \sqrt{\color{blue}{C \cdot F}} \]
    9. Applied rewrites4.5%

      \[\leadsto \color{blue}{-\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \sqrt{C \cdot F}} \]
    10. Step-by-step derivation
      1. rem-square-sqrtN/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{2}}{B} \cdot \sqrt{C \cdot F}\right) \]
      2. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{2}{B} \cdot \sqrt{\color{blue}{C \cdot F}}\right) \]
      3. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{2}{B} \cdot \color{blue}{\sqrt{C \cdot F}}\right) \]
      4. associate-*l/N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{2 \cdot \sqrt{C \cdot F}}{B}}\right) \]
      5. distribute-neg-fracN/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(2 \cdot \sqrt{C \cdot F}\right)}{B}} \]
      6. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(2 \cdot \sqrt{C \cdot F}\right)}{B}} \]
      7. *-commutativeN/A

        \[\leadsto \frac{\mathsf{neg}\left(\color{blue}{\sqrt{C \cdot F} \cdot 2}\right)}{B} \]
      8. distribute-rgt-neg-inN/A

        \[\leadsto \frac{\color{blue}{\sqrt{C \cdot F} \cdot \left(\mathsf{neg}\left(2\right)\right)}}{B} \]
      9. lower-*.f64N/A

        \[\leadsto \frac{\color{blue}{\sqrt{C \cdot F} \cdot \left(\mathsf{neg}\left(2\right)\right)}}{B} \]
      10. lift-*.f64N/A

        \[\leadsto \frac{\sqrt{\color{blue}{C \cdot F}} \cdot \left(\mathsf{neg}\left(2\right)\right)}{B} \]
      11. *-commutativeN/A

        \[\leadsto \frac{\sqrt{\color{blue}{F \cdot C}} \cdot \left(\mathsf{neg}\left(2\right)\right)}{B} \]
      12. lower-*.f64N/A

        \[\leadsto \frac{\sqrt{\color{blue}{F \cdot C}} \cdot \left(\mathsf{neg}\left(2\right)\right)}{B} \]
      13. metadata-eval4.6

        \[\leadsto \frac{\sqrt{F \cdot C} \cdot \color{blue}{-2}}{B} \]
    11. Applied rewrites4.6%

      \[\leadsto \color{blue}{\frac{\sqrt{F \cdot C} \cdot -2}{B}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification14.2%

    \[\leadsto \begin{array}{l} \mathbf{if}\;C \leq 2.55 \cdot 10^{+92}:\\ \;\;\;\;-\sqrt{F \cdot \frac{2}{B}}\\ \mathbf{else}:\\ \;\;\;\;\frac{-2 \cdot \sqrt{C \cdot F}}{B}\\ \end{array} \]
  5. Add Preprocessing

Alternative 11: 27.6% accurate, 12.9× speedup?

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;C \leq 2.55 \cdot 10^{+92}:\\ \;\;\;\;-\sqrt{F \cdot \frac{2}{B\_m}}\\ \mathbf{else}:\\ \;\;\;\;\frac{-2}{B\_m} \cdot \sqrt{C \cdot F}\\ \end{array} \end{array} \]
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F)
 :precision binary64
 (if (<= C 2.55e+92)
   (- (sqrt (* F (/ 2.0 B_m))))
   (* (/ -2.0 B_m) (sqrt (* C F)))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
	double tmp;
	if (C <= 2.55e+92) {
		tmp = -sqrt((F * (2.0 / B_m)));
	} else {
		tmp = (-2.0 / B_m) * sqrt((C * F));
	}
	return tmp;
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
real(8) function code(a, b_m, c, f)
    real(8), intent (in) :: a
    real(8), intent (in) :: b_m
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    real(8) :: tmp
    if (c <= 2.55d+92) then
        tmp = -sqrt((f * (2.0d0 / b_m)))
    else
        tmp = ((-2.0d0) / b_m) * sqrt((c * f))
    end if
    code = tmp
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
	double tmp;
	if (C <= 2.55e+92) {
		tmp = -Math.sqrt((F * (2.0 / B_m)));
	} else {
		tmp = (-2.0 / B_m) * Math.sqrt((C * F));
	}
	return tmp;
}
B_m = math.fabs(B)
[A, B_m, C, F] = sort([A, B_m, C, F])
def code(A, B_m, C, F):
	tmp = 0
	if C <= 2.55e+92:
		tmp = -math.sqrt((F * (2.0 / B_m)))
	else:
		tmp = (-2.0 / B_m) * math.sqrt((C * F))
	return tmp
B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	tmp = 0.0
	if (C <= 2.55e+92)
		tmp = Float64(-sqrt(Float64(F * Float64(2.0 / B_m))));
	else
		tmp = Float64(Float64(-2.0 / B_m) * sqrt(Float64(C * F)));
	end
	return tmp
end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp_2 = code(A, B_m, C, F)
	tmp = 0.0;
	if (C <= 2.55e+92)
		tmp = -sqrt((F * (2.0 / B_m)));
	else
		tmp = (-2.0 / B_m) * sqrt((C * F));
	end
	tmp_2 = tmp;
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := If[LessEqual[C, 2.55e+92], (-N[Sqrt[N[(F * N[(2.0 / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), N[(N[(-2.0 / B$95$m), $MachinePrecision] * N[Sqrt[N[(C * F), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
\begin{array}{l}
\mathbf{if}\;C \leq 2.55 \cdot 10^{+92}:\\
\;\;\;\;-\sqrt{F \cdot \frac{2}{B\_m}}\\

\mathbf{else}:\\
\;\;\;\;\frac{-2}{B\_m} \cdot \sqrt{C \cdot F}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if C < 2.5500000000000001e92

    1. Initial program 20.2%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
      3. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      4. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
      7. lower-/.f6416.0

        \[\leadsto -\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}} \]
    5. Applied rewrites16.0%

      \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
    6. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}}\right) \]
      2. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
      3. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
      4. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      5. lift-neg.f6416.0

        \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
      6. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
      7. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
      8. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
      9. sqrt-unprodN/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
      10. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
      11. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{2 \cdot \color{blue}{\frac{F}{B}}}\right) \]
      12. associate-*r/N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{2 \cdot F}{B}}}\right) \]
      13. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      14. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      15. lower-/.f6416.0

        \[\leadsto -\sqrt{\color{blue}{\frac{F \cdot 2}{B}}} \]
      16. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      17. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{2 \cdot F}}{B}}\right) \]
      18. lower-*.f6416.0

        \[\leadsto -\sqrt{\frac{\color{blue}{2 \cdot F}}{B}} \]
    7. Applied rewrites16.0%

      \[\leadsto \color{blue}{-\sqrt{\frac{2 \cdot F}{B}}} \]
    8. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
      2. associate-/l*N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{F \cdot \frac{2}{B}}}\right) \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{F \cdot \frac{2}{B}}}\right) \]
      4. lower-/.f6416.0

        \[\leadsto -\sqrt{F \cdot \color{blue}{\frac{2}{B}}} \]
    9. Applied rewrites16.0%

      \[\leadsto -\sqrt{\color{blue}{F \cdot \frac{2}{B}}} \]

    if 2.5500000000000001e92 < C

    1. Initial program 13.2%

      \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
    2. Add Preprocessing
    3. Applied rewrites13.1%

      \[\leadsto \color{blue}{\frac{-1}{\frac{\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right)}{\sqrt{\left(\mathsf{fma}\left(B, B, -4 \cdot \left(A \cdot C\right)\right) \cdot \left(F \cdot 2\right)\right) \cdot \left(\sqrt{\mathsf{fma}\left(A - C, A - C, B \cdot B\right)} + \left(A + C\right)\right)}}}} \]
    4. Taylor expanded in A around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
    5. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      4. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{2}}{B}} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]
      5. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]
      6. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      7. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      8. lower-+.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \color{blue}{\left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]
      9. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \color{blue}{\sqrt{{B}^{2} + {C}^{2}}}\right)}\right) \]
      10. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\color{blue}{B \cdot B} + {C}^{2}}\right)}\right) \]
      11. lower-fma.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\color{blue}{\mathsf{fma}\left(B, B, {C}^{2}\right)}}\right)}\right) \]
      12. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, \color{blue}{C \cdot C}\right)}\right)}\right) \]
      13. lower-*.f641.4

        \[\leadsto -\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, \color{blue}{C \cdot C}\right)}\right)} \]
    6. Applied rewrites1.4%

      \[\leadsto \color{blue}{-\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{\mathsf{fma}\left(B, B, C \cdot C\right)}\right)}} \]
    7. Taylor expanded in B around 0

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
    8. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
      2. lower-neg.f64N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right)} \]
      3. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}}\right) \]
      4. lower-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{{\left(\sqrt{2}\right)}^{2}}{B}} \cdot \sqrt{C \cdot F}\right) \]
      5. unpow2N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      6. lower-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      7. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}} \cdot \sqrt{2}}{B} \cdot \sqrt{C \cdot F}\right) \]
      8. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \color{blue}{\sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      9. lower-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \color{blue}{\sqrt{C \cdot F}}\right) \]
      10. lower-*.f644.5

        \[\leadsto -\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \sqrt{\color{blue}{C \cdot F}} \]
    9. Applied rewrites4.5%

      \[\leadsto \color{blue}{-\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \sqrt{C \cdot F}} \]
    10. Step-by-step derivation
      1. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}} \cdot \sqrt{2}}{B} \cdot \sqrt{C \cdot F}\right) \]
      2. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \color{blue}{\sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      3. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B} \cdot \sqrt{C \cdot F}\right) \]
      4. lift-/.f64N/A

        \[\leadsto \mathsf{neg}\left(\color{blue}{\frac{\sqrt{2} \cdot \sqrt{2}}{B}} \cdot \sqrt{C \cdot F}\right) \]
      5. lift-*.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \sqrt{\color{blue}{C \cdot F}}\right) \]
      6. lift-sqrt.f64N/A

        \[\leadsto \mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B} \cdot \color{blue}{\sqrt{C \cdot F}}\right) \]
      7. distribute-lft-neg-inN/A

        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B}\right)\right) \cdot \sqrt{C \cdot F}} \]
      8. lower-*.f64N/A

        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\frac{\sqrt{2} \cdot \sqrt{2}}{B}\right)\right) \cdot \sqrt{C \cdot F}} \]
      9. lift-/.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\frac{\sqrt{2} \cdot \sqrt{2}}{B}}\right)\right) \cdot \sqrt{C \cdot F} \]
      10. lift-*.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{B}\right)\right) \cdot \sqrt{C \cdot F} \]
      11. lift-sqrt.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\frac{\color{blue}{\sqrt{2}} \cdot \sqrt{2}}{B}\right)\right) \cdot \sqrt{C \cdot F} \]
      12. lift-sqrt.f64N/A

        \[\leadsto \left(\mathsf{neg}\left(\frac{\sqrt{2} \cdot \color{blue}{\sqrt{2}}}{B}\right)\right) \cdot \sqrt{C \cdot F} \]
      13. rem-square-sqrtN/A

        \[\leadsto \left(\mathsf{neg}\left(\frac{\color{blue}{2}}{B}\right)\right) \cdot \sqrt{C \cdot F} \]
      14. distribute-neg-fracN/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(2\right)}{B}} \cdot \sqrt{C \cdot F} \]
      15. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(2\right)}{B}} \cdot \sqrt{C \cdot F} \]
      16. metadata-eval4.6

        \[\leadsto \frac{\color{blue}{-2}}{B} \cdot \sqrt{C \cdot F} \]
      17. lift-*.f64N/A

        \[\leadsto \frac{-2}{B} \cdot \sqrt{\color{blue}{C \cdot F}} \]
      18. *-commutativeN/A

        \[\leadsto \frac{-2}{B} \cdot \sqrt{\color{blue}{F \cdot C}} \]
      19. lower-*.f644.6

        \[\leadsto \frac{-2}{B} \cdot \sqrt{\color{blue}{F \cdot C}} \]
    11. Applied rewrites4.6%

      \[\leadsto \color{blue}{\frac{-2}{B} \cdot \sqrt{F \cdot C}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification14.2%

    \[\leadsto \begin{array}{l} \mathbf{if}\;C \leq 2.55 \cdot 10^{+92}:\\ \;\;\;\;-\sqrt{F \cdot \frac{2}{B}}\\ \mathbf{else}:\\ \;\;\;\;\frac{-2}{B} \cdot \sqrt{C \cdot F}\\ \end{array} \]
  5. Add Preprocessing

Alternative 12: 27.4% accurate, 16.9× speedup?

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ -\sqrt{F \cdot \frac{2}{B\_m}} \end{array} \]
B_m = (fabs.f64 B)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
(FPCore (A B_m C F) :precision binary64 (- (sqrt (* F (/ 2.0 B_m)))))
B_m = fabs(B);
assert(A < B_m && B_m < C && C < F);
double code(double A, double B_m, double C, double F) {
	return -sqrt((F * (2.0 / B_m)));
}
B_m = abs(b)
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
real(8) function code(a, b_m, c, f)
    real(8), intent (in) :: a
    real(8), intent (in) :: b_m
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    code = -sqrt((f * (2.0d0 / b_m)))
end function
B_m = Math.abs(B);
assert A < B_m && B_m < C && C < F;
public static double code(double A, double B_m, double C, double F) {
	return -Math.sqrt((F * (2.0 / B_m)));
}
B_m = math.fabs(B)
[A, B_m, C, F] = sort([A, B_m, C, F])
def code(A, B_m, C, F):
	return -math.sqrt((F * (2.0 / B_m)))
B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	return Float64(-sqrt(Float64(F * Float64(2.0 / B_m))))
end
B_m = abs(B);
A, B_m, C, F = num2cell(sort([A, B_m, C, F])){:}
function tmp = code(A, B_m, C, F)
	tmp = -sqrt((F * (2.0 / B_m)));
end
B_m = N[Abs[B], $MachinePrecision]
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
code[A_, B$95$m_, C_, F_] := (-N[Sqrt[N[(F * N[(2.0 / B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision])
\begin{array}{l}
B_m = \left|B\right|
\\
[A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\
\\
-\sqrt{F \cdot \frac{2}{B\_m}}
\end{array}
Derivation
  1. Initial program 19.0%

    \[\frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \left(\left(A + C\right) + \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
  2. Add Preprocessing
  3. Taylor expanded in B around inf

    \[\leadsto \color{blue}{-1 \cdot \left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
  4. Step-by-step derivation
    1. mul-1-negN/A

      \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    2. lower-neg.f64N/A

      \[\leadsto \color{blue}{\mathsf{neg}\left(\sqrt{\frac{F}{B}} \cdot \sqrt{2}\right)} \]
    3. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
    4. lower-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
    5. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
    6. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
    7. lower-/.f6414.2

      \[\leadsto -\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}} \]
  5. Applied rewrites14.2%

    \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
  6. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \sqrt{\color{blue}{\frac{F}{B}}}\right) \]
    2. lift-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
    3. lift-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
    4. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
    5. lift-neg.f6414.2

      \[\leadsto \color{blue}{-\sqrt{2} \cdot \sqrt{\frac{F}{B}}} \]
    6. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2} \cdot \sqrt{\frac{F}{B}}}\right) \]
    7. lift-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2}} \cdot \sqrt{\frac{F}{B}}\right) \]
    8. lift-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2} \cdot \color{blue}{\sqrt{\frac{F}{B}}}\right) \]
    9. sqrt-unprodN/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
    10. lower-sqrt.f64N/A

      \[\leadsto \mathsf{neg}\left(\color{blue}{\sqrt{2 \cdot \frac{F}{B}}}\right) \]
    11. lift-/.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{2 \cdot \color{blue}{\frac{F}{B}}}\right) \]
    12. associate-*r/N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{\frac{2 \cdot F}{B}}}\right) \]
    13. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
    14. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
    15. lower-/.f6414.2

      \[\leadsto -\sqrt{\color{blue}{\frac{F \cdot 2}{B}}} \]
    16. lift-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
    17. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{2 \cdot F}}{B}}\right) \]
    18. lower-*.f6414.2

      \[\leadsto -\sqrt{\frac{\color{blue}{2 \cdot F}}{B}} \]
  7. Applied rewrites14.2%

    \[\leadsto \color{blue}{-\sqrt{\frac{2 \cdot F}{B}}} \]
  8. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\frac{\color{blue}{F \cdot 2}}{B}}\right) \]
    2. associate-/l*N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{F \cdot \frac{2}{B}}}\right) \]
    3. lower-*.f64N/A

      \[\leadsto \mathsf{neg}\left(\sqrt{\color{blue}{F \cdot \frac{2}{B}}}\right) \]
    4. lower-/.f6414.2

      \[\leadsto -\sqrt{F \cdot \color{blue}{\frac{2}{B}}} \]
  9. Applied rewrites14.2%

    \[\leadsto -\sqrt{\color{blue}{F \cdot \frac{2}{B}}} \]
  10. Add Preprocessing

Reproduce

?
herbie shell --seed 2024216 
(FPCore (A B C F)
  :name "ABCF->ab-angle a"
  :precision binary64
  (/ (- (sqrt (* (* 2.0 (* (- (pow B 2.0) (* (* 4.0 A) C)) F)) (+ (+ A C) (sqrt (+ (pow (- A C) 2.0) (pow B 2.0))))))) (- (pow B 2.0) (* (* 4.0 A) C))))