ABCF->ab-angle a

Percentage Accurate: 19.4% → 58.0%

Time: 9.1s

Alternatives: 13

Speedup: 15.3×

Specification

Math

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

FPCore

(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)))

C

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;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(a, b, c, f)
use fmin_fmax_functions
    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

Java

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;
}

Python

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

Julia

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

MATLAB

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

Wolfram

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]]

Initial Program: 19.4% accurate, 1.0× speedup

Math

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

FPCore

(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)))

C

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;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(a, b, c, f)
use fmin_fmax_functions
    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

Java

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;
}

Python

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

Julia

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

MATLAB

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

Wolfram

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]]

Alternative 1: 58.0% accurate, 1.3× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} t_0 := {B\_m}^{2} - \left(4 \cdot A\right) \cdot C\\ \mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{+14}:\\ \;\;\;\;\frac{-\sqrt{\left(2 \cdot \left(t\_0 \cdot F\right)\right) \cdot \left(2 \cdot C\right)}}{t\_0}\\ \mathbf{else}:\\ \;\;\;\;-1 \cdot \left(\frac{\sqrt{2}}{B\_m} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B\_m, C\right)}\right)\right)\\ \end{array} \end{array} \]

FPCore

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 (- (pow B_m 2.0) (* (* 4.0 A) C))))
   (if (<= (pow B_m 2.0) 5e+14)
     (/ (- (sqrt (* (* 2.0 (* t_0 F)) (* 2.0 C)))) t_0)
     (* -1.0 (* (/ (sqrt 2.0) B_m) (* (sqrt F) (sqrt (+ C (hypot B_m C)))))))))

C

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 = pow(B_m, 2.0) - ((4.0 * A) * C);
	double tmp;
	if (pow(B_m, 2.0) <= 5e+14) {
		tmp = -sqrt(((2.0 * (t_0 * F)) * (2.0 * C))) / t_0;
	} else {
		tmp = -1.0 * ((sqrt(2.0) / B_m) * (sqrt(F) * sqrt((C + hypot(B_m, C)))));
	}
	return tmp;
}

Java

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 t_0 = Math.pow(B_m, 2.0) - ((4.0 * A) * C);
	double tmp;
	if (Math.pow(B_m, 2.0) <= 5e+14) {
		tmp = -Math.sqrt(((2.0 * (t_0 * F)) * (2.0 * C))) / t_0;
	} else {
		tmp = -1.0 * ((Math.sqrt(2.0) / B_m) * (Math.sqrt(F) * Math.sqrt((C + Math.hypot(B_m, C)))));
	}
	return tmp;
}

Python

B_m = math.fabs(B)
[A, B_m, C, F] = sort([A, B_m, C, F])
def code(A, B_m, C, F):
	t_0 = math.pow(B_m, 2.0) - ((4.0 * A) * C)
	tmp = 0
	if math.pow(B_m, 2.0) <= 5e+14:
		tmp = -math.sqrt(((2.0 * (t_0 * F)) * (2.0 * C))) / t_0
	else:
		tmp = -1.0 * ((math.sqrt(2.0) / B_m) * (math.sqrt(F) * math.sqrt((C + math.hypot(B_m, C)))))
	return tmp

Julia

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((B_m ^ 2.0) - Float64(Float64(4.0 * A) * C))
	tmp = 0.0
	if ((B_m ^ 2.0) <= 5e+14)
		tmp = Float64(Float64(-sqrt(Float64(Float64(2.0 * Float64(t_0 * F)) * Float64(2.0 * C)))) / t_0);
	else
		tmp = Float64(-1.0 * Float64(Float64(sqrt(2.0) / B_m) * Float64(sqrt(F) * sqrt(Float64(C + hypot(B_m, C))))));
	end
	return tmp
end

MATLAB

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)
	t_0 = (B_m ^ 2.0) - ((4.0 * A) * C);
	tmp = 0.0;
	if ((B_m ^ 2.0) <= 5e+14)
		tmp = -sqrt(((2.0 * (t_0 * F)) * (2.0 * C))) / t_0;
	else
		tmp = -1.0 * ((sqrt(2.0) / B_m) * (sqrt(F) * sqrt((C + hypot(B_m, C)))));
	end
	tmp_2 = tmp;
end

Wolfram

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[Power[B$95$m, 2.0], $MachinePrecision] - N[(N[(4.0 * A), $MachinePrecision] * C), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 5e+14], N[((-N[Sqrt[N[(N[(2.0 * N[(t$95$0 * F), $MachinePrecision]), $MachinePrecision] * N[(2.0 * C), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]) / t$95$0), $MachinePrecision], N[(-1.0 * N[(N[(N[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision] * N[(N[Sqrt[F], $MachinePrecision] * N[Sqrt[N[(C + N[Sqrt[B$95$m ^ 2 + C ^ 2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if (pow.f64 B #s(literal 2 binary64)) < 5e14

   1. Initial program 23.9%

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

   2. Taylor expanded in A around -inf

      \[\leadsto \frac{-\sqrt{\left(2 \cdot \left(\left({B}^{2} - \left(4 \cdot A\right) \cdot C\right) \cdot F\right)\right) \cdot \color{blue}{\left(2 \cdot C\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
   3. Step-by-step derivation

      1. lower-*.f64 44.1

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

   4. Applied rewrites 44.1%

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

   if 5e14 < (pow.f64 B #s(literal 2 binary64))

   1. Initial program 14.5%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 50.8

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 50.8%

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right)} \]
   5. Step-by-step derivation

      1. lift-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      2. lift-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      3. lift-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      4. lift-hypot.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      5. sqrt-prod N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \sqrt{B \cdot B + C \cdot C}}}\right)\right) \]

      6. pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{{B}^{2} + C \cdot C}}\right)\right) \]

      7. pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{{B}^{2} + {C}^{2}}}\right)\right) \]

      8. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \sqrt{{B}^{2} + {C}^{2}}}}\right)\right) \]

      9. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{\color{blue}{C + \sqrt{{B}^{2} + {C}^{2}}}}\right)\right) \]

      10. pow2 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + {C}^{2}}}\right)\right) \]

      11. pow2 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + C \cdot C}}\right)\right) \]

      12. lower-sqrt.f64 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + C \cdot C}}\right)\right) \]

      13. lift-hypot.f64 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B, C\right)}\right)\right) \]

      14. lift-+.f64 72.9

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B, C\right)}\right)\right) \]

   6. Applied rewrites 72.9%

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \mathsf{hypot}\left(B, C\right)}}\right)\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 2: 51.4% accurate, 1.3× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} t_0 := \frac{\sqrt{2}}{B\_m}\\ \mathbf{if}\;{B\_m}^{2} \leq 5 \cdot 10^{+14}:\\ \;\;\;\;\frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B\_m \cdot B\_m\right) \cdot F\right)\right)}}{A \cdot \left(\frac{B\_m \cdot B\_m}{A} - 4 \cdot C\right)}\\ \mathbf{elif}\;{B\_m}^{2} \leq 2 \cdot 10^{+296}:\\ \;\;\;\;-1 \cdot \left(t\_0 \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B\_m, C\right)\right)}\right)\\ \mathbf{else}:\\ \;\;\;\;-1 \cdot \left(t\_0 \cdot \mathsf{fma}\left(\sqrt{B\_m}, \sqrt{F}, 0.5 \cdot \left(\sqrt{\frac{F}{B\_m}} \cdot C\right)\right)\right)\\ \end{array} \end{array} \]

FPCore

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 (/ (sqrt 2.0) B_m)))
   (if (<= (pow B_m 2.0) 5e+14)
     (/
      (- (sqrt (* C (fma -16.0 (* A (* C F)) (* 8.0 (* (* B_m B_m) F))))))
      (* A (- (/ (* B_m B_m) A) (* 4.0 C))))
     (if (<= (pow B_m 2.0) 2e+296)
       (* -1.0 (* t_0 (sqrt (* F (+ C (hypot B_m C))))))
       (*
        -1.0
        (* t_0 (fma (sqrt B_m) (sqrt F) (* 0.5 (* (sqrt (/ F B_m)) C)))))))))

C

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 = sqrt(2.0) / B_m;
	double tmp;
	if (pow(B_m, 2.0) <= 5e+14) {
		tmp = -sqrt((C * fma(-16.0, (A * (C * F)), (8.0 * ((B_m * B_m) * F))))) / (A * (((B_m * B_m) / A) - (4.0 * C)));
	} else if (pow(B_m, 2.0) <= 2e+296) {
		tmp = -1.0 * (t_0 * sqrt((F * (C + hypot(B_m, C)))));
	} else {
		tmp = -1.0 * (t_0 * fma(sqrt(B_m), sqrt(F), (0.5 * (sqrt((F / B_m)) * C))));
	}
	return tmp;
}

Julia

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(sqrt(2.0) / B_m)
	tmp = 0.0
	if ((B_m ^ 2.0) <= 5e+14)
		tmp = Float64(Float64(-sqrt(Float64(C * fma(-16.0, Float64(A * Float64(C * F)), Float64(8.0 * Float64(Float64(B_m * B_m) * F)))))) / Float64(A * Float64(Float64(Float64(B_m * B_m) / A) - Float64(4.0 * C))));
	elseif ((B_m ^ 2.0) <= 2e+296)
		tmp = Float64(-1.0 * Float64(t_0 * sqrt(Float64(F * Float64(C + hypot(B_m, C))))));
	else
		tmp = Float64(-1.0 * Float64(t_0 * fma(sqrt(B_m), sqrt(F), Float64(0.5 * Float64(sqrt(Float64(F / B_m)) * C)))));
	end
	return tmp
end

Wolfram

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[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision]}, If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 5e+14], N[((-N[Sqrt[N[(C * N[(-16.0 * N[(A * N[(C * F), $MachinePrecision]), $MachinePrecision] + N[(8.0 * N[(N[(B$95$m * B$95$m), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]) / N[(A * N[(N[(N[(B$95$m * B$95$m), $MachinePrecision] / A), $MachinePrecision] - N[(4.0 * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[Power[B$95$m, 2.0], $MachinePrecision], 2e+296], N[(-1.0 * N[(t$95$0 * N[Sqrt[N[(F * N[(C + N[Sqrt[B$95$m ^ 2 + C ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(-1.0 * N[(t$95$0 * N[(N[Sqrt[B$95$m], $MachinePrecision] * N[Sqrt[F], $MachinePrecision] + N[(0.5 * N[(N[Sqrt[N[(F / B$95$m), $MachinePrecision]], $MachinePrecision] * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]

Derivation

1. Split input into 3 regimes

2. if (pow.f64 B #s(literal 2 binary64)) < 5e14

   1. Initial program 23.9%

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

   2. Taylor expanded in A around -inf

      \[\leadsto \frac{-\sqrt{\color{blue}{-1 \cdot \left(A \cdot \left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
   3. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \color{blue}{\left(A \cdot \left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      2. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \color{blue}{\left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      3. lower-fma.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \color{blue}{\frac{{B}^{2} \cdot \left(C \cdot F\right)}{A}}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{{B}^{2} \cdot \left(C \cdot F\right)}{\color{blue}{A}}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      5. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      6. unpow2 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      7. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      9. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      10. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      11. unpow2 N/A

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      12. lower-*.f64 27.8

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   4. Applied rewrites 27.8%

      \[\leadsto \frac{-\sqrt{\color{blue}{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   5. Taylor expanded in C around inf

      \[\leadsto \frac{-\sqrt{{C}^{2} \cdot \color{blue}{\left(-16 \cdot \left(A \cdot F\right) + 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
   6. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{{C}^{2} \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8 \cdot \frac{{B}^{2} \cdot F}{C}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      2. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8} \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8} \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      4. lower-fma.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot \color{blue}{F}, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      5. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      9. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      10. lift-*.f64 27.4

          \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   7. Applied rewrites 27.4%

      \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \color{blue}{\mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   8. Taylor expanded in A around inf

      \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{\color{blue}{A \cdot \left(\frac{{B}^{2}}{A} - 4 \cdot C\right)}} \]
   9. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \color{blue}{\left(\frac{{B}^{2}}{A} - 4 \cdot C\right)}} \]

      2. lower--.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{{B}^{2}}{A} - \color{blue}{4 \cdot C}\right)} \]

      3. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{{B}^{2}}{A} - \color{blue}{4} \cdot C\right)} \]

      4. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

      5. lift-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

      6. lower-*.f64 27.4

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot \color{blue}{C}\right)} \]

   10. Applied rewrites 27.4%

       \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{\color{blue}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)}} \]

   11. Taylor expanded in C around 0

       \[\leadsto \frac{-\sqrt{C \cdot \color{blue}{\left(-16 \cdot \left(A \cdot \left(C \cdot F\right)\right) + 8 \cdot \left({B}^{2} \cdot F\right)\right)}}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]
   12. Step-by-step derivation

       1. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \left(-16 \cdot \left(A \cdot \left(C \cdot F\right)\right) + \color{blue}{8 \cdot \left({B}^{2} \cdot F\right)}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       2. lower-fma.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \color{blue}{\left(C \cdot F\right)}, 8 \cdot \left({B}^{2} \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       3. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot \color{blue}{F}\right), 8 \cdot \left({B}^{2} \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       4. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left({B}^{2} \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       5. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left({B}^{2} \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       6. pow2 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B \cdot B\right) \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       7. lift-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B \cdot B\right) \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       8. lift-*.f64 40.4

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B \cdot B\right) \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

   13. Applied rewrites 40.4%

       \[\leadsto \frac{-\sqrt{C \cdot \color{blue}{\mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B \cdot B\right) \cdot F\right)\right)}}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

   if 5e14 < (pow.f64 B #s(literal 2 binary64)) < 1.99999999999999996e296

   1. Initial program 30.7%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 46.3

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 46.3%

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

   if 1.99999999999999996e296 < (pow.f64 B #s(literal 2 binary64))

   1. Initial program 0.9%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 54.6

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 54.6%

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

   5. Taylor expanded in C around 0

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{B \cdot F} + \color{blue}{\frac{1}{2} \cdot \left(\sqrt{\frac{F}{B}} \cdot C\right)}\right)\right) \]
   6. Step-by-step derivation

      1. sqrt-prod N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{B} \cdot \sqrt{F} + \frac{1}{2} \cdot \left(\color{blue}{\sqrt{\frac{F}{B}}} \cdot C\right)\right)\right) \]

      2. lower-fma.f64 N/A

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

      3. lower-sqrt.f64 N/A

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

      4. lower-sqrt.f64 N/A

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

      5. lower-*.f64 N/A

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

      6. lower-*.f64 N/A

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

      7. lower-sqrt.f64 N/A

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

      8. lift-/.f64 77.3

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \mathsf{fma}\left(\sqrt{B}, \sqrt{F}, 0.5 \cdot \left(\sqrt{\frac{F}{B}} \cdot C\right)\right)\right) \]

   7. Applied rewrites 77.3%

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \mathsf{fma}\left(\sqrt{B}, \color{blue}{\sqrt{F}}, 0.5 \cdot \left(\sqrt{\frac{F}{B}} \cdot C\right)\right)\right) \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 3: 56.5% accurate, 1.8× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;{B\_m}^{2} \leq 4 \cdot 10^{-46}:\\ \;\;\;\;\frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B\_m \cdot B\_m\right) \cdot F\right)\right)}}{A \cdot \left(\frac{B\_m \cdot B\_m}{A} - 4 \cdot C\right)}\\ \mathbf{else}:\\ \;\;\;\;-1 \cdot \left(\frac{\sqrt{2}}{B\_m} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B\_m, C\right)}\right)\right)\\ \end{array} \end{array} \]

FPCore

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 (<= (pow B_m 2.0) 4e-46)
   (/
    (- (sqrt (* C (fma -16.0 (* A (* C F)) (* 8.0 (* (* B_m B_m) F))))))
    (* A (- (/ (* B_m B_m) A) (* 4.0 C))))
   (* -1.0 (* (/ (sqrt 2.0) B_m) (* (sqrt F) (sqrt (+ C (hypot B_m C))))))))

C

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 (pow(B_m, 2.0) <= 4e-46) {
		tmp = -sqrt((C * fma(-16.0, (A * (C * F)), (8.0 * ((B_m * B_m) * F))))) / (A * (((B_m * B_m) / A) - (4.0 * C)));
	} else {
		tmp = -1.0 * ((sqrt(2.0) / B_m) * (sqrt(F) * sqrt((C + hypot(B_m, C)))));
	}
	return tmp;
}

Julia

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 ((B_m ^ 2.0) <= 4e-46)
		tmp = Float64(Float64(-sqrt(Float64(C * fma(-16.0, Float64(A * Float64(C * F)), Float64(8.0 * Float64(Float64(B_m * B_m) * F)))))) / Float64(A * Float64(Float64(Float64(B_m * B_m) / A) - Float64(4.0 * C))));
	else
		tmp = Float64(-1.0 * Float64(Float64(sqrt(2.0) / B_m) * Float64(sqrt(F) * sqrt(Float64(C + hypot(B_m, C))))));
	end
	return tmp
end

Wolfram

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[N[Power[B$95$m, 2.0], $MachinePrecision], 4e-46], N[((-N[Sqrt[N[(C * N[(-16.0 * N[(A * N[(C * F), $MachinePrecision]), $MachinePrecision] + N[(8.0 * N[(N[(B$95$m * B$95$m), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]) / N[(A * N[(N[(N[(B$95$m * B$95$m), $MachinePrecision] / A), $MachinePrecision] - N[(4.0 * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(-1.0 * N[(N[(N[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision] * N[(N[Sqrt[F], $MachinePrecision] * N[Sqrt[N[(C + N[Sqrt[B$95$m ^ 2 + C ^ 2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if (pow.f64 B #s(literal 2 binary64)) < 4.00000000000000009e-46

   1. Initial program 22.6%

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

   2. Taylor expanded in A around -inf

      \[\leadsto \frac{-\sqrt{\color{blue}{-1 \cdot \left(A \cdot \left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
   3. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \color{blue}{\left(A \cdot \left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      2. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \color{blue}{\left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      3. lower-fma.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \color{blue}{\frac{{B}^{2} \cdot \left(C \cdot F\right)}{A}}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{{B}^{2} \cdot \left(C \cdot F\right)}{\color{blue}{A}}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      5. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      6. unpow2 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      7. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      9. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      10. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      11. unpow2 N/A

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      12. lower-*.f64 28.7

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   4. Applied rewrites 28.7%

      \[\leadsto \frac{-\sqrt{\color{blue}{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   5. Taylor expanded in C around inf

      \[\leadsto \frac{-\sqrt{{C}^{2} \cdot \color{blue}{\left(-16 \cdot \left(A \cdot F\right) + 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
   6. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{{C}^{2} \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8 \cdot \frac{{B}^{2} \cdot F}{C}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      2. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8} \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8} \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      4. lower-fma.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot \color{blue}{F}, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      5. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      9. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      10. lift-*.f64 28.1

          \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   7. Applied rewrites 28.1%

      \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \color{blue}{\mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   8. Taylor expanded in A around inf

      \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{\color{blue}{A \cdot \left(\frac{{B}^{2}}{A} - 4 \cdot C\right)}} \]
   9. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \color{blue}{\left(\frac{{B}^{2}}{A} - 4 \cdot C\right)}} \]

      2. lower--.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{{B}^{2}}{A} - \color{blue}{4 \cdot C}\right)} \]

      3. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{{B}^{2}}{A} - \color{blue}{4} \cdot C\right)} \]

      4. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

      5. lift-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

      6. lower-*.f64 28.1

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot \color{blue}{C}\right)} \]

   10. Applied rewrites 28.1%

       \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{\color{blue}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)}} \]

   11. Taylor expanded in C around 0

       \[\leadsto \frac{-\sqrt{C \cdot \color{blue}{\left(-16 \cdot \left(A \cdot \left(C \cdot F\right)\right) + 8 \cdot \left({B}^{2} \cdot F\right)\right)}}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]
   12. Step-by-step derivation

       1. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \left(-16 \cdot \left(A \cdot \left(C \cdot F\right)\right) + \color{blue}{8 \cdot \left({B}^{2} \cdot F\right)}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       2. lower-fma.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \color{blue}{\left(C \cdot F\right)}, 8 \cdot \left({B}^{2} \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       3. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot \color{blue}{F}\right), 8 \cdot \left({B}^{2} \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       4. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left({B}^{2} \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       5. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left({B}^{2} \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       6. pow2 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B \cdot B\right) \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       7. lift-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B \cdot B\right) \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       8. lift-*.f64 41.4

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B \cdot B\right) \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

   13. Applied rewrites 41.4%

       \[\leadsto \frac{-\sqrt{C \cdot \color{blue}{\mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B \cdot B\right) \cdot F\right)\right)}}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

   if 4.00000000000000009e-46 < (pow.f64 B #s(literal 2 binary64))

   1. Initial program 16.4%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 49.6

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 49.6%

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right)} \]
   5. Step-by-step derivation

      1. lift-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      2. lift-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      3. lift-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      4. lift-hypot.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      5. sqrt-prod N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \sqrt{B \cdot B + C \cdot C}}}\right)\right) \]

      6. pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{{B}^{2} + C \cdot C}}\right)\right) \]

      7. pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{{B}^{2} + {C}^{2}}}\right)\right) \]

      8. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \sqrt{{B}^{2} + {C}^{2}}}}\right)\right) \]

      9. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{\color{blue}{C + \sqrt{{B}^{2} + {C}^{2}}}}\right)\right) \]

      10. pow2 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + {C}^{2}}}\right)\right) \]

      11. pow2 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + C \cdot C}}\right)\right) \]

      12. lower-sqrt.f64 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + C \cdot C}}\right)\right) \]

      13. lift-hypot.f64 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B, C\right)}\right)\right) \]

      14. lift-+.f64 69.9

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B, C\right)}\right)\right) \]

   6. Applied rewrites 69.9%

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \mathsf{hypot}\left(B, C\right)}}\right)\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 4: 50.5% accurate, 5.2× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;B\_m \leq 235000000:\\ \;\;\;\;\frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B\_m \cdot B\_m\right) \cdot F\right)\right)}}{A \cdot \left(\frac{B\_m \cdot B\_m}{A} - 4 \cdot C\right)}\\ \mathbf{else}:\\ \;\;\;\;-1 \cdot \left(\frac{\sqrt{2}}{B\_m} \cdot \mathsf{fma}\left(\sqrt{B\_m}, \sqrt{F}, 0.5 \cdot \left(\sqrt{\frac{F}{B\_m}} \cdot C\right)\right)\right)\\ \end{array} \end{array} \]

FPCore

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 (<= B_m 235000000.0)
   (/
    (- (sqrt (* C (fma -16.0 (* A (* C F)) (* 8.0 (* (* B_m B_m) F))))))
    (* A (- (/ (* B_m B_m) A) (* 4.0 C))))
   (*
    -1.0
    (*
     (/ (sqrt 2.0) B_m)
     (fma (sqrt B_m) (sqrt F) (* 0.5 (* (sqrt (/ F B_m)) C)))))))

C

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 (B_m <= 235000000.0) {
		tmp = -sqrt((C * fma(-16.0, (A * (C * F)), (8.0 * ((B_m * B_m) * F))))) / (A * (((B_m * B_m) / A) - (4.0 * C)));
	} else {
		tmp = -1.0 * ((sqrt(2.0) / B_m) * fma(sqrt(B_m), sqrt(F), (0.5 * (sqrt((F / B_m)) * C))));
	}
	return tmp;
}

Julia

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 (B_m <= 235000000.0)
		tmp = Float64(Float64(-sqrt(Float64(C * fma(-16.0, Float64(A * Float64(C * F)), Float64(8.0 * Float64(Float64(B_m * B_m) * F)))))) / Float64(A * Float64(Float64(Float64(B_m * B_m) / A) - Float64(4.0 * C))));
	else
		tmp = Float64(-1.0 * Float64(Float64(sqrt(2.0) / B_m) * fma(sqrt(B_m), sqrt(F), Float64(0.5 * Float64(sqrt(Float64(F / B_m)) * C)))));
	end
	return tmp
end

Wolfram

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[B$95$m, 235000000.0], N[((-N[Sqrt[N[(C * N[(-16.0 * N[(A * N[(C * F), $MachinePrecision]), $MachinePrecision] + N[(8.0 * N[(N[(B$95$m * B$95$m), $MachinePrecision] * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]) / N[(A * N[(N[(N[(B$95$m * B$95$m), $MachinePrecision] / A), $MachinePrecision] - N[(4.0 * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(-1.0 * N[(N[(N[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision] * N[(N[Sqrt[B$95$m], $MachinePrecision] * N[Sqrt[F], $MachinePrecision] + N[(0.5 * N[(N[Sqrt[N[(F / B$95$m), $MachinePrecision]], $MachinePrecision] * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if B < 2.35e8

   1. Initial program 23.9%

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

   2. Taylor expanded in A around -inf

      \[\leadsto \frac{-\sqrt{\color{blue}{-1 \cdot \left(A \cdot \left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
   3. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \color{blue}{\left(A \cdot \left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      2. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \color{blue}{\left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      3. lower-fma.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \color{blue}{\frac{{B}^{2} \cdot \left(C \cdot F\right)}{A}}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{{B}^{2} \cdot \left(C \cdot F\right)}{\color{blue}{A}}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      5. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      6. unpow2 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      7. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      9. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      10. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      11. unpow2 N/A

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      12. lower-*.f64 27.8

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   4. Applied rewrites 27.8%

      \[\leadsto \frac{-\sqrt{\color{blue}{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   5. Taylor expanded in C around inf

      \[\leadsto \frac{-\sqrt{{C}^{2} \cdot \color{blue}{\left(-16 \cdot \left(A \cdot F\right) + 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
   6. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{{C}^{2} \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8 \cdot \frac{{B}^{2} \cdot F}{C}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      2. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8} \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8} \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      4. lower-fma.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot \color{blue}{F}, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      5. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      9. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      10. lift-*.f64 27.3

          \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   7. Applied rewrites 27.3%

      \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \color{blue}{\mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   8. Taylor expanded in A around inf

      \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{\color{blue}{A \cdot \left(\frac{{B}^{2}}{A} - 4 \cdot C\right)}} \]
   9. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \color{blue}{\left(\frac{{B}^{2}}{A} - 4 \cdot C\right)}} \]

      2. lower--.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{{B}^{2}}{A} - \color{blue}{4 \cdot C}\right)} \]

      3. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{{B}^{2}}{A} - \color{blue}{4} \cdot C\right)} \]

      4. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

      5. lift-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

      6. lower-*.f64 27.3

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot \color{blue}{C}\right)} \]

   10. Applied rewrites 27.3%

       \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{\color{blue}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)}} \]

   11. Taylor expanded in C around 0

       \[\leadsto \frac{-\sqrt{C \cdot \color{blue}{\left(-16 \cdot \left(A \cdot \left(C \cdot F\right)\right) + 8 \cdot \left({B}^{2} \cdot F\right)\right)}}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]
   12. Step-by-step derivation

       1. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \left(-16 \cdot \left(A \cdot \left(C \cdot F\right)\right) + \color{blue}{8 \cdot \left({B}^{2} \cdot F\right)}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       2. lower-fma.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \color{blue}{\left(C \cdot F\right)}, 8 \cdot \left({B}^{2} \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       3. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot \color{blue}{F}\right), 8 \cdot \left({B}^{2} \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       4. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left({B}^{2} \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       5. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left({B}^{2} \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       6. pow2 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B \cdot B\right) \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       7. lift-*.f64 N/A

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B \cdot B\right) \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       8. lift-*.f64 40.3

          \[\leadsto \frac{-\sqrt{C \cdot \mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B \cdot B\right) \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

   13. Applied rewrites 40.3%

       \[\leadsto \frac{-\sqrt{C \cdot \color{blue}{\mathsf{fma}\left(-16, A \cdot \left(C \cdot F\right), 8 \cdot \left(\left(B \cdot B\right) \cdot F\right)\right)}}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

   if 2.35e8 < B

   1. Initial program 14.5%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 50.9

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 50.9%

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

   5. Taylor expanded in C around 0

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{B \cdot F} + \color{blue}{\frac{1}{2} \cdot \left(\sqrt{\frac{F}{B}} \cdot C\right)}\right)\right) \]
   6. Step-by-step derivation

      1. sqrt-prod N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{B} \cdot \sqrt{F} + \frac{1}{2} \cdot \left(\color{blue}{\sqrt{\frac{F}{B}}} \cdot C\right)\right)\right) \]

      2. lower-fma.f64 N/A

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

      3. lower-sqrt.f64 N/A

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

      4. lower-sqrt.f64 N/A

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

      5. lower-*.f64 N/A

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

      6. lower-*.f64 N/A

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

      7. lower-sqrt.f64 N/A

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

      8. lift-/.f64 61.3

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \mathsf{fma}\left(\sqrt{B}, \sqrt{F}, 0.5 \cdot \left(\sqrt{\frac{F}{B}} \cdot C\right)\right)\right) \]

   7. Applied rewrites 61.3%

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \mathsf{fma}\left(\sqrt{B}, \color{blue}{\sqrt{F}}, 0.5 \cdot \left(\sqrt{\frac{F}{B}} \cdot C\right)\right)\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 5: 43.9% accurate, 5.2× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;B\_m \leq 4.3 \cdot 10^{-48}:\\ \;\;\;\;\frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right)\right)}}{A \cdot \left(\frac{B\_m \cdot B\_m}{A} - 4 \cdot C\right)}\\ \mathbf{else}:\\ \;\;\;\;-1 \cdot \left(\frac{\sqrt{2}}{B\_m} \cdot \mathsf{fma}\left(\sqrt{B\_m}, \sqrt{F}, 0.5 \cdot \left(\sqrt{\frac{F}{B\_m}} \cdot C\right)\right)\right)\\ \end{array} \end{array} \]

FPCore

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 (<= B_m 4.3e-48)
   (/
    (- (sqrt (* (* C C) (* -16.0 (* A F)))))
    (* A (- (/ (* B_m B_m) A) (* 4.0 C))))
   (*
    -1.0
    (*
     (/ (sqrt 2.0) B_m)
     (fma (sqrt B_m) (sqrt F) (* 0.5 (* (sqrt (/ F B_m)) C)))))))

C

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 (B_m <= 4.3e-48) {
		tmp = -sqrt(((C * C) * (-16.0 * (A * F)))) / (A * (((B_m * B_m) / A) - (4.0 * C)));
	} else {
		tmp = -1.0 * ((sqrt(2.0) / B_m) * fma(sqrt(B_m), sqrt(F), (0.5 * (sqrt((F / B_m)) * C))));
	}
	return tmp;
}

Julia

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 (B_m <= 4.3e-48)
		tmp = Float64(Float64(-sqrt(Float64(Float64(C * C) * Float64(-16.0 * Float64(A * F))))) / Float64(A * Float64(Float64(Float64(B_m * B_m) / A) - Float64(4.0 * C))));
	else
		tmp = Float64(-1.0 * Float64(Float64(sqrt(2.0) / B_m) * fma(sqrt(B_m), sqrt(F), Float64(0.5 * Float64(sqrt(Float64(F / B_m)) * C)))));
	end
	return tmp
end

Wolfram

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[B$95$m, 4.3e-48], N[((-N[Sqrt[N[(N[(C * C), $MachinePrecision] * N[(-16.0 * N[(A * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]) / N[(A * N[(N[(N[(B$95$m * B$95$m), $MachinePrecision] / A), $MachinePrecision] - N[(4.0 * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(-1.0 * N[(N[(N[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision] * N[(N[Sqrt[B$95$m], $MachinePrecision] * N[Sqrt[F], $MachinePrecision] + N[(0.5 * N[(N[Sqrt[N[(F / B$95$m), $MachinePrecision]], $MachinePrecision] * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if B < 4.3e-48

   1. Initial program 21.4%

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

   2. Taylor expanded in A around -inf

      \[\leadsto \frac{-\sqrt{\color{blue}{-1 \cdot \left(A \cdot \left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
   3. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \color{blue}{\left(A \cdot \left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      2. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \color{blue}{\left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      3. lower-fma.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \color{blue}{\frac{{B}^{2} \cdot \left(C \cdot F\right)}{A}}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{{B}^{2} \cdot \left(C \cdot F\right)}{\color{blue}{A}}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      5. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      6. unpow2 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      7. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      9. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      10. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      11. unpow2 N/A

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      12. lower-*.f64 29.4

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   4. Applied rewrites 29.4%

      \[\leadsto \frac{-\sqrt{\color{blue}{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   5. Taylor expanded in C around inf

      \[\leadsto \frac{-\sqrt{{C}^{2} \cdot \color{blue}{\left(-16 \cdot \left(A \cdot F\right) + 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
   6. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{{C}^{2} \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8 \cdot \frac{{B}^{2} \cdot F}{C}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      2. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8} \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8} \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      4. lower-fma.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot \color{blue}{F}, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      5. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      9. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      10. lift-*.f64 28.5

          \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   7. Applied rewrites 28.5%

      \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \color{blue}{\mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   8. Taylor expanded in A around inf

      \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{\color{blue}{A \cdot \left(\frac{{B}^{2}}{A} - 4 \cdot C\right)}} \]
   9. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \color{blue}{\left(\frac{{B}^{2}}{A} - 4 \cdot C\right)}} \]

      2. lower--.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{{B}^{2}}{A} - \color{blue}{4 \cdot C}\right)} \]

      3. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{{B}^{2}}{A} - \color{blue}{4} \cdot C\right)} \]

      4. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

      5. lift-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

      6. lower-*.f64 28.6

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot \color{blue}{C}\right)} \]

   10. Applied rewrites 28.6%

       \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{\color{blue}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)}} \]

   11. Taylor expanded in A around inf

       \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot \color{blue}{F}\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]
   12. Step-by-step derivation

       1. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       2. lift-*.f64 28.2

          \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

   13. Applied rewrites 28.2%

       \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot \color{blue}{F}\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

   if 4.3e-48 < B

   1. Initial program 17.8%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 48.3

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 48.3%

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

   5. Taylor expanded in C around 0

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{B \cdot F} + \color{blue}{\frac{1}{2} \cdot \left(\sqrt{\frac{F}{B}} \cdot C\right)}\right)\right) \]
   6. Step-by-step derivation

      1. sqrt-prod N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{B} \cdot \sqrt{F} + \frac{1}{2} \cdot \left(\color{blue}{\sqrt{\frac{F}{B}}} \cdot C\right)\right)\right) \]

      2. lower-fma.f64 N/A

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

      3. lower-sqrt.f64 N/A

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

      4. lower-sqrt.f64 N/A

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

      5. lower-*.f64 N/A

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

      6. lower-*.f64 N/A

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

      7. lower-sqrt.f64 N/A

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

      8. lift-/.f64 55.8

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \mathsf{fma}\left(\sqrt{B}, \sqrt{F}, 0.5 \cdot \left(\sqrt{\frac{F}{B}} \cdot C\right)\right)\right) \]

   7. Applied rewrites 55.8%

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \mathsf{fma}\left(\sqrt{B}, \color{blue}{\sqrt{F}}, 0.5 \cdot \left(\sqrt{\frac{F}{B}} \cdot C\right)\right)\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 6: 43.9% accurate, 6.2× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;B\_m \leq 4.3 \cdot 10^{-48}:\\ \;\;\;\;\frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right)\right)}}{A \cdot \left(\frac{B\_m \cdot B\_m}{A} - 4 \cdot C\right)}\\ \mathbf{else}:\\ \;\;\;\;-1 \cdot \left(\frac{\sqrt{2}}{B\_m} \cdot \left(\sqrt{F} \cdot \sqrt{B\_m}\right)\right)\\ \end{array} \end{array} \]

FPCore

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 (<= B_m 4.3e-48)
   (/
    (- (sqrt (* (* C C) (* -16.0 (* A F)))))
    (* A (- (/ (* B_m B_m) A) (* 4.0 C))))
   (* -1.0 (* (/ (sqrt 2.0) B_m) (* (sqrt F) (sqrt B_m))))))

C

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 (B_m <= 4.3e-48) {
		tmp = -sqrt(((C * C) * (-16.0 * (A * F)))) / (A * (((B_m * B_m) / A) - (4.0 * C)));
	} else {
		tmp = -1.0 * ((sqrt(2.0) / B_m) * (sqrt(F) * sqrt(B_m)));
	}
	return tmp;
}

Fortran

B_m =     private
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(a, b_m, c, f)
use fmin_fmax_functions
    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 (b_m <= 4.3d-48) then
        tmp = -sqrt(((c * c) * ((-16.0d0) * (a * f)))) / (a * (((b_m * b_m) / a) - (4.0d0 * c)))
    else
        tmp = (-1.0d0) * ((sqrt(2.0d0) / b_m) * (sqrt(f) * sqrt(b_m)))
    end if
    code = tmp
end function

Java

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 (B_m <= 4.3e-48) {
		tmp = -Math.sqrt(((C * C) * (-16.0 * (A * F)))) / (A * (((B_m * B_m) / A) - (4.0 * C)));
	} else {
		tmp = -1.0 * ((Math.sqrt(2.0) / B_m) * (Math.sqrt(F) * Math.sqrt(B_m)));
	}
	return tmp;
}

Python

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 B_m <= 4.3e-48:
		tmp = -math.sqrt(((C * C) * (-16.0 * (A * F)))) / (A * (((B_m * B_m) / A) - (4.0 * C)))
	else:
		tmp = -1.0 * ((math.sqrt(2.0) / B_m) * (math.sqrt(F) * math.sqrt(B_m)))
	return tmp

Julia

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 (B_m <= 4.3e-48)
		tmp = Float64(Float64(-sqrt(Float64(Float64(C * C) * Float64(-16.0 * Float64(A * F))))) / Float64(A * Float64(Float64(Float64(B_m * B_m) / A) - Float64(4.0 * C))));
	else
		tmp = Float64(-1.0 * Float64(Float64(sqrt(2.0) / B_m) * Float64(sqrt(F) * sqrt(B_m))));
	end
	return tmp
end

MATLAB

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 (B_m <= 4.3e-48)
		tmp = -sqrt(((C * C) * (-16.0 * (A * F)))) / (A * (((B_m * B_m) / A) - (4.0 * C)));
	else
		tmp = -1.0 * ((sqrt(2.0) / B_m) * (sqrt(F) * sqrt(B_m)));
	end
	tmp_2 = tmp;
end

Wolfram

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[B$95$m, 4.3e-48], N[((-N[Sqrt[N[(N[(C * C), $MachinePrecision] * N[(-16.0 * N[(A * F), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]) / N[(A * N[(N[(N[(B$95$m * B$95$m), $MachinePrecision] / A), $MachinePrecision] - N[(4.0 * C), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(-1.0 * N[(N[(N[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision] * N[(N[Sqrt[F], $MachinePrecision] * N[Sqrt[B$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if B < 4.3e-48

   1. Initial program 21.4%

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

   2. Taylor expanded in A around -inf

      \[\leadsto \frac{-\sqrt{\color{blue}{-1 \cdot \left(A \cdot \left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
   3. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \color{blue}{\left(A \cdot \left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      2. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \color{blue}{\left(-8 \cdot \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A} + 16 \cdot \left({C}^{2} \cdot F\right)\right)}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      3. lower-fma.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \color{blue}{\frac{{B}^{2} \cdot \left(C \cdot F\right)}{A}}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{{B}^{2} \cdot \left(C \cdot F\right)}{\color{blue}{A}}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      5. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{{B}^{2} \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      6. unpow2 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      7. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      9. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      10. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left({C}^{2} \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      11. unpow2 N/A

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      12. lower-*.f64 29.4

          \[\leadsto \frac{-\sqrt{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   4. Applied rewrites 29.4%

      \[\leadsto \frac{-\sqrt{\color{blue}{-1 \cdot \left(A \cdot \mathsf{fma}\left(-8, \frac{\left(B \cdot B\right) \cdot \left(C \cdot F\right)}{A}, 16 \cdot \left(\left(C \cdot C\right) \cdot F\right)\right)\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   5. Taylor expanded in C around inf

      \[\leadsto \frac{-\sqrt{{C}^{2} \cdot \color{blue}{\left(-16 \cdot \left(A \cdot F\right) + 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]
   6. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{{C}^{2} \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8 \cdot \frac{{B}^{2} \cdot F}{C}}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      2. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8} \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right) + \color{blue}{8} \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      4. lower-fma.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot \color{blue}{F}, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      5. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{{B}^{2} \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      9. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

      10. lift-*.f64 28.5

          \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   7. Applied rewrites 28.5%

      \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \color{blue}{\mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}}{{B}^{2} - \left(4 \cdot A\right) \cdot C} \]

   8. Taylor expanded in A around inf

      \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{\color{blue}{A \cdot \left(\frac{{B}^{2}}{A} - 4 \cdot C\right)}} \]
   9. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \color{blue}{\left(\frac{{B}^{2}}{A} - 4 \cdot C\right)}} \]

      2. lower--.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{{B}^{2}}{A} - \color{blue}{4 \cdot C}\right)} \]

      3. lower-/.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{{B}^{2}}{A} - \color{blue}{4} \cdot C\right)} \]

      4. pow2 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

      5. lift-*.f64 N/A

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

      6. lower-*.f64 28.6

         \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot \color{blue}{C}\right)} \]

   10. Applied rewrites 28.6%

       \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \mathsf{fma}\left(-16, A \cdot F, 8 \cdot \frac{\left(B \cdot B\right) \cdot F}{C}\right)}}{\color{blue}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)}} \]

   11. Taylor expanded in A around inf

       \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot \color{blue}{F}\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]
   12. Step-by-step derivation

       1. lower-*.f64 N/A

          \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

       2. lift-*.f64 28.2

          \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot F\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

   13. Applied rewrites 28.2%

       \[\leadsto \frac{-\sqrt{\left(C \cdot C\right) \cdot \left(-16 \cdot \left(A \cdot \color{blue}{F}\right)\right)}}{A \cdot \left(\frac{B \cdot B}{A} - 4 \cdot C\right)} \]

   if 4.3e-48 < B

   1. Initial program 17.8%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 48.3

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 48.3%

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right)} \]
   5. Step-by-step derivation

      1. lift-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      2. lift-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      3. lift-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      4. lift-hypot.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      5. sqrt-prod N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \sqrt{B \cdot B + C \cdot C}}}\right)\right) \]

      6. pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{{B}^{2} + C \cdot C}}\right)\right) \]

      7. pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{{B}^{2} + {C}^{2}}}\right)\right) \]

      8. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \sqrt{{B}^{2} + {C}^{2}}}}\right)\right) \]

      9. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{\color{blue}{C + \sqrt{{B}^{2} + {C}^{2}}}}\right)\right) \]

      10. pow2 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + {C}^{2}}}\right)\right) \]

      11. pow2 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + C \cdot C}}\right)\right) \]

      12. lower-sqrt.f64 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + C \cdot C}}\right)\right) \]

      13. lift-hypot.f64 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B, C\right)}\right)\right) \]

      14. lift-+.f64 67.2

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B, C\right)}\right)\right) \]

   6. Applied rewrites 67.2%

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

   7. Taylor expanded in B around inf

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{B}\right)\right) \]
   8. Step-by-step derivation

   9. Applied rewrites 55.7%

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{B}\right)\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 7: 37.5% accurate, 7.4× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} t_0 := \frac{\sqrt{2}}{B\_m}\\ \mathbf{if}\;C \leq 6.2 \cdot 10^{+204}:\\ \;\;\;\;-1 \cdot \left(t\_0 \cdot \left(\sqrt{F} \cdot \sqrt{B\_m}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;-1 \cdot \left(t\_0 \cdot \left(\sqrt{F} \cdot \sqrt{C + C}\right)\right)\\ \end{array} \end{array} \]

FPCore

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 (/ (sqrt 2.0) B_m)))
   (if (<= C 6.2e+204)
     (* -1.0 (* t_0 (* (sqrt F) (sqrt B_m))))
     (* -1.0 (* t_0 (* (sqrt F) (sqrt (+ C C))))))))

C

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 = sqrt(2.0) / B_m;
	double tmp;
	if (C <= 6.2e+204) {
		tmp = -1.0 * (t_0 * (sqrt(F) * sqrt(B_m)));
	} else {
		tmp = -1.0 * (t_0 * (sqrt(F) * sqrt((C + C))));
	}
	return tmp;
}

Fortran

B_m =     private
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(a, b_m, c, f)
use fmin_fmax_functions
    real(8), intent (in) :: a
    real(8), intent (in) :: b_m
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    real(8) :: t_0
    real(8) :: tmp
    t_0 = sqrt(2.0d0) / b_m
    if (c <= 6.2d+204) then
        tmp = (-1.0d0) * (t_0 * (sqrt(f) * sqrt(b_m)))
    else
        tmp = (-1.0d0) * (t_0 * (sqrt(f) * sqrt((c + c))))
    end if
    code = tmp
end function

Java

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 t_0 = Math.sqrt(2.0) / B_m;
	double tmp;
	if (C <= 6.2e+204) {
		tmp = -1.0 * (t_0 * (Math.sqrt(F) * Math.sqrt(B_m)));
	} else {
		tmp = -1.0 * (t_0 * (Math.sqrt(F) * Math.sqrt((C + C))));
	}
	return tmp;
}

Python

B_m = math.fabs(B)
[A, B_m, C, F] = sort([A, B_m, C, F])
def code(A, B_m, C, F):
	t_0 = math.sqrt(2.0) / B_m
	tmp = 0
	if C <= 6.2e+204:
		tmp = -1.0 * (t_0 * (math.sqrt(F) * math.sqrt(B_m)))
	else:
		tmp = -1.0 * (t_0 * (math.sqrt(F) * math.sqrt((C + C))))
	return tmp

Julia

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(sqrt(2.0) / B_m)
	tmp = 0.0
	if (C <= 6.2e+204)
		tmp = Float64(-1.0 * Float64(t_0 * Float64(sqrt(F) * sqrt(B_m))));
	else
		tmp = Float64(-1.0 * Float64(t_0 * Float64(sqrt(F) * sqrt(Float64(C + C)))));
	end
	return tmp
end

MATLAB

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)
	t_0 = sqrt(2.0) / B_m;
	tmp = 0.0;
	if (C <= 6.2e+204)
		tmp = -1.0 * (t_0 * (sqrt(F) * sqrt(B_m)));
	else
		tmp = -1.0 * (t_0 * (sqrt(F) * sqrt((C + C))));
	end
	tmp_2 = tmp;
end

Wolfram

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[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision]}, If[LessEqual[C, 6.2e+204], N[(-1.0 * N[(t$95$0 * N[(N[Sqrt[F], $MachinePrecision] * N[Sqrt[B$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(-1.0 * N[(t$95$0 * N[(N[Sqrt[F], $MachinePrecision] * N[Sqrt[N[(C + C), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if C < 6.2000000000000003e204

   1. Initial program 23.0%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 34.8

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 34.8%

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right)} \]
   5. Step-by-step derivation

      1. lift-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      2. lift-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      3. lift-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      4. lift-hypot.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      5. sqrt-prod N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \sqrt{B \cdot B + C \cdot C}}}\right)\right) \]

      6. pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{{B}^{2} + C \cdot C}}\right)\right) \]

      7. pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{{B}^{2} + {C}^{2}}}\right)\right) \]

      8. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \sqrt{{B}^{2} + {C}^{2}}}}\right)\right) \]

      9. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{\color{blue}{C + \sqrt{{B}^{2} + {C}^{2}}}}\right)\right) \]

      10. pow2 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + {C}^{2}}}\right)\right) \]

      11. pow2 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + C \cdot C}}\right)\right) \]

      12. lower-sqrt.f64 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + C \cdot C}}\right)\right) \]

      13. lift-hypot.f64 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B, C\right)}\right)\right) \]

      14. lift-+.f64 45.7

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B, C\right)}\right)\right) \]

   6. Applied rewrites 45.7%

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

   7. Taylor expanded in B around inf

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{B}\right)\right) \]
   8. Step-by-step derivation

   9. Applied rewrites 40.4%

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{B}\right)\right) \]

   if 6.2000000000000003e204 < C

   1. Initial program 1.7%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 18.1

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 18.1%

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right)} \]
   5. Step-by-step derivation

      1. lift-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      2. lift-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      3. lift-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      4. lift-hypot.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      5. sqrt-prod N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \sqrt{B \cdot B + C \cdot C}}}\right)\right) \]

      6. pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{{B}^{2} + C \cdot C}}\right)\right) \]

      7. pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{{B}^{2} + {C}^{2}}}\right)\right) \]

      8. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \sqrt{{B}^{2} + {C}^{2}}}}\right)\right) \]

      9. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{\color{blue}{C + \sqrt{{B}^{2} + {C}^{2}}}}\right)\right) \]

      10. pow2 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + {C}^{2}}}\right)\right) \]

      11. pow2 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + C \cdot C}}\right)\right) \]

      12. lower-sqrt.f64 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + C \cdot C}}\right)\right) \]

      13. lift-hypot.f64 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B, C\right)}\right)\right) \]

      14. lift-+.f64 31.3

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B, C\right)}\right)\right) \]

   6. Applied rewrites 31.3%

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

   7. Taylor expanded in B around 0

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + C}\right)\right) \]
   8. Step-by-step derivation

   9. Applied rewrites 23.3%

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + C}\right)\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 8: 36.1% accurate, 7.8× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;C \leq 6 \cdot 10^{+218}:\\ \;\;\;\;-1 \cdot \left(\frac{\sqrt{2}}{B\_m} \cdot \left(\sqrt{F} \cdot \sqrt{B\_m}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;-1 \cdot \left(\frac{2}{B\_m} \cdot \sqrt{C \cdot F}\right)\\ \end{array} \end{array} \]

FPCore

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 6e+218)
   (* -1.0 (* (/ (sqrt 2.0) B_m) (* (sqrt F) (sqrt B_m))))
   (* -1.0 (* (/ 2.0 B_m) (sqrt (* C F))))))

C

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 <= 6e+218) {
		tmp = -1.0 * ((sqrt(2.0) / B_m) * (sqrt(F) * sqrt(B_m)));
	} else {
		tmp = -1.0 * ((2.0 / B_m) * sqrt((C * F)));
	}
	return tmp;
}

Fortran

B_m =     private
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(a, b_m, c, f)
use fmin_fmax_functions
    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 <= 6d+218) then
        tmp = (-1.0d0) * ((sqrt(2.0d0) / b_m) * (sqrt(f) * sqrt(b_m)))
    else
        tmp = (-1.0d0) * ((2.0d0 / b_m) * sqrt((c * f)))
    end if
    code = tmp
end function

Java

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 <= 6e+218) {
		tmp = -1.0 * ((Math.sqrt(2.0) / B_m) * (Math.sqrt(F) * Math.sqrt(B_m)));
	} else {
		tmp = -1.0 * ((2.0 / B_m) * Math.sqrt((C * F)));
	}
	return tmp;
}

Python

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 <= 6e+218:
		tmp = -1.0 * ((math.sqrt(2.0) / B_m) * (math.sqrt(F) * math.sqrt(B_m)))
	else:
		tmp = -1.0 * ((2.0 / B_m) * math.sqrt((C * F)))
	return tmp

Julia

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 <= 6e+218)
		tmp = Float64(-1.0 * Float64(Float64(sqrt(2.0) / B_m) * Float64(sqrt(F) * sqrt(B_m))));
	else
		tmp = Float64(-1.0 * Float64(Float64(2.0 / B_m) * sqrt(Float64(C * F))));
	end
	return tmp
end

MATLAB

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 <= 6e+218)
		tmp = -1.0 * ((sqrt(2.0) / B_m) * (sqrt(F) * sqrt(B_m)));
	else
		tmp = -1.0 * ((2.0 / B_m) * sqrt((C * F)));
	end
	tmp_2 = tmp;
end

Wolfram

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, 6e+218], N[(-1.0 * N[(N[(N[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision] * N[(N[Sqrt[F], $MachinePrecision] * N[Sqrt[B$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(-1.0 * N[(N[(2.0 / B$95$m), $MachinePrecision] * N[Sqrt[N[(C * F), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if C < 6.0000000000000001e218

   1. Initial program 22.4%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 34.4

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 34.4%

      \[\leadsto \color{blue}{-1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right)} \]
   5. Step-by-step derivation

      1. lift-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      2. lift-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      3. lift-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

      4. lift-hypot.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      5. sqrt-prod N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \sqrt{B \cdot B + C \cdot C}}}\right)\right) \]

      6. pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{{B}^{2} + C \cdot C}}\right)\right) \]

      7. pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{{B}^{2} + {C}^{2}}}\right)\right) \]

      8. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \color{blue}{\sqrt{C + \sqrt{{B}^{2} + {C}^{2}}}}\right)\right) \]

      9. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{\color{blue}{C + \sqrt{{B}^{2} + {C}^{2}}}}\right)\right) \]

      10. pow2 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + {C}^{2}}}\right)\right) \]

      11. pow2 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + C \cdot C}}\right)\right) \]

      12. lower-sqrt.f64 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \sqrt{B \cdot B + C \cdot C}}\right)\right) \]

      13. lift-hypot.f64 N/A

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B, C\right)}\right)\right) \]

      14. lift-+.f64 45.5

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{C + \mathsf{hypot}\left(B, C\right)}\right)\right) \]

   6. Applied rewrites 45.5%

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

   7. Taylor expanded in B around inf

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{B}\right)\right) \]
   8. Step-by-step derivation

   9. Applied rewrites 39.8%

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \left(\sqrt{F} \cdot \sqrt{B}\right)\right) \]

   if 6.0000000000000001e218 < C

   1. Initial program 1.7%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 17.7

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 17.7%

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

   5. Taylor expanded in B around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right) \]

      2. sqrt-pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{{2}^{\left(\frac{2}{2}\right)}}{B} \cdot \sqrt{C \cdot F}\right) \]

      3. metadata-eval N/A

         \[\leadsto -1 \cdot \left(\frac{{2}^{1}}{B} \cdot \sqrt{C \cdot F}\right) \]

      4. metadata-eval N/A

         \[\leadsto -1 \cdot \left(\frac{2}{B} \cdot \sqrt{C \cdot F}\right) \]

      5. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{2}{B} \cdot \sqrt{C \cdot F}\right) \]

      6. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{2}{B} \cdot \sqrt{C \cdot F}\right) \]

      7. lift-*.f64 14.4

         \[\leadsto -1 \cdot \left(\frac{2}{B} \cdot \sqrt{C \cdot F}\right) \]

   7. Applied rewrites 14.4%

      \[\leadsto -1 \cdot \left(\frac{2}{B} \cdot \color{blue}{\sqrt{C \cdot F}}\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 9: 34.9% accurate, 8.8× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;F \leq 0.8:\\ \;\;\;\;-1 \cdot \left(\frac{\sqrt{2}}{B\_m} \cdot \sqrt{F \cdot \left(C + B\_m\right)}\right)\\ \mathbf{else}:\\ \;\;\;\;-1 \cdot \sqrt{\frac{F}{B\_m} \cdot 2}\\ \end{array} \end{array} \]

FPCore

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 (<= F 0.8)
   (* -1.0 (* (/ (sqrt 2.0) B_m) (sqrt (* F (+ C B_m)))))
   (* -1.0 (sqrt (* (/ F B_m) 2.0)))))

C

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 (F <= 0.8) {
		tmp = -1.0 * ((sqrt(2.0) / B_m) * sqrt((F * (C + B_m))));
	} else {
		tmp = -1.0 * sqrt(((F / B_m) * 2.0));
	}
	return tmp;
}

Fortran

B_m =     private
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(a, b_m, c, f)
use fmin_fmax_functions
    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 (f <= 0.8d0) then
        tmp = (-1.0d0) * ((sqrt(2.0d0) / b_m) * sqrt((f * (c + b_m))))
    else
        tmp = (-1.0d0) * sqrt(((f / b_m) * 2.0d0))
    end if
    code = tmp
end function

Java

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 (F <= 0.8) {
		tmp = -1.0 * ((Math.sqrt(2.0) / B_m) * Math.sqrt((F * (C + B_m))));
	} else {
		tmp = -1.0 * Math.sqrt(((F / B_m) * 2.0));
	}
	return tmp;
}

Python

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 F <= 0.8:
		tmp = -1.0 * ((math.sqrt(2.0) / B_m) * math.sqrt((F * (C + B_m))))
	else:
		tmp = -1.0 * math.sqrt(((F / B_m) * 2.0))
	return tmp

Julia

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 (F <= 0.8)
		tmp = Float64(-1.0 * Float64(Float64(sqrt(2.0) / B_m) * sqrt(Float64(F * Float64(C + B_m)))));
	else
		tmp = Float64(-1.0 * sqrt(Float64(Float64(F / B_m) * 2.0)));
	end
	return tmp
end

MATLAB

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 (F <= 0.8)
		tmp = -1.0 * ((sqrt(2.0) / B_m) * sqrt((F * (C + B_m))));
	else
		tmp = -1.0 * sqrt(((F / B_m) * 2.0));
	end
	tmp_2 = tmp;
end

Wolfram

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[F, 0.8], N[(-1.0 * N[(N[(N[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision] * N[Sqrt[N[(F * N[(C + B$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(-1.0 * N[Sqrt[N[(N[(F / B$95$m), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if F < 0.80000000000000004

   1. Initial program 22.5%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 37.6

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 37.6%

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

   5. Taylor expanded in B around inf

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + B\right)}\right) \]
   6. Step-by-step derivation

   7. Applied rewrites 31.6%

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + B\right)}\right) \]

   if 0.80000000000000004 < F

   1. Initial program 15.2%

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

   2. Taylor expanded in B around inf

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

      1. lower-*.f64 N/A

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

      2. sqrt-unprod N/A

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

      3. lower-sqrt.f64 N/A

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

      4. lower-*.f64 N/A

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

      5. lower-/.f64 39.4

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

   4. Applied rewrites 39.4%

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

Alternative 10: 34.6% accurate, 9.3× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;F \leq 3.5 \cdot 10^{-47}:\\ \;\;\;\;-1 \cdot \left(\frac{\sqrt{2}}{B\_m} \cdot \sqrt{F \cdot B\_m}\right)\\ \mathbf{else}:\\ \;\;\;\;-1 \cdot \sqrt{\frac{F}{B\_m} \cdot 2}\\ \end{array} \end{array} \]

FPCore

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 (<= F 3.5e-47)
   (* -1.0 (* (/ (sqrt 2.0) B_m) (sqrt (* F B_m))))
   (* -1.0 (sqrt (* (/ F B_m) 2.0)))))

C

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 (F <= 3.5e-47) {
		tmp = -1.0 * ((sqrt(2.0) / B_m) * sqrt((F * B_m)));
	} else {
		tmp = -1.0 * sqrt(((F / B_m) * 2.0));
	}
	return tmp;
}

Fortran

B_m =     private
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(a, b_m, c, f)
use fmin_fmax_functions
    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 (f <= 3.5d-47) then
        tmp = (-1.0d0) * ((sqrt(2.0d0) / b_m) * sqrt((f * b_m)))
    else
        tmp = (-1.0d0) * sqrt(((f / b_m) * 2.0d0))
    end if
    code = tmp
end function

Java

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 (F <= 3.5e-47) {
		tmp = -1.0 * ((Math.sqrt(2.0) / B_m) * Math.sqrt((F * B_m)));
	} else {
		tmp = -1.0 * Math.sqrt(((F / B_m) * 2.0));
	}
	return tmp;
}

Python

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 F <= 3.5e-47:
		tmp = -1.0 * ((math.sqrt(2.0) / B_m) * math.sqrt((F * B_m)))
	else:
		tmp = -1.0 * math.sqrt(((F / B_m) * 2.0))
	return tmp

Julia

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 (F <= 3.5e-47)
		tmp = Float64(-1.0 * Float64(Float64(sqrt(2.0) / B_m) * sqrt(Float64(F * B_m))));
	else
		tmp = Float64(-1.0 * sqrt(Float64(Float64(F / B_m) * 2.0)));
	end
	return tmp
end

MATLAB

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 (F <= 3.5e-47)
		tmp = -1.0 * ((sqrt(2.0) / B_m) * sqrt((F * B_m)));
	else
		tmp = -1.0 * sqrt(((F / B_m) * 2.0));
	end
	tmp_2 = tmp;
end

Wolfram

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[F, 3.5e-47], N[(-1.0 * N[(N[(N[Sqrt[2.0], $MachinePrecision] / B$95$m), $MachinePrecision] * N[Sqrt[N[(F * B$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(-1.0 * N[Sqrt[N[(N[(F / B$95$m), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if F < 3.4999999999999998e-47

   1. Initial program 22.8%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 35.7

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 35.7%

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

   5. Taylor expanded in B around inf

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot B}\right) \]
   6. Step-by-step derivation

   7. Applied rewrites 29.5%

      \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot B}\right) \]

   if 3.4999999999999998e-47 < F

   1. Initial program 15.9%

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

   2. Taylor expanded in B around inf

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

      1. lower-*.f64 N/A

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

      2. sqrt-unprod N/A

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

      3. lower-sqrt.f64 N/A

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

      4. lower-*.f64 N/A

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

      5. lower-/.f64 39.7

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

   4. Applied rewrites 39.7%

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

Alternative 11: 27.4% accurate, 11.4× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \begin{array}{l} \mathbf{if}\;C \leq 1.7 \cdot 10^{+102}:\\ \;\;\;\;-1 \cdot \sqrt{\frac{F}{B\_m} \cdot 2}\\ \mathbf{else}:\\ \;\;\;\;-1 \cdot \left(\frac{2}{B\_m} \cdot \sqrt{C \cdot F}\right)\\ \end{array} \end{array} \]

FPCore

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 1.7e+102)
   (* -1.0 (sqrt (* (/ F B_m) 2.0)))
   (* -1.0 (* (/ 2.0 B_m) (sqrt (* C F))))))

C

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 <= 1.7e+102) {
		tmp = -1.0 * sqrt(((F / B_m) * 2.0));
	} else {
		tmp = -1.0 * ((2.0 / B_m) * sqrt((C * F)));
	}
	return tmp;
}

Fortran

B_m =     private
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(a, b_m, c, f)
use fmin_fmax_functions
    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 <= 1.7d+102) then
        tmp = (-1.0d0) * sqrt(((f / b_m) * 2.0d0))
    else
        tmp = (-1.0d0) * ((2.0d0 / b_m) * sqrt((c * f)))
    end if
    code = tmp
end function

Java

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 <= 1.7e+102) {
		tmp = -1.0 * Math.sqrt(((F / B_m) * 2.0));
	} else {
		tmp = -1.0 * ((2.0 / B_m) * Math.sqrt((C * F)));
	}
	return tmp;
}

Python

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 <= 1.7e+102:
		tmp = -1.0 * math.sqrt(((F / B_m) * 2.0))
	else:
		tmp = -1.0 * ((2.0 / B_m) * math.sqrt((C * F)))
	return tmp

Julia

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 <= 1.7e+102)
		tmp = Float64(-1.0 * sqrt(Float64(Float64(F / B_m) * 2.0)));
	else
		tmp = Float64(-1.0 * Float64(Float64(2.0 / B_m) * sqrt(Float64(C * F))));
	end
	return tmp
end

MATLAB

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 <= 1.7e+102)
		tmp = -1.0 * sqrt(((F / B_m) * 2.0));
	else
		tmp = -1.0 * ((2.0 / B_m) * sqrt((C * F)));
	end
	tmp_2 = tmp;
end

Wolfram

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, 1.7e+102], N[(-1.0 * N[Sqrt[N[(N[(F / B$95$m), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(-1.0 * N[(N[(2.0 / B$95$m), $MachinePrecision] * N[Sqrt[N[(C * F), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if C < 1.7e102

   1. Initial program 23.4%

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

   2. Taylor expanded in B around inf

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

      1. lower-*.f64 N/A

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

      2. sqrt-unprod N/A

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

      3. lower-sqrt.f64 N/A

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

      4. lower-*.f64 N/A

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

      5. lower-/.f64 33.5

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

   4. Applied rewrites 33.5%

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

   if 1.7e102 < C

   1. Initial program 10.7%

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

   2. Taylor expanded in A around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{\left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right)} \]

      2. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \color{blue}{\sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      3. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}}\right) \]

      4. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{\color{blue}{F} \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      5. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      6. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      7. lower-+.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{{B}^{2} + {C}^{2}}\right)}\right) \]

      8. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + {C}^{2}}\right)}\right) \]

      9. unpow2 N/A

         \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \sqrt{B \cdot B + C \cdot C}\right)}\right) \]

      10. lower-hypot.f64 22.5

          \[\leadsto -1 \cdot \left(\frac{\sqrt{2}}{B} \cdot \sqrt{F \cdot \left(C + \mathsf{hypot}\left(B, C\right)\right)}\right) \]

   4. Applied rewrites 22.5%

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

   5. Taylor expanded in B around 0

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

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{{\left(\sqrt{2}\right)}^{2}}{B} \cdot \sqrt{C \cdot F}\right) \]

      2. sqrt-pow2 N/A

         \[\leadsto -1 \cdot \left(\frac{{2}^{\left(\frac{2}{2}\right)}}{B} \cdot \sqrt{C \cdot F}\right) \]

      3. metadata-eval N/A

         \[\leadsto -1 \cdot \left(\frac{{2}^{1}}{B} \cdot \sqrt{C \cdot F}\right) \]

      4. metadata-eval N/A

         \[\leadsto -1 \cdot \left(\frac{2}{B} \cdot \sqrt{C \cdot F}\right) \]

      5. lower-/.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{2}{B} \cdot \sqrt{C \cdot F}\right) \]

      6. lower-sqrt.f64 N/A

         \[\leadsto -1 \cdot \left(\frac{2}{B} \cdot \sqrt{C \cdot F}\right) \]

      7. lift-*.f64 14.2

         \[\leadsto -1 \cdot \left(\frac{2}{B} \cdot \sqrt{C \cdot F}\right) \]

   7. Applied rewrites 14.2%

      \[\leadsto -1 \cdot \left(\frac{2}{B} \cdot \color{blue}{\sqrt{C \cdot F}}\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 12: 27.2% accurate, 15.3× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ -1 \cdot \sqrt{\frac{F}{B\_m} \cdot 2} \end{array} \]

FPCore

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 (* -1.0 (sqrt (* (/ F B_m) 2.0))))

C

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 -1.0 * sqrt(((F / B_m) * 2.0));
}

Fortran

B_m =     private
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(a, b_m, c, f)
use fmin_fmax_functions
    real(8), intent (in) :: a
    real(8), intent (in) :: b_m
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    code = (-1.0d0) * sqrt(((f / b_m) * 2.0d0))
end function

Java

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 -1.0 * Math.sqrt(((F / B_m) * 2.0));
}

Python

B_m = math.fabs(B)
[A, B_m, C, F] = sort([A, B_m, C, F])
def code(A, B_m, C, F):
	return -1.0 * math.sqrt(((F / B_m) * 2.0))

Julia

B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	return Float64(-1.0 * sqrt(Float64(Float64(F / B_m) * 2.0)))
end

MATLAB

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 = -1.0 * sqrt(((F / B_m) * 2.0));
end

Wolfram

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[(-1.0 * N[Sqrt[N[(N[(F / B$95$m), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 19.4%

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

2. Taylor expanded in B around inf

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

   1. lower-*.f64 N/A

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

   2. sqrt-unprod N/A

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

   3. lower-sqrt.f64 N/A

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

   4. lower-*.f64 N/A

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

   5. lower-/.f64 27.2

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

4. Applied rewrites 27.2%

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

Alternative 13: 2.4% accurate, 18.2× speedup

Math

\[\begin{array}{l} B_m = \left|B\right| \\ [A, B_m, C, F] = \mathsf{sort}([A, B_m, C, F])\\ \\ \sqrt{\frac{F}{B\_m} \cdot 2} \end{array} \]

FPCore

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 B_m) 2.0)))

C

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 / B_m) * 2.0));
}

Fortran

B_m =     private
NOTE: A, B_m, C, and F should be sorted in increasing order before calling this function.
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(a, b_m, c, f)
use fmin_fmax_functions
    real(8), intent (in) :: a
    real(8), intent (in) :: b_m
    real(8), intent (in) :: c
    real(8), intent (in) :: f
    code = sqrt(((f / b_m) * 2.0d0))
end function

Java

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 / B_m) * 2.0));
}

Python

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 / B_m) * 2.0))

Julia

B_m = abs(B)
A, B_m, C, F = sort([A, B_m, C, F])
function code(A, B_m, C, F)
	return sqrt(Float64(Float64(F / B_m) * 2.0))
end

MATLAB

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 / B_m) * 2.0));
end

Wolfram

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[(N[(F / B$95$m), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision]

Derivation

1. Initial program 19.4%

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

2. Taylor expanded in B around inf

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

   1. lower-*.f64 N/A

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

   2. sqrt-unprod N/A

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

   3. lower-sqrt.f64 N/A

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

   4. lower-*.f64 N/A

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

   5. lower-/.f64 27.2

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

4. Applied rewrites 27.2%

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

5. Taylor expanded in F around -inf

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

   1. sqrt-unprod N/A

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

   2. metadata-eval N/A

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

   3. sqrt-prod N/A

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

   4. lift-/.f64 N/A

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

   5. lift-*.f64 N/A

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

   6. lift-sqrt.f64 2.4

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

7. Applied rewrites 2.4%

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

Reproduce

herbie shell --seed 2025093 
(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))))