Maksimov and Kolovsky, Equation (3)

Percentage Accurate: 73.3% → 99.4%
Time: 6.0s
Alternatives: 11
Speedup: 0.4×

Specification

?
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ \left(\left(-2 \cdot J\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot t\_0}\right)}^{2}} \end{array} \end{array} \]
(FPCore (J K U)
 :precision binary64
 (let* ((t_0 (cos (/ K 2.0))))
   (* (* (* -2.0 J) t_0) (sqrt (+ 1.0 (pow (/ U (* (* 2.0 J) t_0)) 2.0))))))
double code(double J, double K, double U) {
	double t_0 = cos((K / 2.0));
	return ((-2.0 * J) * t_0) * sqrt((1.0 + pow((U / ((2.0 * J) * t_0)), 2.0)));
}
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(j, k, u)
use fmin_fmax_functions
    real(8), intent (in) :: j
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: t_0
    t_0 = cos((k / 2.0d0))
    code = (((-2.0d0) * j) * t_0) * sqrt((1.0d0 + ((u / ((2.0d0 * j) * t_0)) ** 2.0d0)))
end function
public static double code(double J, double K, double U) {
	double t_0 = Math.cos((K / 2.0));
	return ((-2.0 * J) * t_0) * Math.sqrt((1.0 + Math.pow((U / ((2.0 * J) * t_0)), 2.0)));
}
def code(J, K, U):
	t_0 = math.cos((K / 2.0))
	return ((-2.0 * J) * t_0) * math.sqrt((1.0 + math.pow((U / ((2.0 * J) * t_0)), 2.0)))
function code(J, K, U)
	t_0 = cos(Float64(K / 2.0))
	return Float64(Float64(Float64(-2.0 * J) * t_0) * sqrt(Float64(1.0 + (Float64(U / Float64(Float64(2.0 * J) * t_0)) ^ 2.0))))
end
function tmp = code(J, K, U)
	t_0 = cos((K / 2.0));
	tmp = ((-2.0 * J) * t_0) * sqrt((1.0 + ((U / ((2.0 * J) * t_0)) ^ 2.0)));
end
code[J_, K_, U_] := Block[{t$95$0 = N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(N[(N[(-2.0 * J), $MachinePrecision] * t$95$0), $MachinePrecision] * N[Sqrt[N[(1.0 + N[Power[N[(U / N[(N[(2.0 * J), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \cos \left(\frac{K}{2}\right)\\
\left(\left(-2 \cdot J\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot t\_0}\right)}^{2}}
\end{array}
\end{array}

Local Percentage Accuracy vs ?

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

Accuracy vs Speed?

Herbie found 11 alternatives:

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

Initial Program: 73.3% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ \left(\left(-2 \cdot J\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot t\_0}\right)}^{2}} \end{array} \end{array} \]
(FPCore (J K U)
 :precision binary64
 (let* ((t_0 (cos (/ K 2.0))))
   (* (* (* -2.0 J) t_0) (sqrt (+ 1.0 (pow (/ U (* (* 2.0 J) t_0)) 2.0))))))
double code(double J, double K, double U) {
	double t_0 = cos((K / 2.0));
	return ((-2.0 * J) * t_0) * sqrt((1.0 + pow((U / ((2.0 * J) * t_0)), 2.0)));
}
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(j, k, u)
use fmin_fmax_functions
    real(8), intent (in) :: j
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: t_0
    t_0 = cos((k / 2.0d0))
    code = (((-2.0d0) * j) * t_0) * sqrt((1.0d0 + ((u / ((2.0d0 * j) * t_0)) ** 2.0d0)))
end function
public static double code(double J, double K, double U) {
	double t_0 = Math.cos((K / 2.0));
	return ((-2.0 * J) * t_0) * Math.sqrt((1.0 + Math.pow((U / ((2.0 * J) * t_0)), 2.0)));
}
def code(J, K, U):
	t_0 = math.cos((K / 2.0))
	return ((-2.0 * J) * t_0) * math.sqrt((1.0 + math.pow((U / ((2.0 * J) * t_0)), 2.0)))
function code(J, K, U)
	t_0 = cos(Float64(K / 2.0))
	return Float64(Float64(Float64(-2.0 * J) * t_0) * sqrt(Float64(1.0 + (Float64(U / Float64(Float64(2.0 * J) * t_0)) ^ 2.0))))
end
function tmp = code(J, K, U)
	t_0 = cos((K / 2.0));
	tmp = ((-2.0 * J) * t_0) * sqrt((1.0 + ((U / ((2.0 * J) * t_0)) ^ 2.0)));
end
code[J_, K_, U_] := Block[{t$95$0 = N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(N[(N[(-2.0 * J), $MachinePrecision] * t$95$0), $MachinePrecision] * N[Sqrt[N[(1.0 + N[Power[N[(U / N[(N[(2.0 * J), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \cos \left(\frac{K}{2}\right)\\
\left(\left(-2 \cdot J\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot t\_0}\right)}^{2}}
\end{array}
\end{array}

Alternative 1: 99.4% accurate, 0.3× speedup?

\[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ t_1 := \cos \left(-0.5 \cdot K\right)\\ t_2 := \left(-1 \cdot \frac{t\_1}{\left|t\_1\right|}\right) \cdot U\_m\\ t_3 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\ t_4 := \cos \left(K \cdot 0.5\right)\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;t\_3 \leq -\infty:\\ \;\;\;\;t\_2\\ \mathbf{elif}\;t\_3 \leq 2 \cdot 10^{+300}:\\ \;\;\;\;\left(\left(-2 \cdot J\_m\right) \cdot t\_4\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_4}\right)}^{2}}\\ \mathbf{else}:\\ \;\;\;\;t\_2\\ \end{array} \end{array} \end{array} \]
U_m = (fabs.f64 U)
J\_m = (fabs.f64 J)
J\_s = (copysign.f64 #s(literal 1 binary64) J)
(FPCore (J_s J_m K U_m)
 :precision binary64
 (let* ((t_0 (cos (/ K 2.0)))
        (t_1 (cos (* -0.5 K)))
        (t_2 (* (* -1.0 (/ t_1 (fabs t_1))) U_m))
        (t_3
         (*
          (* (* -2.0 J_m) t_0)
          (sqrt (+ 1.0 (pow (/ U_m (* (* 2.0 J_m) t_0)) 2.0)))))
        (t_4 (cos (* K 0.5))))
   (*
    J_s
    (if (<= t_3 (- INFINITY))
      t_2
      (if (<= t_3 2e+300)
        (*
         (* (* -2.0 J_m) t_4)
         (sqrt (+ 1.0 (pow (/ U_m (* (* 2.0 J_m) t_4)) 2.0))))
        t_2)))))
U_m = fabs(U);
J\_m = fabs(J);
J\_s = copysign(1.0, J);
double code(double J_s, double J_m, double K, double U_m) {
	double t_0 = cos((K / 2.0));
	double t_1 = cos((-0.5 * K));
	double t_2 = (-1.0 * (t_1 / fabs(t_1))) * U_m;
	double t_3 = ((-2.0 * J_m) * t_0) * sqrt((1.0 + pow((U_m / ((2.0 * J_m) * t_0)), 2.0)));
	double t_4 = cos((K * 0.5));
	double tmp;
	if (t_3 <= -((double) INFINITY)) {
		tmp = t_2;
	} else if (t_3 <= 2e+300) {
		tmp = ((-2.0 * J_m) * t_4) * sqrt((1.0 + pow((U_m / ((2.0 * J_m) * t_4)), 2.0)));
	} else {
		tmp = t_2;
	}
	return J_s * tmp;
}
U_m = Math.abs(U);
J\_m = Math.abs(J);
J\_s = Math.copySign(1.0, J);
public static double code(double J_s, double J_m, double K, double U_m) {
	double t_0 = Math.cos((K / 2.0));
	double t_1 = Math.cos((-0.5 * K));
	double t_2 = (-1.0 * (t_1 / Math.abs(t_1))) * U_m;
	double t_3 = ((-2.0 * J_m) * t_0) * Math.sqrt((1.0 + Math.pow((U_m / ((2.0 * J_m) * t_0)), 2.0)));
	double t_4 = Math.cos((K * 0.5));
	double tmp;
	if (t_3 <= -Double.POSITIVE_INFINITY) {
		tmp = t_2;
	} else if (t_3 <= 2e+300) {
		tmp = ((-2.0 * J_m) * t_4) * Math.sqrt((1.0 + Math.pow((U_m / ((2.0 * J_m) * t_4)), 2.0)));
	} else {
		tmp = t_2;
	}
	return J_s * tmp;
}
U_m = math.fabs(U)
J\_m = math.fabs(J)
J\_s = math.copysign(1.0, J)
def code(J_s, J_m, K, U_m):
	t_0 = math.cos((K / 2.0))
	t_1 = math.cos((-0.5 * K))
	t_2 = (-1.0 * (t_1 / math.fabs(t_1))) * U_m
	t_3 = ((-2.0 * J_m) * t_0) * math.sqrt((1.0 + math.pow((U_m / ((2.0 * J_m) * t_0)), 2.0)))
	t_4 = math.cos((K * 0.5))
	tmp = 0
	if t_3 <= -math.inf:
		tmp = t_2
	elif t_3 <= 2e+300:
		tmp = ((-2.0 * J_m) * t_4) * math.sqrt((1.0 + math.pow((U_m / ((2.0 * J_m) * t_4)), 2.0)))
	else:
		tmp = t_2
	return J_s * tmp
U_m = abs(U)
J\_m = abs(J)
J\_s = copysign(1.0, J)
function code(J_s, J_m, K, U_m)
	t_0 = cos(Float64(K / 2.0))
	t_1 = cos(Float64(-0.5 * K))
	t_2 = Float64(Float64(-1.0 * Float64(t_1 / abs(t_1))) * U_m)
	t_3 = Float64(Float64(Float64(-2.0 * J_m) * t_0) * sqrt(Float64(1.0 + (Float64(U_m / Float64(Float64(2.0 * J_m) * t_0)) ^ 2.0))))
	t_4 = cos(Float64(K * 0.5))
	tmp = 0.0
	if (t_3 <= Float64(-Inf))
		tmp = t_2;
	elseif (t_3 <= 2e+300)
		tmp = Float64(Float64(Float64(-2.0 * J_m) * t_4) * sqrt(Float64(1.0 + (Float64(U_m / Float64(Float64(2.0 * J_m) * t_4)) ^ 2.0))));
	else
		tmp = t_2;
	end
	return Float64(J_s * tmp)
end
U_m = abs(U);
J\_m = abs(J);
J\_s = sign(J) * abs(1.0);
function tmp_2 = code(J_s, J_m, K, U_m)
	t_0 = cos((K / 2.0));
	t_1 = cos((-0.5 * K));
	t_2 = (-1.0 * (t_1 / abs(t_1))) * U_m;
	t_3 = ((-2.0 * J_m) * t_0) * sqrt((1.0 + ((U_m / ((2.0 * J_m) * t_0)) ^ 2.0)));
	t_4 = cos((K * 0.5));
	tmp = 0.0;
	if (t_3 <= -Inf)
		tmp = t_2;
	elseif (t_3 <= 2e+300)
		tmp = ((-2.0 * J_m) * t_4) * sqrt((1.0 + ((U_m / ((2.0 * J_m) * t_4)) ^ 2.0)));
	else
		tmp = t_2;
	end
	tmp_2 = J_s * tmp;
end
U_m = N[Abs[U], $MachinePrecision]
J\_m = N[Abs[J], $MachinePrecision]
J\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[J]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[J$95$s_, J$95$m_, K_, U$95$m_] := Block[{t$95$0 = N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(-0.5 * K), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(-1.0 * N[(t$95$1 / N[Abs[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * U$95$m), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(-2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision] * N[Sqrt[N[(1.0 + N[Power[N[(U$95$m / N[(N[(2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(K * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(J$95$s * If[LessEqual[t$95$3, (-Infinity)], t$95$2, If[LessEqual[t$95$3, 2e+300], N[(N[(N[(-2.0 * J$95$m), $MachinePrecision] * t$95$4), $MachinePrecision] * N[Sqrt[N[(1.0 + N[Power[N[(U$95$m / N[(N[(2.0 * J$95$m), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]), $MachinePrecision]]]]]]
\begin{array}{l}
U_m = \left|U\right|
\\
J\_m = \left|J\right|
\\
J\_s = \mathsf{copysign}\left(1, J\right)

\\
\begin{array}{l}
t_0 := \cos \left(\frac{K}{2}\right)\\
t_1 := \cos \left(-0.5 \cdot K\right)\\
t_2 := \left(-1 \cdot \frac{t\_1}{\left|t\_1\right|}\right) \cdot U\_m\\
t_3 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\
t_4 := \cos \left(K \cdot 0.5\right)\\
J\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_3 \leq -\infty:\\
\;\;\;\;t\_2\\

\mathbf{elif}\;t\_3 \leq 2 \cdot 10^{+300}:\\
\;\;\;\;\left(\left(-2 \cdot J\_m\right) \cdot t\_4\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_4}\right)}^{2}}\\

\mathbf{else}:\\
\;\;\;\;t\_2\\


\end{array}
\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64))))) < -inf.0 or 2.0000000000000001e300 < (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64)))))

    1. Initial program 73.3%

      \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
    2. Taylor expanded in U around -inf

      \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right)} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto 2 \cdot \color{blue}{\left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right)} \]
      2. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \color{blue}{\left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)}\right) \]
      3. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \color{blue}{\left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)}\right)\right) \]
      4. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \color{blue}{\sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}}\right)\right)\right) \]
      5. lower-cos.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\color{blue}{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}}\right)\right)\right) \]
      6. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\color{blue}{\frac{1}{4}}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      7. lower-sqrt.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      8. lower-/.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      9. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      10. lower-pow.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
    4. Applied rewrites1.4%

      \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(0.5 \cdot K\right) \cdot \sqrt{\frac{0.25}{{J}^{2} \cdot {\cos \left(0.5 \cdot K\right)}^{2}}}\right)\right)\right)} \]
    5. Applied rewrites1.4%

      \[\leadsto \left(\left(J + J\right) \cdot \left(\frac{\sqrt{\frac{0.25}{J \cdot J}}}{\left|\cos \left(-0.5 \cdot K\right)\right|} \cdot \cos \left(-0.5 \cdot K\right)\right)\right) \cdot \color{blue}{U} \]
    6. Taylor expanded in J around -inf

      \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
    7. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      2. lower-/.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      3. lower-cos.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      4. lower-*.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      5. lower-fabs.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      6. lower-cos.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      7. lower-*.f6452.0

        \[\leadsto \left(-1 \cdot \frac{\cos \left(-0.5 \cdot K\right)}{\left|\cos \left(-0.5 \cdot K\right)\right|}\right) \cdot U \]
    8. Applied rewrites52.0%

      \[\leadsto \left(-1 \cdot \frac{\cos \left(-0.5 \cdot K\right)}{\left|\cos \left(-0.5 \cdot K\right)\right|}\right) \cdot U \]

    if -inf.0 < (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64))))) < 2.0000000000000001e300

    1. Initial program 73.3%

      \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
    2. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \color{blue}{\left(\frac{K}{2}\right)}\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
      2. mult-flipN/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \color{blue}{\left(K \cdot \frac{1}{2}\right)}\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
      3. metadata-evalN/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(K \cdot \color{blue}{\frac{1}{2}}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
      4. lower-*.f6473.3

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \color{blue}{\left(K \cdot 0.5\right)}\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
    3. Applied rewrites73.3%

      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \color{blue}{\left(K \cdot 0.5\right)}\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
    4. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(K \cdot \frac{1}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \color{blue}{\left(\frac{K}{2}\right)}}\right)}^{2}} \]
      2. mult-flipN/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(K \cdot \frac{1}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \color{blue}{\left(K \cdot \frac{1}{2}\right)}}\right)}^{2}} \]
      3. metadata-evalN/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(K \cdot \frac{1}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(K \cdot \color{blue}{\frac{1}{2}}\right)}\right)}^{2}} \]
      4. lower-*.f6473.3

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(K \cdot 0.5\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \color{blue}{\left(K \cdot 0.5\right)}}\right)}^{2}} \]
    5. Applied rewrites73.3%

      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(K \cdot 0.5\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \color{blue}{\left(K \cdot 0.5\right)}}\right)}^{2}} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 2: 99.3% accurate, 0.3× speedup?

\[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ t_1 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\ t_2 := \cos \left(-0.5 \cdot K\right)\\ t_3 := \left(-1 \cdot \frac{t\_2}{\left|t\_2\right|}\right) \cdot U\_m\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;t\_1 \leq -\infty:\\ \;\;\;\;t\_3\\ \mathbf{elif}\;t\_1 \leq 2 \cdot 10^{+300}:\\ \;\;\;\;\left(\left(t\_2 \cdot -2\right) \cdot J\_m\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U\_m}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right) \cdot J\_m}, \frac{U\_m}{J\_m} \cdot 0.25, 1\right)}\\ \mathbf{else}:\\ \;\;\;\;t\_3\\ \end{array} \end{array} \end{array} \]
U_m = (fabs.f64 U)
J\_m = (fabs.f64 J)
J\_s = (copysign.f64 #s(literal 1 binary64) J)
(FPCore (J_s J_m K U_m)
 :precision binary64
 (let* ((t_0 (cos (/ K 2.0)))
        (t_1
         (*
          (* (* -2.0 J_m) t_0)
          (sqrt (+ 1.0 (pow (/ U_m (* (* 2.0 J_m) t_0)) 2.0)))))
        (t_2 (cos (* -0.5 K)))
        (t_3 (* (* -1.0 (/ t_2 (fabs t_2))) U_m)))
   (*
    J_s
    (if (<= t_1 (- INFINITY))
      t_3
      (if (<= t_1 2e+300)
        (*
         (* (* t_2 -2.0) J_m)
         (sqrt
          (fma
           (/ U_m (* (fma (cos K) 0.5 0.5) J_m))
           (* (/ U_m J_m) 0.25)
           1.0)))
        t_3)))))
U_m = fabs(U);
J\_m = fabs(J);
J\_s = copysign(1.0, J);
double code(double J_s, double J_m, double K, double U_m) {
	double t_0 = cos((K / 2.0));
	double t_1 = ((-2.0 * J_m) * t_0) * sqrt((1.0 + pow((U_m / ((2.0 * J_m) * t_0)), 2.0)));
	double t_2 = cos((-0.5 * K));
	double t_3 = (-1.0 * (t_2 / fabs(t_2))) * U_m;
	double tmp;
	if (t_1 <= -((double) INFINITY)) {
		tmp = t_3;
	} else if (t_1 <= 2e+300) {
		tmp = ((t_2 * -2.0) * J_m) * sqrt(fma((U_m / (fma(cos(K), 0.5, 0.5) * J_m)), ((U_m / J_m) * 0.25), 1.0));
	} else {
		tmp = t_3;
	}
	return J_s * tmp;
}
U_m = abs(U)
J\_m = abs(J)
J\_s = copysign(1.0, J)
function code(J_s, J_m, K, U_m)
	t_0 = cos(Float64(K / 2.0))
	t_1 = Float64(Float64(Float64(-2.0 * J_m) * t_0) * sqrt(Float64(1.0 + (Float64(U_m / Float64(Float64(2.0 * J_m) * t_0)) ^ 2.0))))
	t_2 = cos(Float64(-0.5 * K))
	t_3 = Float64(Float64(-1.0 * Float64(t_2 / abs(t_2))) * U_m)
	tmp = 0.0
	if (t_1 <= Float64(-Inf))
		tmp = t_3;
	elseif (t_1 <= 2e+300)
		tmp = Float64(Float64(Float64(t_2 * -2.0) * J_m) * sqrt(fma(Float64(U_m / Float64(fma(cos(K), 0.5, 0.5) * J_m)), Float64(Float64(U_m / J_m) * 0.25), 1.0)));
	else
		tmp = t_3;
	end
	return Float64(J_s * tmp)
end
U_m = N[Abs[U], $MachinePrecision]
J\_m = N[Abs[J], $MachinePrecision]
J\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[J]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[J$95$s_, J$95$m_, K_, U$95$m_] := Block[{t$95$0 = N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(-2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision] * N[Sqrt[N[(1.0 + N[Power[N[(U$95$m / N[(N[(2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(-0.5 * K), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(-1.0 * N[(t$95$2 / N[Abs[t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * U$95$m), $MachinePrecision]}, N[(J$95$s * If[LessEqual[t$95$1, (-Infinity)], t$95$3, If[LessEqual[t$95$1, 2e+300], N[(N[(N[(t$95$2 * -2.0), $MachinePrecision] * J$95$m), $MachinePrecision] * N[Sqrt[N[(N[(U$95$m / N[(N[(N[Cos[K], $MachinePrecision] * 0.5 + 0.5), $MachinePrecision] * J$95$m), $MachinePrecision]), $MachinePrecision] * N[(N[(U$95$m / J$95$m), $MachinePrecision] * 0.25), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]), $MachinePrecision]]]]]
\begin{array}{l}
U_m = \left|U\right|
\\
J\_m = \left|J\right|
\\
J\_s = \mathsf{copysign}\left(1, J\right)

\\
\begin{array}{l}
t_0 := \cos \left(\frac{K}{2}\right)\\
t_1 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\
t_2 := \cos \left(-0.5 \cdot K\right)\\
t_3 := \left(-1 \cdot \frac{t\_2}{\left|t\_2\right|}\right) \cdot U\_m\\
J\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_1 \leq -\infty:\\
\;\;\;\;t\_3\\

\mathbf{elif}\;t\_1 \leq 2 \cdot 10^{+300}:\\
\;\;\;\;\left(\left(t\_2 \cdot -2\right) \cdot J\_m\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U\_m}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right) \cdot J\_m}, \frac{U\_m}{J\_m} \cdot 0.25, 1\right)}\\

\mathbf{else}:\\
\;\;\;\;t\_3\\


\end{array}
\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64))))) < -inf.0 or 2.0000000000000001e300 < (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64)))))

    1. Initial program 73.3%

      \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
    2. Taylor expanded in U around -inf

      \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right)} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto 2 \cdot \color{blue}{\left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right)} \]
      2. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \color{blue}{\left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)}\right) \]
      3. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \color{blue}{\left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)}\right)\right) \]
      4. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \color{blue}{\sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}}\right)\right)\right) \]
      5. lower-cos.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\color{blue}{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}}\right)\right)\right) \]
      6. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\color{blue}{\frac{1}{4}}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      7. lower-sqrt.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      8. lower-/.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      9. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      10. lower-pow.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
    4. Applied rewrites1.4%

      \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(0.5 \cdot K\right) \cdot \sqrt{\frac{0.25}{{J}^{2} \cdot {\cos \left(0.5 \cdot K\right)}^{2}}}\right)\right)\right)} \]
    5. Applied rewrites1.4%

      \[\leadsto \left(\left(J + J\right) \cdot \left(\frac{\sqrt{\frac{0.25}{J \cdot J}}}{\left|\cos \left(-0.5 \cdot K\right)\right|} \cdot \cos \left(-0.5 \cdot K\right)\right)\right) \cdot \color{blue}{U} \]
    6. Taylor expanded in J around -inf

      \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
    7. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      2. lower-/.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      3. lower-cos.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      4. lower-*.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      5. lower-fabs.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      6. lower-cos.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      7. lower-*.f6452.0

        \[\leadsto \left(-1 \cdot \frac{\cos \left(-0.5 \cdot K\right)}{\left|\cos \left(-0.5 \cdot K\right)\right|}\right) \cdot U \]
    8. Applied rewrites52.0%

      \[\leadsto \left(-1 \cdot \frac{\cos \left(-0.5 \cdot K\right)}{\left|\cos \left(-0.5 \cdot K\right)\right|}\right) \cdot U \]

    if -inf.0 < (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64))))) < 2.0000000000000001e300

    1. Initial program 73.3%

      \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
    2. Step-by-step derivation
      1. lift-+.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}} \]
      2. +-commutativeN/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2} + 1}} \]
      3. lift-pow.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} + 1} \]
      4. unpow2N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
      5. lift-/.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
      6. lift-*.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{U}{\color{blue}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
      7. associate-/r*N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
      8. lift-/.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)} \cdot \color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
      9. frac-timesN/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J} \cdot U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
      10. associate-/l*N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{2 \cdot J} \cdot \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
      11. lower-fma.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{2 \cdot J}, \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}, 1\right)}} \]
    3. Applied rewrites73.1%

      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J + J}, \frac{U}{\left(0.5 + 0.5 \cdot \cos K\right) \cdot \left(J + J\right)}, 1\right)}} \]
    4. Applied rewrites73.1%

      \[\leadsto \color{blue}{\left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right)}}{J} \cdot \frac{U}{J}}{4} - -1}} \]
    5. Step-by-step derivation
      1. lift--.f64N/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{U}{J}}{4} - -1}} \]
      2. sub-flipN/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{U}{J}}{4} + \left(\mathsf{neg}\left(-1\right)\right)}} \]
      3. lift-/.f64N/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{U}{J}}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
      4. lift-*.f64N/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\color{blue}{\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{U}{J}}}{4} + \left(\mathsf{neg}\left(-1\right)\right)} \]
      5. associate-/l*N/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{\frac{U}{J}}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
      6. metadata-evalN/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{\frac{U}{J}}{4} + \color{blue}{1}} \]
      7. lower-fma.f64N/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J}, \frac{\frac{U}{J}}{4}, 1\right)}} \]
      8. lift-/.f64N/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\color{blue}{\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J}}, \frac{\frac{U}{J}}{4}, 1\right)} \]
      9. lift-/.f64N/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{\color{blue}{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}}{J}, \frac{\frac{U}{J}}{4}, 1\right)} \]
      10. associate-/l/N/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\color{blue}{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right) \cdot J}}, \frac{\frac{U}{J}}{4}, 1\right)} \]
      11. lower-/.f64N/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\color{blue}{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right) \cdot J}}, \frac{\frac{U}{J}}{4}, 1\right)} \]
      12. lower-*.f64N/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{\color{blue}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right) \cdot J}}, \frac{\frac{U}{J}}{4}, 1\right)} \]
      13. mult-flipN/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right) \cdot J}, \color{blue}{\frac{U}{J} \cdot \frac{1}{4}}, 1\right)} \]
      14. metadata-evalN/A

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right) \cdot J}, \frac{U}{J} \cdot \color{blue}{\frac{1}{4}}, 1\right)} \]
      15. lower-*.f6473.1

        \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right) \cdot J}, \color{blue}{\frac{U}{J} \cdot 0.25}, 1\right)} \]
    6. Applied rewrites73.1%

      \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right) \cdot J}, \frac{U}{J} \cdot 0.25, 1\right)}} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 3: 90.5% accurate, 0.3× speedup?

\[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ t_1 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\ t_2 := \cos \left(-0.5 \cdot K\right)\\ t_3 := \left(t\_2 \cdot -2\right) \cdot J\_m\\ t_4 := \left(-1 \cdot \frac{t\_2}{\left|t\_2\right|}\right) \cdot U\_m\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;t\_1 \leq -\infty:\\ \;\;\;\;t\_4\\ \mathbf{elif}\;t\_1 \leq 5 \cdot 10^{-86}:\\ \;\;\;\;t\_3 \cdot \sqrt{\mathsf{fma}\left(\frac{U\_m}{J\_m}, 0.25 \cdot \frac{U\_m}{J\_m}, 1\right)}\\ \mathbf{elif}\;t\_1 \leq 2 \cdot 10^{+265}:\\ \;\;\;\;t\_3 \cdot \sqrt{\mathsf{fma}\left(\frac{U\_m \cdot U\_m}{J\_m \cdot \left(\mathsf{fma}\left(\cos K, 0.5, 0.5\right) \cdot J\_m\right)}, 0.25, 1\right)}\\ \mathbf{else}:\\ \;\;\;\;t\_4\\ \end{array} \end{array} \end{array} \]
U_m = (fabs.f64 U)
J\_m = (fabs.f64 J)
J\_s = (copysign.f64 #s(literal 1 binary64) J)
(FPCore (J_s J_m K U_m)
 :precision binary64
 (let* ((t_0 (cos (/ K 2.0)))
        (t_1
         (*
          (* (* -2.0 J_m) t_0)
          (sqrt (+ 1.0 (pow (/ U_m (* (* 2.0 J_m) t_0)) 2.0)))))
        (t_2 (cos (* -0.5 K)))
        (t_3 (* (* t_2 -2.0) J_m))
        (t_4 (* (* -1.0 (/ t_2 (fabs t_2))) U_m)))
   (*
    J_s
    (if (<= t_1 (- INFINITY))
      t_4
      (if (<= t_1 5e-86)
        (* t_3 (sqrt (fma (/ U_m J_m) (* 0.25 (/ U_m J_m)) 1.0)))
        (if (<= t_1 2e+265)
          (*
           t_3
           (sqrt
            (fma
             (/ (* U_m U_m) (* J_m (* (fma (cos K) 0.5 0.5) J_m)))
             0.25
             1.0)))
          t_4))))))
U_m = fabs(U);
J\_m = fabs(J);
J\_s = copysign(1.0, J);
double code(double J_s, double J_m, double K, double U_m) {
	double t_0 = cos((K / 2.0));
	double t_1 = ((-2.0 * J_m) * t_0) * sqrt((1.0 + pow((U_m / ((2.0 * J_m) * t_0)), 2.0)));
	double t_2 = cos((-0.5 * K));
	double t_3 = (t_2 * -2.0) * J_m;
	double t_4 = (-1.0 * (t_2 / fabs(t_2))) * U_m;
	double tmp;
	if (t_1 <= -((double) INFINITY)) {
		tmp = t_4;
	} else if (t_1 <= 5e-86) {
		tmp = t_3 * sqrt(fma((U_m / J_m), (0.25 * (U_m / J_m)), 1.0));
	} else if (t_1 <= 2e+265) {
		tmp = t_3 * sqrt(fma(((U_m * U_m) / (J_m * (fma(cos(K), 0.5, 0.5) * J_m))), 0.25, 1.0));
	} else {
		tmp = t_4;
	}
	return J_s * tmp;
}
U_m = abs(U)
J\_m = abs(J)
J\_s = copysign(1.0, J)
function code(J_s, J_m, K, U_m)
	t_0 = cos(Float64(K / 2.0))
	t_1 = Float64(Float64(Float64(-2.0 * J_m) * t_0) * sqrt(Float64(1.0 + (Float64(U_m / Float64(Float64(2.0 * J_m) * t_0)) ^ 2.0))))
	t_2 = cos(Float64(-0.5 * K))
	t_3 = Float64(Float64(t_2 * -2.0) * J_m)
	t_4 = Float64(Float64(-1.0 * Float64(t_2 / abs(t_2))) * U_m)
	tmp = 0.0
	if (t_1 <= Float64(-Inf))
		tmp = t_4;
	elseif (t_1 <= 5e-86)
		tmp = Float64(t_3 * sqrt(fma(Float64(U_m / J_m), Float64(0.25 * Float64(U_m / J_m)), 1.0)));
	elseif (t_1 <= 2e+265)
		tmp = Float64(t_3 * sqrt(fma(Float64(Float64(U_m * U_m) / Float64(J_m * Float64(fma(cos(K), 0.5, 0.5) * J_m))), 0.25, 1.0)));
	else
		tmp = t_4;
	end
	return Float64(J_s * tmp)
end
U_m = N[Abs[U], $MachinePrecision]
J\_m = N[Abs[J], $MachinePrecision]
J\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[J]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[J$95$s_, J$95$m_, K_, U$95$m_] := Block[{t$95$0 = N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(-2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision] * N[Sqrt[N[(1.0 + N[Power[N[(U$95$m / N[(N[(2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(-0.5 * K), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$2 * -2.0), $MachinePrecision] * J$95$m), $MachinePrecision]}, Block[{t$95$4 = N[(N[(-1.0 * N[(t$95$2 / N[Abs[t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * U$95$m), $MachinePrecision]}, N[(J$95$s * If[LessEqual[t$95$1, (-Infinity)], t$95$4, If[LessEqual[t$95$1, 5e-86], N[(t$95$3 * N[Sqrt[N[(N[(U$95$m / J$95$m), $MachinePrecision] * N[(0.25 * N[(U$95$m / J$95$m), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, 2e+265], N[(t$95$3 * N[Sqrt[N[(N[(N[(U$95$m * U$95$m), $MachinePrecision] / N[(J$95$m * N[(N[(N[Cos[K], $MachinePrecision] * 0.5 + 0.5), $MachinePrecision] * J$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.25 + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$4]]]), $MachinePrecision]]]]]]
\begin{array}{l}
U_m = \left|U\right|
\\
J\_m = \left|J\right|
\\
J\_s = \mathsf{copysign}\left(1, J\right)

\\
\begin{array}{l}
t_0 := \cos \left(\frac{K}{2}\right)\\
t_1 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\
t_2 := \cos \left(-0.5 \cdot K\right)\\
t_3 := \left(t\_2 \cdot -2\right) \cdot J\_m\\
t_4 := \left(-1 \cdot \frac{t\_2}{\left|t\_2\right|}\right) \cdot U\_m\\
J\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_1 \leq -\infty:\\
\;\;\;\;t\_4\\

\mathbf{elif}\;t\_1 \leq 5 \cdot 10^{-86}:\\
\;\;\;\;t\_3 \cdot \sqrt{\mathsf{fma}\left(\frac{U\_m}{J\_m}, 0.25 \cdot \frac{U\_m}{J\_m}, 1\right)}\\

\mathbf{elif}\;t\_1 \leq 2 \cdot 10^{+265}:\\
\;\;\;\;t\_3 \cdot \sqrt{\mathsf{fma}\left(\frac{U\_m \cdot U\_m}{J\_m \cdot \left(\mathsf{fma}\left(\cos K, 0.5, 0.5\right) \cdot J\_m\right)}, 0.25, 1\right)}\\

\mathbf{else}:\\
\;\;\;\;t\_4\\


\end{array}
\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64))))) < -inf.0 or 2.00000000000000013e265 < (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64)))))

    1. Initial program 73.3%

      \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
    2. Taylor expanded in U around -inf

      \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right)} \]
    3. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto 2 \cdot \color{blue}{\left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right)} \]
      2. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \color{blue}{\left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)}\right) \]
      3. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \color{blue}{\left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)}\right)\right) \]
      4. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \color{blue}{\sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}}\right)\right)\right) \]
      5. lower-cos.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\color{blue}{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}}\right)\right)\right) \]
      6. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\color{blue}{\frac{1}{4}}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      7. lower-sqrt.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      8. lower-/.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      9. lower-*.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      10. lower-pow.f64N/A

        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
    4. Applied rewrites1.4%

      \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(0.5 \cdot K\right) \cdot \sqrt{\frac{0.25}{{J}^{2} \cdot {\cos \left(0.5 \cdot K\right)}^{2}}}\right)\right)\right)} \]
    5. Applied rewrites1.4%

      \[\leadsto \left(\left(J + J\right) \cdot \left(\frac{\sqrt{\frac{0.25}{J \cdot J}}}{\left|\cos \left(-0.5 \cdot K\right)\right|} \cdot \cos \left(-0.5 \cdot K\right)\right)\right) \cdot \color{blue}{U} \]
    6. Taylor expanded in J around -inf

      \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
    7. Step-by-step derivation
      1. lower-*.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      2. lower-/.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      3. lower-cos.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      4. lower-*.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      5. lower-fabs.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      6. lower-cos.f64N/A

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      7. lower-*.f6452.0

        \[\leadsto \left(-1 \cdot \frac{\cos \left(-0.5 \cdot K\right)}{\left|\cos \left(-0.5 \cdot K\right)\right|}\right) \cdot U \]
    8. Applied rewrites52.0%

      \[\leadsto \left(-1 \cdot \frac{\cos \left(-0.5 \cdot K\right)}{\left|\cos \left(-0.5 \cdot K\right)\right|}\right) \cdot U \]

    if -inf.0 < (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64))))) < 4.9999999999999999e-86

    1. Initial program 73.3%

      \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
    2. Step-by-step derivation
      1. lift-+.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}} \]
      2. +-commutativeN/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2} + 1}} \]
      3. lift-pow.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} + 1} \]
      4. unpow2N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
      5. lift-/.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
      6. lift-*.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{U}{\color{blue}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
      7. associate-/r*N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
      8. lift-/.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)} \cdot \color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
      9. frac-timesN/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J} \cdot U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
      10. associate-/l*N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{2 \cdot J} \cdot \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
      11. lower-fma.f64N/A

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{2 \cdot J}, \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}, 1\right)}} \]
    3. Applied rewrites73.1%

      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J + J}, \frac{U}{\left(0.5 + 0.5 \cdot \cos K\right) \cdot \left(J + J\right)}, 1\right)}} \]
    4. Applied rewrites73.1%

      \[\leadsto \color{blue}{\left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right)}}{J} \cdot \frac{U}{J}}{4} - -1}} \]
    5. Taylor expanded in K around 0

      \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\color{blue}{U}}{J} \cdot \frac{U}{J}}{4} - -1} \]
    6. Step-by-step derivation
      1. Applied rewrites64.1%

        \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\color{blue}{U}}{J} \cdot \frac{U}{J}}{4} - -1} \]
      2. Step-by-step derivation
        1. lift--.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4} - -1}} \]
        2. sub-flipN/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4} + \left(\mathsf{neg}\left(-1\right)\right)}} \]
        3. lift-/.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
        4. mult-flipN/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\left(\frac{U}{J} \cdot \frac{U}{J}\right) \cdot \frac{1}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
        5. lift-*.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\left(\frac{U}{J} \cdot \frac{U}{J}\right)} \cdot \frac{1}{4} + \left(\mathsf{neg}\left(-1\right)\right)} \]
        6. metadata-evalN/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\left(\frac{U}{J} \cdot \frac{U}{J}\right) \cdot \color{blue}{\frac{1}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
        7. associate-*l*N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{U}{J} \cdot \left(\frac{U}{J} \cdot \frac{1}{4}\right)} + \left(\mathsf{neg}\left(-1\right)\right)} \]
        8. lift-*.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{U}{J} \cdot \color{blue}{\left(\frac{U}{J} \cdot \frac{1}{4}\right)} + \left(\mathsf{neg}\left(-1\right)\right)} \]
        9. metadata-evalN/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{U}{J} \cdot \left(\frac{U}{J} \cdot \frac{1}{4}\right) + \color{blue}{1}} \]
        10. lower-fma.f6464.1

          \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J}, \frac{U}{J} \cdot 0.25, 1\right)}} \]
        11. lift-*.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{J}, \color{blue}{\frac{U}{J} \cdot \frac{1}{4}}, 1\right)} \]
        12. *-commutativeN/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{J}, \color{blue}{\frac{1}{4} \cdot \frac{U}{J}}, 1\right)} \]
        13. lower-*.f6464.1

          \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{J}, \color{blue}{0.25 \cdot \frac{U}{J}}, 1\right)} \]
      3. Applied rewrites64.1%

        \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J}, 0.25 \cdot \frac{U}{J}, 1\right)}} \]

      if 4.9999999999999999e-86 < (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64))))) < 2.00000000000000013e265

      1. Initial program 73.3%

        \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
      2. Step-by-step derivation
        1. lift-+.f64N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}} \]
        2. +-commutativeN/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2} + 1}} \]
        3. lift-pow.f64N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} + 1} \]
        4. unpow2N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
        5. lift-/.f64N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
        6. lift-*.f64N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{U}{\color{blue}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
        7. associate-/r*N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
        8. lift-/.f64N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)} \cdot \color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
        9. frac-timesN/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J} \cdot U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
        10. associate-/l*N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{2 \cdot J} \cdot \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
        11. lower-fma.f64N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{2 \cdot J}, \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}, 1\right)}} \]
      3. Applied rewrites73.1%

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J + J}, \frac{U}{\left(0.5 + 0.5 \cdot \cos K\right) \cdot \left(J + J\right)}, 1\right)}} \]
      4. Applied rewrites73.1%

        \[\leadsto \color{blue}{\left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right)}}{J} \cdot \frac{U}{J}}{4} - -1}} \]
      5. Step-by-step derivation
        1. lift--.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{U}{J}}{4} - -1}} \]
        2. sub-flipN/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{U}{J}}{4} + \left(\mathsf{neg}\left(-1\right)\right)}} \]
        3. lift-/.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{U}{J}}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
        4. mult-flipN/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\left(\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{U}{J}\right) \cdot \frac{1}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
        5. metadata-evalN/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\left(\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{U}{J}\right) \cdot \color{blue}{\frac{1}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
        6. metadata-evalN/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\left(\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{U}{J}\right) \cdot \frac{1}{4} + \color{blue}{1}} \]
        7. lower-fma.f6473.1

          \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{\frac{U}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right)}}{J} \cdot \frac{U}{J}, 0.25, 1\right)}} \]
        8. lift-*.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\color{blue}{\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J} \cdot \frac{U}{J}}, \frac{1}{4}, 1\right)} \]
        9. *-commutativeN/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\color{blue}{\frac{U}{J} \cdot \frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J}}, \frac{1}{4}, 1\right)} \]
        10. lift-/.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\color{blue}{\frac{U}{J}} \cdot \frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J}, \frac{1}{4}, 1\right)} \]
        11. lift-/.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{J} \cdot \color{blue}{\frac{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}{J}}, \frac{1}{4}, 1\right)} \]
        12. lift-/.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{J} \cdot \frac{\color{blue}{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right)}}}{J}, \frac{1}{4}, 1\right)} \]
        13. associate-/l/N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{J} \cdot \color{blue}{\frac{U}{\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right) \cdot J}}, \frac{1}{4}, 1\right)} \]
        14. frac-timesN/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\color{blue}{\frac{U \cdot U}{J \cdot \left(\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right) \cdot J\right)}}, \frac{1}{4}, 1\right)} \]
        15. lower-/.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\color{blue}{\frac{U \cdot U}{J \cdot \left(\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right) \cdot J\right)}}, \frac{1}{4}, 1\right)} \]
        16. lower-*.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{\color{blue}{U \cdot U}}{J \cdot \left(\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right) \cdot J\right)}, \frac{1}{4}, 1\right)} \]
        17. lower-*.f64N/A

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U \cdot U}{\color{blue}{J \cdot \left(\mathsf{fma}\left(\cos K, \frac{1}{2}, \frac{1}{2}\right) \cdot J\right)}}, \frac{1}{4}, 1\right)} \]
        18. lower-*.f6454.7

          \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U \cdot U}{J \cdot \color{blue}{\left(\mathsf{fma}\left(\cos K, 0.5, 0.5\right) \cdot J\right)}}, 0.25, 1\right)} \]
      6. Applied rewrites54.7%

        \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U \cdot U}{J \cdot \left(\mathsf{fma}\left(\cos K, 0.5, 0.5\right) \cdot J\right)}, 0.25, 1\right)}} \]
    7. Recombined 3 regimes into one program.
    8. Add Preprocessing

    Alternative 4: 90.3% accurate, 0.4× speedup?

    \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ t_1 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\ t_2 := \cos \left(-0.5 \cdot K\right)\\ t_3 := \left(-1 \cdot \frac{t\_2}{\left|t\_2\right|}\right) \cdot U\_m\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;t\_1 \leq -\infty:\\ \;\;\;\;t\_3\\ \mathbf{elif}\;t\_1 \leq 2 \cdot 10^{+300}:\\ \;\;\;\;\left(\left(t\_2 \cdot -2\right) \cdot J\_m\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U\_m}{J\_m}, 0.25 \cdot \frac{U\_m}{J\_m}, 1\right)}\\ \mathbf{else}:\\ \;\;\;\;t\_3\\ \end{array} \end{array} \end{array} \]
    U_m = (fabs.f64 U)
    J\_m = (fabs.f64 J)
    J\_s = (copysign.f64 #s(literal 1 binary64) J)
    (FPCore (J_s J_m K U_m)
     :precision binary64
     (let* ((t_0 (cos (/ K 2.0)))
            (t_1
             (*
              (* (* -2.0 J_m) t_0)
              (sqrt (+ 1.0 (pow (/ U_m (* (* 2.0 J_m) t_0)) 2.0)))))
            (t_2 (cos (* -0.5 K)))
            (t_3 (* (* -1.0 (/ t_2 (fabs t_2))) U_m)))
       (*
        J_s
        (if (<= t_1 (- INFINITY))
          t_3
          (if (<= t_1 2e+300)
            (*
             (* (* t_2 -2.0) J_m)
             (sqrt (fma (/ U_m J_m) (* 0.25 (/ U_m J_m)) 1.0)))
            t_3)))))
    U_m = fabs(U);
    J\_m = fabs(J);
    J\_s = copysign(1.0, J);
    double code(double J_s, double J_m, double K, double U_m) {
    	double t_0 = cos((K / 2.0));
    	double t_1 = ((-2.0 * J_m) * t_0) * sqrt((1.0 + pow((U_m / ((2.0 * J_m) * t_0)), 2.0)));
    	double t_2 = cos((-0.5 * K));
    	double t_3 = (-1.0 * (t_2 / fabs(t_2))) * U_m;
    	double tmp;
    	if (t_1 <= -((double) INFINITY)) {
    		tmp = t_3;
    	} else if (t_1 <= 2e+300) {
    		tmp = ((t_2 * -2.0) * J_m) * sqrt(fma((U_m / J_m), (0.25 * (U_m / J_m)), 1.0));
    	} else {
    		tmp = t_3;
    	}
    	return J_s * tmp;
    }
    
    U_m = abs(U)
    J\_m = abs(J)
    J\_s = copysign(1.0, J)
    function code(J_s, J_m, K, U_m)
    	t_0 = cos(Float64(K / 2.0))
    	t_1 = Float64(Float64(Float64(-2.0 * J_m) * t_0) * sqrt(Float64(1.0 + (Float64(U_m / Float64(Float64(2.0 * J_m) * t_0)) ^ 2.0))))
    	t_2 = cos(Float64(-0.5 * K))
    	t_3 = Float64(Float64(-1.0 * Float64(t_2 / abs(t_2))) * U_m)
    	tmp = 0.0
    	if (t_1 <= Float64(-Inf))
    		tmp = t_3;
    	elseif (t_1 <= 2e+300)
    		tmp = Float64(Float64(Float64(t_2 * -2.0) * J_m) * sqrt(fma(Float64(U_m / J_m), Float64(0.25 * Float64(U_m / J_m)), 1.0)));
    	else
    		tmp = t_3;
    	end
    	return Float64(J_s * tmp)
    end
    
    U_m = N[Abs[U], $MachinePrecision]
    J\_m = N[Abs[J], $MachinePrecision]
    J\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[J]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
    code[J$95$s_, J$95$m_, K_, U$95$m_] := Block[{t$95$0 = N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(-2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision] * N[Sqrt[N[(1.0 + N[Power[N[(U$95$m / N[(N[(2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(-0.5 * K), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(-1.0 * N[(t$95$2 / N[Abs[t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * U$95$m), $MachinePrecision]}, N[(J$95$s * If[LessEqual[t$95$1, (-Infinity)], t$95$3, If[LessEqual[t$95$1, 2e+300], N[(N[(N[(t$95$2 * -2.0), $MachinePrecision] * J$95$m), $MachinePrecision] * N[Sqrt[N[(N[(U$95$m / J$95$m), $MachinePrecision] * N[(0.25 * N[(U$95$m / J$95$m), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]), $MachinePrecision]]]]]
    
    \begin{array}{l}
    U_m = \left|U\right|
    \\
    J\_m = \left|J\right|
    \\
    J\_s = \mathsf{copysign}\left(1, J\right)
    
    \\
    \begin{array}{l}
    t_0 := \cos \left(\frac{K}{2}\right)\\
    t_1 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\
    t_2 := \cos \left(-0.5 \cdot K\right)\\
    t_3 := \left(-1 \cdot \frac{t\_2}{\left|t\_2\right|}\right) \cdot U\_m\\
    J\_s \cdot \begin{array}{l}
    \mathbf{if}\;t\_1 \leq -\infty:\\
    \;\;\;\;t\_3\\
    
    \mathbf{elif}\;t\_1 \leq 2 \cdot 10^{+300}:\\
    \;\;\;\;\left(\left(t\_2 \cdot -2\right) \cdot J\_m\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U\_m}{J\_m}, 0.25 \cdot \frac{U\_m}{J\_m}, 1\right)}\\
    
    \mathbf{else}:\\
    \;\;\;\;t\_3\\
    
    
    \end{array}
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64))))) < -inf.0 or 2.0000000000000001e300 < (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64)))))

      1. Initial program 73.3%

        \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
      2. Taylor expanded in U around -inf

        \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right)} \]
      3. Step-by-step derivation
        1. lower-*.f64N/A

          \[\leadsto 2 \cdot \color{blue}{\left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right)} \]
        2. lower-*.f64N/A

          \[\leadsto 2 \cdot \left(J \cdot \color{blue}{\left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)}\right) \]
        3. lower-*.f64N/A

          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \color{blue}{\left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)}\right)\right) \]
        4. lower-*.f64N/A

          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \color{blue}{\sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}}\right)\right)\right) \]
        5. lower-cos.f64N/A

          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\color{blue}{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}}\right)\right)\right) \]
        6. lower-*.f64N/A

          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\color{blue}{\frac{1}{4}}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
        7. lower-sqrt.f64N/A

          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
        8. lower-/.f64N/A

          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
        9. lower-*.f64N/A

          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
        10. lower-pow.f64N/A

          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
      4. Applied rewrites1.4%

        \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(0.5 \cdot K\right) \cdot \sqrt{\frac{0.25}{{J}^{2} \cdot {\cos \left(0.5 \cdot K\right)}^{2}}}\right)\right)\right)} \]
      5. Applied rewrites1.4%

        \[\leadsto \left(\left(J + J\right) \cdot \left(\frac{\sqrt{\frac{0.25}{J \cdot J}}}{\left|\cos \left(-0.5 \cdot K\right)\right|} \cdot \cos \left(-0.5 \cdot K\right)\right)\right) \cdot \color{blue}{U} \]
      6. Taylor expanded in J around -inf

        \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
      7. Step-by-step derivation
        1. lower-*.f64N/A

          \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
        2. lower-/.f64N/A

          \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
        3. lower-cos.f64N/A

          \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
        4. lower-*.f64N/A

          \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
        5. lower-fabs.f64N/A

          \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
        6. lower-cos.f64N/A

          \[\leadsto \left(-1 \cdot \frac{\cos \left(\frac{-1}{2} \cdot K\right)}{\left|\cos \left(\frac{-1}{2} \cdot K\right)\right|}\right) \cdot U \]
        7. lower-*.f6452.0

          \[\leadsto \left(-1 \cdot \frac{\cos \left(-0.5 \cdot K\right)}{\left|\cos \left(-0.5 \cdot K\right)\right|}\right) \cdot U \]
      8. Applied rewrites52.0%

        \[\leadsto \left(-1 \cdot \frac{\cos \left(-0.5 \cdot K\right)}{\left|\cos \left(-0.5 \cdot K\right)\right|}\right) \cdot U \]

      if -inf.0 < (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64))))) < 2.0000000000000001e300

      1. Initial program 73.3%

        \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
      2. Step-by-step derivation
        1. lift-+.f64N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}} \]
        2. +-commutativeN/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2} + 1}} \]
        3. lift-pow.f64N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} + 1} \]
        4. unpow2N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
        5. lift-/.f64N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
        6. lift-*.f64N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{U}{\color{blue}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
        7. associate-/r*N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
        8. lift-/.f64N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)} \cdot \color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
        9. frac-timesN/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J} \cdot U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
        10. associate-/l*N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{2 \cdot J} \cdot \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
        11. lower-fma.f64N/A

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{2 \cdot J}, \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}, 1\right)}} \]
      3. Applied rewrites73.1%

        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J + J}, \frac{U}{\left(0.5 + 0.5 \cdot \cos K\right) \cdot \left(J + J\right)}, 1\right)}} \]
      4. Applied rewrites73.1%

        \[\leadsto \color{blue}{\left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right)}}{J} \cdot \frac{U}{J}}{4} - -1}} \]
      5. Taylor expanded in K around 0

        \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\color{blue}{U}}{J} \cdot \frac{U}{J}}{4} - -1} \]
      6. Step-by-step derivation
        1. Applied rewrites64.1%

          \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\color{blue}{U}}{J} \cdot \frac{U}{J}}{4} - -1} \]
        2. Step-by-step derivation
          1. lift--.f64N/A

            \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4} - -1}} \]
          2. sub-flipN/A

            \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4} + \left(\mathsf{neg}\left(-1\right)\right)}} \]
          3. lift-/.f64N/A

            \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
          4. mult-flipN/A

            \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\left(\frac{U}{J} \cdot \frac{U}{J}\right) \cdot \frac{1}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
          5. lift-*.f64N/A

            \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\left(\frac{U}{J} \cdot \frac{U}{J}\right)} \cdot \frac{1}{4} + \left(\mathsf{neg}\left(-1\right)\right)} \]
          6. metadata-evalN/A

            \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\left(\frac{U}{J} \cdot \frac{U}{J}\right) \cdot \color{blue}{\frac{1}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
          7. associate-*l*N/A

            \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{U}{J} \cdot \left(\frac{U}{J} \cdot \frac{1}{4}\right)} + \left(\mathsf{neg}\left(-1\right)\right)} \]
          8. lift-*.f64N/A

            \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{U}{J} \cdot \color{blue}{\left(\frac{U}{J} \cdot \frac{1}{4}\right)} + \left(\mathsf{neg}\left(-1\right)\right)} \]
          9. metadata-evalN/A

            \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{U}{J} \cdot \left(\frac{U}{J} \cdot \frac{1}{4}\right) + \color{blue}{1}} \]
          10. lower-fma.f6464.1

            \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J}, \frac{U}{J} \cdot 0.25, 1\right)}} \]
          11. lift-*.f64N/A

            \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{J}, \color{blue}{\frac{U}{J} \cdot \frac{1}{4}}, 1\right)} \]
          12. *-commutativeN/A

            \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{J}, \color{blue}{\frac{1}{4} \cdot \frac{U}{J}}, 1\right)} \]
          13. lower-*.f6464.1

            \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{J}, \color{blue}{0.25 \cdot \frac{U}{J}}, 1\right)} \]
        3. Applied rewrites64.1%

          \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J}, 0.25 \cdot \frac{U}{J}, 1\right)}} \]
      7. Recombined 2 regimes into one program.
      8. Add Preprocessing

      Alternative 5: 72.1% accurate, 0.4× speedup?

      \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \left(K \cdot K\right) \cdot J\_m\\ t_1 := \cos \left(\frac{K}{2}\right)\\ t_2 := \left(\left(-2 \cdot J\_m\right) \cdot t\_1\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_1}\right)}^{2}}\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;t\_2 \leq -\infty:\\ \;\;\;\;\cosh \sinh^{-1} \left(\frac{U\_m}{\mathsf{fma}\left(-0.25, t\_0, J\_m + J\_m\right)}\right) \cdot \mathsf{fma}\left(J\_m, -2, t\_0 \cdot 0.25\right)\\ \mathbf{elif}\;t\_2 \leq 2 \cdot 10^{+300}:\\ \;\;\;\;\left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\_m\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U\_m}{J\_m}, 0.25 \cdot \frac{U\_m}{J\_m}, 1\right)}\\ \mathbf{else}:\\ \;\;\;\;2 \cdot \left(J\_m \cdot \left(U\_m \cdot \sqrt{\frac{0.25}{{J\_m}^{2}}}\right)\right)\\ \end{array} \end{array} \end{array} \]
      U_m = (fabs.f64 U)
      J\_m = (fabs.f64 J)
      J\_s = (copysign.f64 #s(literal 1 binary64) J)
      (FPCore (J_s J_m K U_m)
       :precision binary64
       (let* ((t_0 (* (* K K) J_m))
              (t_1 (cos (/ K 2.0)))
              (t_2
               (*
                (* (* -2.0 J_m) t_1)
                (sqrt (+ 1.0 (pow (/ U_m (* (* 2.0 J_m) t_1)) 2.0))))))
         (*
          J_s
          (if (<= t_2 (- INFINITY))
            (*
             (cosh (asinh (/ U_m (fma -0.25 t_0 (+ J_m J_m)))))
             (fma J_m -2.0 (* t_0 0.25)))
            (if (<= t_2 2e+300)
              (*
               (* (* (cos (* -0.5 K)) -2.0) J_m)
               (sqrt (fma (/ U_m J_m) (* 0.25 (/ U_m J_m)) 1.0)))
              (* 2.0 (* J_m (* U_m (sqrt (/ 0.25 (pow J_m 2.0)))))))))))
      U_m = fabs(U);
      J\_m = fabs(J);
      J\_s = copysign(1.0, J);
      double code(double J_s, double J_m, double K, double U_m) {
      	double t_0 = (K * K) * J_m;
      	double t_1 = cos((K / 2.0));
      	double t_2 = ((-2.0 * J_m) * t_1) * sqrt((1.0 + pow((U_m / ((2.0 * J_m) * t_1)), 2.0)));
      	double tmp;
      	if (t_2 <= -((double) INFINITY)) {
      		tmp = cosh(asinh((U_m / fma(-0.25, t_0, (J_m + J_m))))) * fma(J_m, -2.0, (t_0 * 0.25));
      	} else if (t_2 <= 2e+300) {
      		tmp = ((cos((-0.5 * K)) * -2.0) * J_m) * sqrt(fma((U_m / J_m), (0.25 * (U_m / J_m)), 1.0));
      	} else {
      		tmp = 2.0 * (J_m * (U_m * sqrt((0.25 / pow(J_m, 2.0)))));
      	}
      	return J_s * tmp;
      }
      
      U_m = abs(U)
      J\_m = abs(J)
      J\_s = copysign(1.0, J)
      function code(J_s, J_m, K, U_m)
      	t_0 = Float64(Float64(K * K) * J_m)
      	t_1 = cos(Float64(K / 2.0))
      	t_2 = Float64(Float64(Float64(-2.0 * J_m) * t_1) * sqrt(Float64(1.0 + (Float64(U_m / Float64(Float64(2.0 * J_m) * t_1)) ^ 2.0))))
      	tmp = 0.0
      	if (t_2 <= Float64(-Inf))
      		tmp = Float64(cosh(asinh(Float64(U_m / fma(-0.25, t_0, Float64(J_m + J_m))))) * fma(J_m, -2.0, Float64(t_0 * 0.25)));
      	elseif (t_2 <= 2e+300)
      		tmp = Float64(Float64(Float64(cos(Float64(-0.5 * K)) * -2.0) * J_m) * sqrt(fma(Float64(U_m / J_m), Float64(0.25 * Float64(U_m / J_m)), 1.0)));
      	else
      		tmp = Float64(2.0 * Float64(J_m * Float64(U_m * sqrt(Float64(0.25 / (J_m ^ 2.0))))));
      	end
      	return Float64(J_s * tmp)
      end
      
      U_m = N[Abs[U], $MachinePrecision]
      J\_m = N[Abs[J], $MachinePrecision]
      J\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[J]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
      code[J$95$s_, J$95$m_, K_, U$95$m_] := Block[{t$95$0 = N[(N[(K * K), $MachinePrecision] * J$95$m), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(-2.0 * J$95$m), $MachinePrecision] * t$95$1), $MachinePrecision] * N[Sqrt[N[(1.0 + N[Power[N[(U$95$m / N[(N[(2.0 * J$95$m), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(J$95$s * If[LessEqual[t$95$2, (-Infinity)], N[(N[Cosh[N[ArcSinh[N[(U$95$m / N[(-0.25 * t$95$0 + N[(J$95$m + J$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(J$95$m * -2.0 + N[(t$95$0 * 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 2e+300], N[(N[(N[(N[Cos[N[(-0.5 * K), $MachinePrecision]], $MachinePrecision] * -2.0), $MachinePrecision] * J$95$m), $MachinePrecision] * N[Sqrt[N[(N[(U$95$m / J$95$m), $MachinePrecision] * N[(0.25 * N[(U$95$m / J$95$m), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(J$95$m * N[(U$95$m * N[Sqrt[N[(0.25 / N[Power[J$95$m, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]]]]
      
      \begin{array}{l}
      U_m = \left|U\right|
      \\
      J\_m = \left|J\right|
      \\
      J\_s = \mathsf{copysign}\left(1, J\right)
      
      \\
      \begin{array}{l}
      t_0 := \left(K \cdot K\right) \cdot J\_m\\
      t_1 := \cos \left(\frac{K}{2}\right)\\
      t_2 := \left(\left(-2 \cdot J\_m\right) \cdot t\_1\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_1}\right)}^{2}}\\
      J\_s \cdot \begin{array}{l}
      \mathbf{if}\;t\_2 \leq -\infty:\\
      \;\;\;\;\cosh \sinh^{-1} \left(\frac{U\_m}{\mathsf{fma}\left(-0.25, t\_0, J\_m + J\_m\right)}\right) \cdot \mathsf{fma}\left(J\_m, -2, t\_0 \cdot 0.25\right)\\
      
      \mathbf{elif}\;t\_2 \leq 2 \cdot 10^{+300}:\\
      \;\;\;\;\left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\_m\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U\_m}{J\_m}, 0.25 \cdot \frac{U\_m}{J\_m}, 1\right)}\\
      
      \mathbf{else}:\\
      \;\;\;\;2 \cdot \left(J\_m \cdot \left(U\_m \cdot \sqrt{\frac{0.25}{{J\_m}^{2}}}\right)\right)\\
      
      
      \end{array}
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 3 regimes
      2. if (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64))))) < -inf.0

        1. Initial program 73.3%

          \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
        2. Taylor expanded in K around 0

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\color{blue}{\frac{-1}{4} \cdot \left(J \cdot {K}^{2}\right) + 2 \cdot J}}\right)}^{2}} \]
        3. Step-by-step derivation
          1. lower-fma.f64N/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, \color{blue}{J \cdot {K}^{2}}, 2 \cdot J\right)}\right)}^{2}} \]
          2. lower-*.f64N/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot \color{blue}{{K}^{2}}, 2 \cdot J\right)}\right)}^{2}} \]
          3. lower-pow.f64N/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{\color{blue}{2}}, 2 \cdot J\right)}\right)}^{2}} \]
          4. lower-*.f6462.3

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(-0.25, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
        4. Applied rewrites62.3%

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\color{blue}{\mathsf{fma}\left(-0.25, J \cdot {K}^{2}, 2 \cdot J\right)}}\right)}^{2}} \]
        5. Taylor expanded in K around 0

          \[\leadsto \color{blue}{\left(-2 \cdot J + \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right)} \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
        6. Step-by-step derivation
          1. lower-fma.f64N/A

            \[\leadsto \mathsf{fma}\left(-2, \color{blue}{J}, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
          2. lower-*.f64N/A

            \[\leadsto \mathsf{fma}\left(-2, J, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
          3. lower-*.f64N/A

            \[\leadsto \mathsf{fma}\left(-2, J, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
          4. lower-pow.f6438.8

            \[\leadsto \mathsf{fma}\left(-2, J, 0.25 \cdot \left(J \cdot {K}^{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(-0.25, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
        7. Applied rewrites38.8%

          \[\leadsto \color{blue}{\mathsf{fma}\left(-2, J, 0.25 \cdot \left(J \cdot {K}^{2}\right)\right)} \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(-0.25, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
        8. Step-by-step derivation
          1. lift-*.f64N/A

            \[\leadsto \color{blue}{\mathsf{fma}\left(-2, J, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}}} \]
          2. *-commutativeN/A

            \[\leadsto \color{blue}{\sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \cdot \mathsf{fma}\left(-2, J, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right)} \]
          3. lower-*.f6438.8

            \[\leadsto \color{blue}{\sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(-0.25, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \cdot \mathsf{fma}\left(-2, J, 0.25 \cdot \left(J \cdot {K}^{2}\right)\right)} \]
        9. Applied rewrites45.2%

          \[\leadsto \color{blue}{\cosh \sinh^{-1} \left(\frac{U}{\mathsf{fma}\left(-0.25, \left(K \cdot K\right) \cdot J, J + J\right)}\right) \cdot \mathsf{fma}\left(J, -2, \left(\left(K \cdot K\right) \cdot J\right) \cdot 0.25\right)} \]

        if -inf.0 < (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64))))) < 2.0000000000000001e300

        1. Initial program 73.3%

          \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
        2. Step-by-step derivation
          1. lift-+.f64N/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}} \]
          2. +-commutativeN/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2} + 1}} \]
          3. lift-pow.f64N/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} + 1} \]
          4. unpow2N/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
          5. lift-/.f64N/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
          6. lift-*.f64N/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{U}{\color{blue}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
          7. associate-/r*N/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
          8. lift-/.f64N/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)} \cdot \color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
          9. frac-timesN/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J} \cdot U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
          10. associate-/l*N/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{2 \cdot J} \cdot \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
          11. lower-fma.f64N/A

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{2 \cdot J}, \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}, 1\right)}} \]
        3. Applied rewrites73.1%

          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J + J}, \frac{U}{\left(0.5 + 0.5 \cdot \cos K\right) \cdot \left(J + J\right)}, 1\right)}} \]
        4. Applied rewrites73.1%

          \[\leadsto \color{blue}{\left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right)}}{J} \cdot \frac{U}{J}}{4} - -1}} \]
        5. Taylor expanded in K around 0

          \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\color{blue}{U}}{J} \cdot \frac{U}{J}}{4} - -1} \]
        6. Step-by-step derivation
          1. Applied rewrites64.1%

            \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\color{blue}{U}}{J} \cdot \frac{U}{J}}{4} - -1} \]
          2. Step-by-step derivation
            1. lift--.f64N/A

              \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4} - -1}} \]
            2. sub-flipN/A

              \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4} + \left(\mathsf{neg}\left(-1\right)\right)}} \]
            3. lift-/.f64N/A

              \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
            4. mult-flipN/A

              \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\left(\frac{U}{J} \cdot \frac{U}{J}\right) \cdot \frac{1}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
            5. lift-*.f64N/A

              \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\left(\frac{U}{J} \cdot \frac{U}{J}\right)} \cdot \frac{1}{4} + \left(\mathsf{neg}\left(-1\right)\right)} \]
            6. metadata-evalN/A

              \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\left(\frac{U}{J} \cdot \frac{U}{J}\right) \cdot \color{blue}{\frac{1}{4}} + \left(\mathsf{neg}\left(-1\right)\right)} \]
            7. associate-*l*N/A

              \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\frac{U}{J} \cdot \left(\frac{U}{J} \cdot \frac{1}{4}\right)} + \left(\mathsf{neg}\left(-1\right)\right)} \]
            8. lift-*.f64N/A

              \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{U}{J} \cdot \color{blue}{\left(\frac{U}{J} \cdot \frac{1}{4}\right)} + \left(\mathsf{neg}\left(-1\right)\right)} \]
            9. metadata-evalN/A

              \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{U}{J} \cdot \left(\frac{U}{J} \cdot \frac{1}{4}\right) + \color{blue}{1}} \]
            10. lower-fma.f6464.1

              \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J}, \frac{U}{J} \cdot 0.25, 1\right)}} \]
            11. lift-*.f64N/A

              \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{J}, \color{blue}{\frac{U}{J} \cdot \frac{1}{4}}, 1\right)} \]
            12. *-commutativeN/A

              \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{J}, \color{blue}{\frac{1}{4} \cdot \frac{U}{J}}, 1\right)} \]
            13. lower-*.f6464.1

              \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\mathsf{fma}\left(\frac{U}{J}, \color{blue}{0.25 \cdot \frac{U}{J}}, 1\right)} \]
          3. Applied rewrites64.1%

            \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J}, 0.25 \cdot \frac{U}{J}, 1\right)}} \]

          if 2.0000000000000001e300 < (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64)))))

          1. Initial program 73.3%

            \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
          2. Taylor expanded in U around -inf

            \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right)} \]
          3. Step-by-step derivation
            1. lower-*.f64N/A

              \[\leadsto 2 \cdot \color{blue}{\left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right)} \]
            2. lower-*.f64N/A

              \[\leadsto 2 \cdot \left(J \cdot \color{blue}{\left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)}\right) \]
            3. lower-*.f64N/A

              \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \color{blue}{\left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)}\right)\right) \]
            4. lower-*.f64N/A

              \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \color{blue}{\sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}}\right)\right)\right) \]
            5. lower-cos.f64N/A

              \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\color{blue}{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}}\right)\right)\right) \]
            6. lower-*.f64N/A

              \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\color{blue}{\frac{1}{4}}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
            7. lower-sqrt.f64N/A

              \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
            8. lower-/.f64N/A

              \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
            9. lower-*.f64N/A

              \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
            10. lower-pow.f64N/A

              \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
          4. Applied rewrites1.4%

            \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(0.5 \cdot K\right) \cdot \sqrt{\frac{0.25}{{J}^{2} \cdot {\cos \left(0.5 \cdot K\right)}^{2}}}\right)\right)\right)} \]
          5. Taylor expanded in K around 0

            \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2}}}\right)\right) \]
          6. Step-by-step derivation
            1. lower-sqrt.f64N/A

              \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2}}}\right)\right) \]
            2. lower-/.f64N/A

              \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2}}}\right)\right) \]
            3. lower-pow.f647.3

              \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \sqrt{\frac{0.25}{{J}^{2}}}\right)\right) \]
          7. Applied rewrites7.3%

            \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \sqrt{\frac{0.25}{{J}^{2}}}\right)\right) \]
        7. Recombined 3 regimes into one program.
        8. Add Preprocessing

        Alternative 6: 61.5% accurate, 1.9× speedup?

        \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \left(K \cdot K\right) \cdot J\_m\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;K \leq 52000000:\\ \;\;\;\;\cosh \sinh^{-1} \left(\frac{U\_m}{\mathsf{fma}\left(-0.25, t\_0, J\_m + J\_m\right)}\right) \cdot \mathsf{fma}\left(J\_m, -2, t\_0 \cdot 0.25\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\left(\cos \left(-0.5 \cdot K\right) \cdot J\_m\right) \cdot -2\right) \cdot 1\\ \end{array} \end{array} \end{array} \]
        U_m = (fabs.f64 U)
        J\_m = (fabs.f64 J)
        J\_s = (copysign.f64 #s(literal 1 binary64) J)
        (FPCore (J_s J_m K U_m)
         :precision binary64
         (let* ((t_0 (* (* K K) J_m)))
           (*
            J_s
            (if (<= K 52000000.0)
              (*
               (cosh (asinh (/ U_m (fma -0.25 t_0 (+ J_m J_m)))))
               (fma J_m -2.0 (* t_0 0.25)))
              (* (* (* (cos (* -0.5 K)) J_m) -2.0) 1.0)))))
        U_m = fabs(U);
        J\_m = fabs(J);
        J\_s = copysign(1.0, J);
        double code(double J_s, double J_m, double K, double U_m) {
        	double t_0 = (K * K) * J_m;
        	double tmp;
        	if (K <= 52000000.0) {
        		tmp = cosh(asinh((U_m / fma(-0.25, t_0, (J_m + J_m))))) * fma(J_m, -2.0, (t_0 * 0.25));
        	} else {
        		tmp = ((cos((-0.5 * K)) * J_m) * -2.0) * 1.0;
        	}
        	return J_s * tmp;
        }
        
        U_m = abs(U)
        J\_m = abs(J)
        J\_s = copysign(1.0, J)
        function code(J_s, J_m, K, U_m)
        	t_0 = Float64(Float64(K * K) * J_m)
        	tmp = 0.0
        	if (K <= 52000000.0)
        		tmp = Float64(cosh(asinh(Float64(U_m / fma(-0.25, t_0, Float64(J_m + J_m))))) * fma(J_m, -2.0, Float64(t_0 * 0.25)));
        	else
        		tmp = Float64(Float64(Float64(cos(Float64(-0.5 * K)) * J_m) * -2.0) * 1.0);
        	end
        	return Float64(J_s * tmp)
        end
        
        U_m = N[Abs[U], $MachinePrecision]
        J\_m = N[Abs[J], $MachinePrecision]
        J\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[J]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
        code[J$95$s_, J$95$m_, K_, U$95$m_] := Block[{t$95$0 = N[(N[(K * K), $MachinePrecision] * J$95$m), $MachinePrecision]}, N[(J$95$s * If[LessEqual[K, 52000000.0], N[(N[Cosh[N[ArcSinh[N[(U$95$m / N[(-0.25 * t$95$0 + N[(J$95$m + J$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(J$95$m * -2.0 + N[(t$95$0 * 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Cos[N[(-0.5 * K), $MachinePrecision]], $MachinePrecision] * J$95$m), $MachinePrecision] * -2.0), $MachinePrecision] * 1.0), $MachinePrecision]]), $MachinePrecision]]
        
        \begin{array}{l}
        U_m = \left|U\right|
        \\
        J\_m = \left|J\right|
        \\
        J\_s = \mathsf{copysign}\left(1, J\right)
        
        \\
        \begin{array}{l}
        t_0 := \left(K \cdot K\right) \cdot J\_m\\
        J\_s \cdot \begin{array}{l}
        \mathbf{if}\;K \leq 52000000:\\
        \;\;\;\;\cosh \sinh^{-1} \left(\frac{U\_m}{\mathsf{fma}\left(-0.25, t\_0, J\_m + J\_m\right)}\right) \cdot \mathsf{fma}\left(J\_m, -2, t\_0 \cdot 0.25\right)\\
        
        \mathbf{else}:\\
        \;\;\;\;\left(\left(\cos \left(-0.5 \cdot K\right) \cdot J\_m\right) \cdot -2\right) \cdot 1\\
        
        
        \end{array}
        \end{array}
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if K < 5.2e7

          1. Initial program 73.3%

            \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
          2. Taylor expanded in K around 0

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\color{blue}{\frac{-1}{4} \cdot \left(J \cdot {K}^{2}\right) + 2 \cdot J}}\right)}^{2}} \]
          3. Step-by-step derivation
            1. lower-fma.f64N/A

              \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, \color{blue}{J \cdot {K}^{2}}, 2 \cdot J\right)}\right)}^{2}} \]
            2. lower-*.f64N/A

              \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot \color{blue}{{K}^{2}}, 2 \cdot J\right)}\right)}^{2}} \]
            3. lower-pow.f64N/A

              \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{\color{blue}{2}}, 2 \cdot J\right)}\right)}^{2}} \]
            4. lower-*.f6462.3

              \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(-0.25, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
          4. Applied rewrites62.3%

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\color{blue}{\mathsf{fma}\left(-0.25, J \cdot {K}^{2}, 2 \cdot J\right)}}\right)}^{2}} \]
          5. Taylor expanded in K around 0

            \[\leadsto \color{blue}{\left(-2 \cdot J + \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right)} \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
          6. Step-by-step derivation
            1. lower-fma.f64N/A

              \[\leadsto \mathsf{fma}\left(-2, \color{blue}{J}, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
            2. lower-*.f64N/A

              \[\leadsto \mathsf{fma}\left(-2, J, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
            3. lower-*.f64N/A

              \[\leadsto \mathsf{fma}\left(-2, J, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
            4. lower-pow.f6438.8

              \[\leadsto \mathsf{fma}\left(-2, J, 0.25 \cdot \left(J \cdot {K}^{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(-0.25, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
          7. Applied rewrites38.8%

            \[\leadsto \color{blue}{\mathsf{fma}\left(-2, J, 0.25 \cdot \left(J \cdot {K}^{2}\right)\right)} \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(-0.25, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \]
          8. Step-by-step derivation
            1. lift-*.f64N/A

              \[\leadsto \color{blue}{\mathsf{fma}\left(-2, J, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}}} \]
            2. *-commutativeN/A

              \[\leadsto \color{blue}{\sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(\frac{-1}{4}, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \cdot \mathsf{fma}\left(-2, J, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right)} \]
            3. lower-*.f6438.8

              \[\leadsto \color{blue}{\sqrt{1 + {\left(\frac{U}{\mathsf{fma}\left(-0.25, J \cdot {K}^{2}, 2 \cdot J\right)}\right)}^{2}} \cdot \mathsf{fma}\left(-2, J, 0.25 \cdot \left(J \cdot {K}^{2}\right)\right)} \]
          9. Applied rewrites45.2%

            \[\leadsto \color{blue}{\cosh \sinh^{-1} \left(\frac{U}{\mathsf{fma}\left(-0.25, \left(K \cdot K\right) \cdot J, J + J\right)}\right) \cdot \mathsf{fma}\left(J, -2, \left(\left(K \cdot K\right) \cdot J\right) \cdot 0.25\right)} \]

          if 5.2e7 < K

          1. Initial program 73.3%

            \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
          2. Taylor expanded in J around inf

            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \color{blue}{1} \]
          3. Step-by-step derivation
            1. Applied rewrites51.9%

              \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \color{blue}{1} \]
            2. Step-by-step derivation
              1. lift-*.f64N/A

                \[\leadsto \color{blue}{\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)} \cdot 1 \]
              2. lift-*.f64N/A

                \[\leadsto \left(\color{blue}{\left(-2 \cdot J\right)} \cdot \cos \left(\frac{K}{2}\right)\right) \cdot 1 \]
              3. associate-*l*N/A

                \[\leadsto \color{blue}{\left(-2 \cdot \left(J \cdot \cos \left(\frac{K}{2}\right)\right)\right)} \cdot 1 \]
              4. *-commutativeN/A

                \[\leadsto \color{blue}{\left(\left(J \cdot \cos \left(\frac{K}{2}\right)\right) \cdot -2\right)} \cdot 1 \]
              5. lower-*.f64N/A

                \[\leadsto \color{blue}{\left(\left(J \cdot \cos \left(\frac{K}{2}\right)\right) \cdot -2\right)} \cdot 1 \]
              6. *-commutativeN/A

                \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot 1 \]
              7. lower-*.f6451.9

                \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot 1 \]
              8. lift-cos.f64N/A

                \[\leadsto \left(\left(\color{blue}{\cos \left(\frac{K}{2}\right)} \cdot J\right) \cdot -2\right) \cdot 1 \]
              9. cos-neg-revN/A

                \[\leadsto \left(\left(\color{blue}{\cos \left(\mathsf{neg}\left(\frac{K}{2}\right)\right)} \cdot J\right) \cdot -2\right) \cdot 1 \]
              10. lower-cos.f64N/A

                \[\leadsto \left(\left(\color{blue}{\cos \left(\mathsf{neg}\left(\frac{K}{2}\right)\right)} \cdot J\right) \cdot -2\right) \cdot 1 \]
              11. lift-/.f64N/A

                \[\leadsto \left(\left(\cos \left(\mathsf{neg}\left(\color{blue}{\frac{K}{2}}\right)\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
              12. mult-flipN/A

                \[\leadsto \left(\left(\cos \left(\mathsf{neg}\left(\color{blue}{K \cdot \frac{1}{2}}\right)\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
              13. metadata-evalN/A

                \[\leadsto \left(\left(\cos \left(\mathsf{neg}\left(K \cdot \color{blue}{\frac{1}{2}}\right)\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
              14. *-commutativeN/A

                \[\leadsto \left(\left(\cos \left(\mathsf{neg}\left(\color{blue}{\frac{1}{2} \cdot K}\right)\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
              15. lift-*.f64N/A

                \[\leadsto \left(\left(\cos \left(\mathsf{neg}\left(\color{blue}{\frac{1}{2} \cdot K}\right)\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
              16. lift-*.f64N/A

                \[\leadsto \left(\left(\cos \left(\mathsf{neg}\left(\color{blue}{\frac{1}{2} \cdot K}\right)\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
              17. distribute-lft-neg-outN/A

                \[\leadsto \left(\left(\cos \color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{2}\right)\right) \cdot K\right)} \cdot J\right) \cdot -2\right) \cdot 1 \]
              18. metadata-evalN/A

                \[\leadsto \left(\left(\cos \left(\color{blue}{\frac{-1}{2}} \cdot K\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
              19. lift-*.f6451.9

                \[\leadsto \left(\left(\cos \color{blue}{\left(-0.5 \cdot K\right)} \cdot J\right) \cdot -2\right) \cdot 1 \]
            3. Applied rewrites51.9%

              \[\leadsto \color{blue}{\left(\left(\cos \left(-0.5 \cdot K\right) \cdot J\right) \cdot -2\right)} \cdot 1 \]
          4. Recombined 2 regimes into one program.
          5. Add Preprocessing

          Alternative 7: 56.3% accurate, 1.3× speedup?

          \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ J\_s \cdot \begin{array}{l} \mathbf{if}\;\cos \left(\frac{K}{2}\right) \leq 0.975:\\ \;\;\;\;\left(\left(\cos \left(-0.5 \cdot K\right) \cdot J\_m\right) \cdot -2\right) \cdot 1\\ \mathbf{else}:\\ \;\;\;\;\left(-2 \cdot J\_m\right) \cdot \sqrt{\frac{\frac{U\_m}{J\_m} \cdot \frac{U\_m}{J\_m}}{4} - -1}\\ \end{array} \end{array} \]
          U_m = (fabs.f64 U)
          J\_m = (fabs.f64 J)
          J\_s = (copysign.f64 #s(literal 1 binary64) J)
          (FPCore (J_s J_m K U_m)
           :precision binary64
           (*
            J_s
            (if (<= (cos (/ K 2.0)) 0.975)
              (* (* (* (cos (* -0.5 K)) J_m) -2.0) 1.0)
              (* (* -2.0 J_m) (sqrt (- (/ (* (/ U_m J_m) (/ U_m J_m)) 4.0) -1.0))))))
          U_m = fabs(U);
          J\_m = fabs(J);
          J\_s = copysign(1.0, J);
          double code(double J_s, double J_m, double K, double U_m) {
          	double tmp;
          	if (cos((K / 2.0)) <= 0.975) {
          		tmp = ((cos((-0.5 * K)) * J_m) * -2.0) * 1.0;
          	} else {
          		tmp = (-2.0 * J_m) * sqrt(((((U_m / J_m) * (U_m / J_m)) / 4.0) - -1.0));
          	}
          	return J_s * tmp;
          }
          
          U_m =     private
          J\_m =     private
          J\_s =     private
          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(j_s, j_m, k, u_m)
          use fmin_fmax_functions
              real(8), intent (in) :: j_s
              real(8), intent (in) :: j_m
              real(8), intent (in) :: k
              real(8), intent (in) :: u_m
              real(8) :: tmp
              if (cos((k / 2.0d0)) <= 0.975d0) then
                  tmp = ((cos(((-0.5d0) * k)) * j_m) * (-2.0d0)) * 1.0d0
              else
                  tmp = ((-2.0d0) * j_m) * sqrt(((((u_m / j_m) * (u_m / j_m)) / 4.0d0) - (-1.0d0)))
              end if
              code = j_s * tmp
          end function
          
          U_m = Math.abs(U);
          J\_m = Math.abs(J);
          J\_s = Math.copySign(1.0, J);
          public static double code(double J_s, double J_m, double K, double U_m) {
          	double tmp;
          	if (Math.cos((K / 2.0)) <= 0.975) {
          		tmp = ((Math.cos((-0.5 * K)) * J_m) * -2.0) * 1.0;
          	} else {
          		tmp = (-2.0 * J_m) * Math.sqrt(((((U_m / J_m) * (U_m / J_m)) / 4.0) - -1.0));
          	}
          	return J_s * tmp;
          }
          
          U_m = math.fabs(U)
          J\_m = math.fabs(J)
          J\_s = math.copysign(1.0, J)
          def code(J_s, J_m, K, U_m):
          	tmp = 0
          	if math.cos((K / 2.0)) <= 0.975:
          		tmp = ((math.cos((-0.5 * K)) * J_m) * -2.0) * 1.0
          	else:
          		tmp = (-2.0 * J_m) * math.sqrt(((((U_m / J_m) * (U_m / J_m)) / 4.0) - -1.0))
          	return J_s * tmp
          
          U_m = abs(U)
          J\_m = abs(J)
          J\_s = copysign(1.0, J)
          function code(J_s, J_m, K, U_m)
          	tmp = 0.0
          	if (cos(Float64(K / 2.0)) <= 0.975)
          		tmp = Float64(Float64(Float64(cos(Float64(-0.5 * K)) * J_m) * -2.0) * 1.0);
          	else
          		tmp = Float64(Float64(-2.0 * J_m) * sqrt(Float64(Float64(Float64(Float64(U_m / J_m) * Float64(U_m / J_m)) / 4.0) - -1.0)));
          	end
          	return Float64(J_s * tmp)
          end
          
          U_m = abs(U);
          J\_m = abs(J);
          J\_s = sign(J) * abs(1.0);
          function tmp_2 = code(J_s, J_m, K, U_m)
          	tmp = 0.0;
          	if (cos((K / 2.0)) <= 0.975)
          		tmp = ((cos((-0.5 * K)) * J_m) * -2.0) * 1.0;
          	else
          		tmp = (-2.0 * J_m) * sqrt(((((U_m / J_m) * (U_m / J_m)) / 4.0) - -1.0));
          	end
          	tmp_2 = J_s * tmp;
          end
          
          U_m = N[Abs[U], $MachinePrecision]
          J\_m = N[Abs[J], $MachinePrecision]
          J\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[J]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
          code[J$95$s_, J$95$m_, K_, U$95$m_] := N[(J$95$s * If[LessEqual[N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision], 0.975], N[(N[(N[(N[Cos[N[(-0.5 * K), $MachinePrecision]], $MachinePrecision] * J$95$m), $MachinePrecision] * -2.0), $MachinePrecision] * 1.0), $MachinePrecision], N[(N[(-2.0 * J$95$m), $MachinePrecision] * N[Sqrt[N[(N[(N[(N[(U$95$m / J$95$m), $MachinePrecision] * N[(U$95$m / J$95$m), $MachinePrecision]), $MachinePrecision] / 4.0), $MachinePrecision] - -1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
          
          \begin{array}{l}
          U_m = \left|U\right|
          \\
          J\_m = \left|J\right|
          \\
          J\_s = \mathsf{copysign}\left(1, J\right)
          
          \\
          J\_s \cdot \begin{array}{l}
          \mathbf{if}\;\cos \left(\frac{K}{2}\right) \leq 0.975:\\
          \;\;\;\;\left(\left(\cos \left(-0.5 \cdot K\right) \cdot J\_m\right) \cdot -2\right) \cdot 1\\
          
          \mathbf{else}:\\
          \;\;\;\;\left(-2 \cdot J\_m\right) \cdot \sqrt{\frac{\frac{U\_m}{J\_m} \cdot \frac{U\_m}{J\_m}}{4} - -1}\\
          
          
          \end{array}
          \end{array}
          
          Derivation
          1. Split input into 2 regimes
          2. if (cos.f64 (/.f64 K #s(literal 2 binary64))) < 0.974999999999999978

            1. Initial program 73.3%

              \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
            2. Taylor expanded in J around inf

              \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \color{blue}{1} \]
            3. Step-by-step derivation
              1. Applied rewrites51.9%

                \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \color{blue}{1} \]
              2. Step-by-step derivation
                1. lift-*.f64N/A

                  \[\leadsto \color{blue}{\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)} \cdot 1 \]
                2. lift-*.f64N/A

                  \[\leadsto \left(\color{blue}{\left(-2 \cdot J\right)} \cdot \cos \left(\frac{K}{2}\right)\right) \cdot 1 \]
                3. associate-*l*N/A

                  \[\leadsto \color{blue}{\left(-2 \cdot \left(J \cdot \cos \left(\frac{K}{2}\right)\right)\right)} \cdot 1 \]
                4. *-commutativeN/A

                  \[\leadsto \color{blue}{\left(\left(J \cdot \cos \left(\frac{K}{2}\right)\right) \cdot -2\right)} \cdot 1 \]
                5. lower-*.f64N/A

                  \[\leadsto \color{blue}{\left(\left(J \cdot \cos \left(\frac{K}{2}\right)\right) \cdot -2\right)} \cdot 1 \]
                6. *-commutativeN/A

                  \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot 1 \]
                7. lower-*.f6451.9

                  \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot 1 \]
                8. lift-cos.f64N/A

                  \[\leadsto \left(\left(\color{blue}{\cos \left(\frac{K}{2}\right)} \cdot J\right) \cdot -2\right) \cdot 1 \]
                9. cos-neg-revN/A

                  \[\leadsto \left(\left(\color{blue}{\cos \left(\mathsf{neg}\left(\frac{K}{2}\right)\right)} \cdot J\right) \cdot -2\right) \cdot 1 \]
                10. lower-cos.f64N/A

                  \[\leadsto \left(\left(\color{blue}{\cos \left(\mathsf{neg}\left(\frac{K}{2}\right)\right)} \cdot J\right) \cdot -2\right) \cdot 1 \]
                11. lift-/.f64N/A

                  \[\leadsto \left(\left(\cos \left(\mathsf{neg}\left(\color{blue}{\frac{K}{2}}\right)\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
                12. mult-flipN/A

                  \[\leadsto \left(\left(\cos \left(\mathsf{neg}\left(\color{blue}{K \cdot \frac{1}{2}}\right)\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
                13. metadata-evalN/A

                  \[\leadsto \left(\left(\cos \left(\mathsf{neg}\left(K \cdot \color{blue}{\frac{1}{2}}\right)\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
                14. *-commutativeN/A

                  \[\leadsto \left(\left(\cos \left(\mathsf{neg}\left(\color{blue}{\frac{1}{2} \cdot K}\right)\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
                15. lift-*.f64N/A

                  \[\leadsto \left(\left(\cos \left(\mathsf{neg}\left(\color{blue}{\frac{1}{2} \cdot K}\right)\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
                16. lift-*.f64N/A

                  \[\leadsto \left(\left(\cos \left(\mathsf{neg}\left(\color{blue}{\frac{1}{2} \cdot K}\right)\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
                17. distribute-lft-neg-outN/A

                  \[\leadsto \left(\left(\cos \color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{2}\right)\right) \cdot K\right)} \cdot J\right) \cdot -2\right) \cdot 1 \]
                18. metadata-evalN/A

                  \[\leadsto \left(\left(\cos \left(\color{blue}{\frac{-1}{2}} \cdot K\right) \cdot J\right) \cdot -2\right) \cdot 1 \]
                19. lift-*.f6451.9

                  \[\leadsto \left(\left(\cos \color{blue}{\left(-0.5 \cdot K\right)} \cdot J\right) \cdot -2\right) \cdot 1 \]
              3. Applied rewrites51.9%

                \[\leadsto \color{blue}{\left(\left(\cos \left(-0.5 \cdot K\right) \cdot J\right) \cdot -2\right)} \cdot 1 \]

              if 0.974999999999999978 < (cos.f64 (/.f64 K #s(literal 2 binary64)))

              1. Initial program 73.3%

                \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
              2. Step-by-step derivation
                1. lift-+.f64N/A

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}} \]
                2. +-commutativeN/A

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2} + 1}} \]
                3. lift-pow.f64N/A

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} + 1} \]
                4. unpow2N/A

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
                5. lift-/.f64N/A

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
                6. lift-*.f64N/A

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{U}{\color{blue}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
                7. associate-/r*N/A

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
                8. lift-/.f64N/A

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)} \cdot \color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
                9. frac-timesN/A

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J} \cdot U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
                10. associate-/l*N/A

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{2 \cdot J} \cdot \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
                11. lower-fma.f64N/A

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{2 \cdot J}, \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}, 1\right)}} \]
              3. Applied rewrites73.1%

                \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J + J}, \frac{U}{\left(0.5 + 0.5 \cdot \cos K\right) \cdot \left(J + J\right)}, 1\right)}} \]
              4. Applied rewrites73.1%

                \[\leadsto \color{blue}{\left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right)}}{J} \cdot \frac{U}{J}}{4} - -1}} \]
              5. Taylor expanded in K around 0

                \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\color{blue}{U}}{J} \cdot \frac{U}{J}}{4} - -1} \]
              6. Step-by-step derivation
                1. Applied rewrites64.1%

                  \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\color{blue}{U}}{J} \cdot \frac{U}{J}}{4} - -1} \]
                2. Taylor expanded in K around 0

                  \[\leadsto \left(\color{blue}{-2} \cdot J\right) \cdot \sqrt{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4} - -1} \]
                3. Step-by-step derivation
                  1. Applied rewrites44.2%

                    \[\leadsto \left(\color{blue}{-2} \cdot J\right) \cdot \sqrt{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4} - -1} \]
                4. Recombined 2 regimes into one program.
                5. Add Preprocessing

                Alternative 8: 50.2% accurate, 0.8× speedup?

                \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;\left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}} \leq 10^{-149}:\\ \;\;\;\;\left(-2 \cdot J\_m\right) \cdot \sqrt{\frac{\frac{U\_m}{J\_m} \cdot \frac{U\_m}{J\_m}}{4} - -1}\\ \mathbf{else}:\\ \;\;\;\;2 \cdot \left(J\_m \cdot \left(U\_m \cdot \sqrt{\frac{0.25}{{J\_m}^{2}}}\right)\right)\\ \end{array} \end{array} \end{array} \]
                U_m = (fabs.f64 U)
                J\_m = (fabs.f64 J)
                J\_s = (copysign.f64 #s(literal 1 binary64) J)
                (FPCore (J_s J_m K U_m)
                 :precision binary64
                 (let* ((t_0 (cos (/ K 2.0))))
                   (*
                    J_s
                    (if (<=
                         (*
                          (* (* -2.0 J_m) t_0)
                          (sqrt (+ 1.0 (pow (/ U_m (* (* 2.0 J_m) t_0)) 2.0))))
                         1e-149)
                      (* (* -2.0 J_m) (sqrt (- (/ (* (/ U_m J_m) (/ U_m J_m)) 4.0) -1.0)))
                      (* 2.0 (* J_m (* U_m (sqrt (/ 0.25 (pow J_m 2.0))))))))))
                U_m = fabs(U);
                J\_m = fabs(J);
                J\_s = copysign(1.0, J);
                double code(double J_s, double J_m, double K, double U_m) {
                	double t_0 = cos((K / 2.0));
                	double tmp;
                	if ((((-2.0 * J_m) * t_0) * sqrt((1.0 + pow((U_m / ((2.0 * J_m) * t_0)), 2.0)))) <= 1e-149) {
                		tmp = (-2.0 * J_m) * sqrt(((((U_m / J_m) * (U_m / J_m)) / 4.0) - -1.0));
                	} else {
                		tmp = 2.0 * (J_m * (U_m * sqrt((0.25 / pow(J_m, 2.0)))));
                	}
                	return J_s * tmp;
                }
                
                U_m =     private
                J\_m =     private
                J\_s =     private
                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(j_s, j_m, k, u_m)
                use fmin_fmax_functions
                    real(8), intent (in) :: j_s
                    real(8), intent (in) :: j_m
                    real(8), intent (in) :: k
                    real(8), intent (in) :: u_m
                    real(8) :: t_0
                    real(8) :: tmp
                    t_0 = cos((k / 2.0d0))
                    if (((((-2.0d0) * j_m) * t_0) * sqrt((1.0d0 + ((u_m / ((2.0d0 * j_m) * t_0)) ** 2.0d0)))) <= 1d-149) then
                        tmp = ((-2.0d0) * j_m) * sqrt(((((u_m / j_m) * (u_m / j_m)) / 4.0d0) - (-1.0d0)))
                    else
                        tmp = 2.0d0 * (j_m * (u_m * sqrt((0.25d0 / (j_m ** 2.0d0)))))
                    end if
                    code = j_s * tmp
                end function
                
                U_m = Math.abs(U);
                J\_m = Math.abs(J);
                J\_s = Math.copySign(1.0, J);
                public static double code(double J_s, double J_m, double K, double U_m) {
                	double t_0 = Math.cos((K / 2.0));
                	double tmp;
                	if ((((-2.0 * J_m) * t_0) * Math.sqrt((1.0 + Math.pow((U_m / ((2.0 * J_m) * t_0)), 2.0)))) <= 1e-149) {
                		tmp = (-2.0 * J_m) * Math.sqrt(((((U_m / J_m) * (U_m / J_m)) / 4.0) - -1.0));
                	} else {
                		tmp = 2.0 * (J_m * (U_m * Math.sqrt((0.25 / Math.pow(J_m, 2.0)))));
                	}
                	return J_s * tmp;
                }
                
                U_m = math.fabs(U)
                J\_m = math.fabs(J)
                J\_s = math.copysign(1.0, J)
                def code(J_s, J_m, K, U_m):
                	t_0 = math.cos((K / 2.0))
                	tmp = 0
                	if (((-2.0 * J_m) * t_0) * math.sqrt((1.0 + math.pow((U_m / ((2.0 * J_m) * t_0)), 2.0)))) <= 1e-149:
                		tmp = (-2.0 * J_m) * math.sqrt(((((U_m / J_m) * (U_m / J_m)) / 4.0) - -1.0))
                	else:
                		tmp = 2.0 * (J_m * (U_m * math.sqrt((0.25 / math.pow(J_m, 2.0)))))
                	return J_s * tmp
                
                U_m = abs(U)
                J\_m = abs(J)
                J\_s = copysign(1.0, J)
                function code(J_s, J_m, K, U_m)
                	t_0 = cos(Float64(K / 2.0))
                	tmp = 0.0
                	if (Float64(Float64(Float64(-2.0 * J_m) * t_0) * sqrt(Float64(1.0 + (Float64(U_m / Float64(Float64(2.0 * J_m) * t_0)) ^ 2.0)))) <= 1e-149)
                		tmp = Float64(Float64(-2.0 * J_m) * sqrt(Float64(Float64(Float64(Float64(U_m / J_m) * Float64(U_m / J_m)) / 4.0) - -1.0)));
                	else
                		tmp = Float64(2.0 * Float64(J_m * Float64(U_m * sqrt(Float64(0.25 / (J_m ^ 2.0))))));
                	end
                	return Float64(J_s * tmp)
                end
                
                U_m = abs(U);
                J\_m = abs(J);
                J\_s = sign(J) * abs(1.0);
                function tmp_2 = code(J_s, J_m, K, U_m)
                	t_0 = cos((K / 2.0));
                	tmp = 0.0;
                	if ((((-2.0 * J_m) * t_0) * sqrt((1.0 + ((U_m / ((2.0 * J_m) * t_0)) ^ 2.0)))) <= 1e-149)
                		tmp = (-2.0 * J_m) * sqrt(((((U_m / J_m) * (U_m / J_m)) / 4.0) - -1.0));
                	else
                		tmp = 2.0 * (J_m * (U_m * sqrt((0.25 / (J_m ^ 2.0)))));
                	end
                	tmp_2 = J_s * tmp;
                end
                
                U_m = N[Abs[U], $MachinePrecision]
                J\_m = N[Abs[J], $MachinePrecision]
                J\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[J]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
                code[J$95$s_, J$95$m_, K_, U$95$m_] := Block[{t$95$0 = N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(J$95$s * If[LessEqual[N[(N[(N[(-2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision] * N[Sqrt[N[(1.0 + N[Power[N[(U$95$m / N[(N[(2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 1e-149], N[(N[(-2.0 * J$95$m), $MachinePrecision] * N[Sqrt[N[(N[(N[(N[(U$95$m / J$95$m), $MachinePrecision] * N[(U$95$m / J$95$m), $MachinePrecision]), $MachinePrecision] / 4.0), $MachinePrecision] - -1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(J$95$m * N[(U$95$m * N[Sqrt[N[(0.25 / N[Power[J$95$m, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]]
                
                \begin{array}{l}
                U_m = \left|U\right|
                \\
                J\_m = \left|J\right|
                \\
                J\_s = \mathsf{copysign}\left(1, J\right)
                
                \\
                \begin{array}{l}
                t_0 := \cos \left(\frac{K}{2}\right)\\
                J\_s \cdot \begin{array}{l}
                \mathbf{if}\;\left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}} \leq 10^{-149}:\\
                \;\;\;\;\left(-2 \cdot J\_m\right) \cdot \sqrt{\frac{\frac{U\_m}{J\_m} \cdot \frac{U\_m}{J\_m}}{4} - -1}\\
                
                \mathbf{else}:\\
                \;\;\;\;2 \cdot \left(J\_m \cdot \left(U\_m \cdot \sqrt{\frac{0.25}{{J\_m}^{2}}}\right)\right)\\
                
                
                \end{array}
                \end{array}
                \end{array}
                
                Derivation
                1. Split input into 2 regimes
                2. if (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64))))) < 9.99999999999999979e-150

                  1. Initial program 73.3%

                    \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                  2. Step-by-step derivation
                    1. lift-+.f64N/A

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}} \]
                    2. +-commutativeN/A

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2} + 1}} \]
                    3. lift-pow.f64N/A

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} + 1} \]
                    4. unpow2N/A

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
                    5. lift-/.f64N/A

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
                    6. lift-*.f64N/A

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{U}{\color{blue}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
                    7. associate-/r*N/A

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
                    8. lift-/.f64N/A

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)} \cdot \color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
                    9. frac-timesN/A

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J} \cdot U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
                    10. associate-/l*N/A

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{2 \cdot J} \cdot \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
                    11. lower-fma.f64N/A

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{2 \cdot J}, \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}, 1\right)}} \]
                  3. Applied rewrites73.1%

                    \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J + J}, \frac{U}{\left(0.5 + 0.5 \cdot \cos K\right) \cdot \left(J + J\right)}, 1\right)}} \]
                  4. Applied rewrites73.1%

                    \[\leadsto \color{blue}{\left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right)}}{J} \cdot \frac{U}{J}}{4} - -1}} \]
                  5. Taylor expanded in K around 0

                    \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\color{blue}{U}}{J} \cdot \frac{U}{J}}{4} - -1} \]
                  6. Step-by-step derivation
                    1. Applied rewrites64.1%

                      \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\color{blue}{U}}{J} \cdot \frac{U}{J}}{4} - -1} \]
                    2. Taylor expanded in K around 0

                      \[\leadsto \left(\color{blue}{-2} \cdot J\right) \cdot \sqrt{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4} - -1} \]
                    3. Step-by-step derivation
                      1. Applied rewrites44.2%

                        \[\leadsto \left(\color{blue}{-2} \cdot J\right) \cdot \sqrt{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4} - -1} \]

                      if 9.99999999999999979e-150 < (*.f64 (*.f64 (*.f64 #s(literal -2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64)))) (sqrt.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 U (*.f64 (*.f64 #s(literal 2 binary64) J) (cos.f64 (/.f64 K #s(literal 2 binary64))))) #s(literal 2 binary64)))))

                      1. Initial program 73.3%

                        \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                      2. Taylor expanded in U around -inf

                        \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right)} \]
                      3. Step-by-step derivation
                        1. lower-*.f64N/A

                          \[\leadsto 2 \cdot \color{blue}{\left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right)} \]
                        2. lower-*.f64N/A

                          \[\leadsto 2 \cdot \left(J \cdot \color{blue}{\left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)}\right) \]
                        3. lower-*.f64N/A

                          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \color{blue}{\left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)}\right)\right) \]
                        4. lower-*.f64N/A

                          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \color{blue}{\sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}}\right)\right)\right) \]
                        5. lower-cos.f64N/A

                          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\color{blue}{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}}\right)\right)\right) \]
                        6. lower-*.f64N/A

                          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\color{blue}{\frac{1}{4}}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
                        7. lower-sqrt.f64N/A

                          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
                        8. lower-/.f64N/A

                          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
                        9. lower-*.f64N/A

                          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
                        10. lower-pow.f64N/A

                          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}}\right)\right)\right) \]
                      4. Applied rewrites1.4%

                        \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(U \cdot \left(\cos \left(0.5 \cdot K\right) \cdot \sqrt{\frac{0.25}{{J}^{2} \cdot {\cos \left(0.5 \cdot K\right)}^{2}}}\right)\right)\right)} \]
                      5. Taylor expanded in K around 0

                        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2}}}\right)\right) \]
                      6. Step-by-step derivation
                        1. lower-sqrt.f64N/A

                          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2}}}\right)\right) \]
                        2. lower-/.f64N/A

                          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \sqrt{\frac{\frac{1}{4}}{{J}^{2}}}\right)\right) \]
                        3. lower-pow.f647.3

                          \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \sqrt{\frac{0.25}{{J}^{2}}}\right)\right) \]
                      7. Applied rewrites7.3%

                        \[\leadsto 2 \cdot \left(J \cdot \left(U \cdot \sqrt{\frac{0.25}{{J}^{2}}}\right)\right) \]
                    4. Recombined 2 regimes into one program.
                    5. Add Preprocessing

                    Alternative 9: 44.2% accurate, 4.5× speedup?

                    \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ J\_s \cdot \left(\left(-2 \cdot J\_m\right) \cdot \sqrt{\frac{\frac{U\_m}{J\_m} \cdot \frac{U\_m}{J\_m}}{4} - -1}\right) \end{array} \]
                    U_m = (fabs.f64 U)
                    J\_m = (fabs.f64 J)
                    J\_s = (copysign.f64 #s(literal 1 binary64) J)
                    (FPCore (J_s J_m K U_m)
                     :precision binary64
                     (* J_s (* (* -2.0 J_m) (sqrt (- (/ (* (/ U_m J_m) (/ U_m J_m)) 4.0) -1.0)))))
                    U_m = fabs(U);
                    J\_m = fabs(J);
                    J\_s = copysign(1.0, J);
                    double code(double J_s, double J_m, double K, double U_m) {
                    	return J_s * ((-2.0 * J_m) * sqrt(((((U_m / J_m) * (U_m / J_m)) / 4.0) - -1.0)));
                    }
                    
                    U_m =     private
                    J\_m =     private
                    J\_s =     private
                    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(j_s, j_m, k, u_m)
                    use fmin_fmax_functions
                        real(8), intent (in) :: j_s
                        real(8), intent (in) :: j_m
                        real(8), intent (in) :: k
                        real(8), intent (in) :: u_m
                        code = j_s * (((-2.0d0) * j_m) * sqrt(((((u_m / j_m) * (u_m / j_m)) / 4.0d0) - (-1.0d0))))
                    end function
                    
                    U_m = Math.abs(U);
                    J\_m = Math.abs(J);
                    J\_s = Math.copySign(1.0, J);
                    public static double code(double J_s, double J_m, double K, double U_m) {
                    	return J_s * ((-2.0 * J_m) * Math.sqrt(((((U_m / J_m) * (U_m / J_m)) / 4.0) - -1.0)));
                    }
                    
                    U_m = math.fabs(U)
                    J\_m = math.fabs(J)
                    J\_s = math.copysign(1.0, J)
                    def code(J_s, J_m, K, U_m):
                    	return J_s * ((-2.0 * J_m) * math.sqrt(((((U_m / J_m) * (U_m / J_m)) / 4.0) - -1.0)))
                    
                    U_m = abs(U)
                    J\_m = abs(J)
                    J\_s = copysign(1.0, J)
                    function code(J_s, J_m, K, U_m)
                    	return Float64(J_s * Float64(Float64(-2.0 * J_m) * sqrt(Float64(Float64(Float64(Float64(U_m / J_m) * Float64(U_m / J_m)) / 4.0) - -1.0))))
                    end
                    
                    U_m = abs(U);
                    J\_m = abs(J);
                    J\_s = sign(J) * abs(1.0);
                    function tmp = code(J_s, J_m, K, U_m)
                    	tmp = J_s * ((-2.0 * J_m) * sqrt(((((U_m / J_m) * (U_m / J_m)) / 4.0) - -1.0)));
                    end
                    
                    U_m = N[Abs[U], $MachinePrecision]
                    J\_m = N[Abs[J], $MachinePrecision]
                    J\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[J]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
                    code[J$95$s_, J$95$m_, K_, U$95$m_] := N[(J$95$s * N[(N[(-2.0 * J$95$m), $MachinePrecision] * N[Sqrt[N[(N[(N[(N[(U$95$m / J$95$m), $MachinePrecision] * N[(U$95$m / J$95$m), $MachinePrecision]), $MachinePrecision] / 4.0), $MachinePrecision] - -1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
                    
                    \begin{array}{l}
                    U_m = \left|U\right|
                    \\
                    J\_m = \left|J\right|
                    \\
                    J\_s = \mathsf{copysign}\left(1, J\right)
                    
                    \\
                    J\_s \cdot \left(\left(-2 \cdot J\_m\right) \cdot \sqrt{\frac{\frac{U\_m}{J\_m} \cdot \frac{U\_m}{J\_m}}{4} - -1}\right)
                    \end{array}
                    
                    Derivation
                    1. Initial program 73.3%

                      \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                    2. Step-by-step derivation
                      1. lift-+.f64N/A

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}} \]
                      2. +-commutativeN/A

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2} + 1}} \]
                      3. lift-pow.f64N/A

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} + 1} \]
                      4. unpow2N/A

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
                      5. lift-/.f64N/A

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
                      6. lift-*.f64N/A

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{U}{\color{blue}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
                      7. associate-/r*N/A

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)}} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} + 1} \]
                      8. lift-/.f64N/A

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\frac{\frac{U}{2 \cdot J}}{\cos \left(\frac{K}{2}\right)} \cdot \color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}} + 1} \]
                      9. frac-timesN/A

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{\frac{U}{2 \cdot J} \cdot U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
                      10. associate-/l*N/A

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\frac{U}{2 \cdot J} \cdot \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}} + 1} \]
                      11. lower-fma.f64N/A

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{2 \cdot J}, \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right)}, 1\right)}} \]
                    3. Applied rewrites73.1%

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{U}{J + J}, \frac{U}{\left(0.5 + 0.5 \cdot \cos K\right) \cdot \left(J + J\right)}, 1\right)}} \]
                    4. Applied rewrites73.1%

                      \[\leadsto \color{blue}{\left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\frac{U}{\mathsf{fma}\left(\cos K, 0.5, 0.5\right)}}{J} \cdot \frac{U}{J}}{4} - -1}} \]
                    5. Taylor expanded in K around 0

                      \[\leadsto \left(\left(\cos \left(\frac{-1}{2} \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\color{blue}{U}}{J} \cdot \frac{U}{J}}{4} - -1} \]
                    6. Step-by-step derivation
                      1. Applied rewrites64.1%

                        \[\leadsto \left(\left(\cos \left(-0.5 \cdot K\right) \cdot -2\right) \cdot J\right) \cdot \sqrt{\frac{\frac{\color{blue}{U}}{J} \cdot \frac{U}{J}}{4} - -1} \]
                      2. Taylor expanded in K around 0

                        \[\leadsto \left(\color{blue}{-2} \cdot J\right) \cdot \sqrt{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4} - -1} \]
                      3. Step-by-step derivation
                        1. Applied rewrites44.2%

                          \[\leadsto \left(\color{blue}{-2} \cdot J\right) \cdot \sqrt{\frac{\frac{U}{J} \cdot \frac{U}{J}}{4} - -1} \]
                        2. Add Preprocessing

                        Alternative 10: 26.5% accurate, 6.2× speedup?

                        \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ J\_s \cdot \left(\mathsf{fma}\left(K \cdot K, 0.25 \cdot J\_m, J\_m \cdot -2\right) \cdot 1\right) \end{array} \]
                        U_m = (fabs.f64 U)
                        J\_m = (fabs.f64 J)
                        J\_s = (copysign.f64 #s(literal 1 binary64) J)
                        (FPCore (J_s J_m K U_m)
                         :precision binary64
                         (* J_s (* (fma (* K K) (* 0.25 J_m) (* J_m -2.0)) 1.0)))
                        U_m = fabs(U);
                        J\_m = fabs(J);
                        J\_s = copysign(1.0, J);
                        double code(double J_s, double J_m, double K, double U_m) {
                        	return J_s * (fma((K * K), (0.25 * J_m), (J_m * -2.0)) * 1.0);
                        }
                        
                        U_m = abs(U)
                        J\_m = abs(J)
                        J\_s = copysign(1.0, J)
                        function code(J_s, J_m, K, U_m)
                        	return Float64(J_s * Float64(fma(Float64(K * K), Float64(0.25 * J_m), Float64(J_m * -2.0)) * 1.0))
                        end
                        
                        U_m = N[Abs[U], $MachinePrecision]
                        J\_m = N[Abs[J], $MachinePrecision]
                        J\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[J]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
                        code[J$95$s_, J$95$m_, K_, U$95$m_] := N[(J$95$s * N[(N[(N[(K * K), $MachinePrecision] * N[(0.25 * J$95$m), $MachinePrecision] + N[(J$95$m * -2.0), $MachinePrecision]), $MachinePrecision] * 1.0), $MachinePrecision]), $MachinePrecision]
                        
                        \begin{array}{l}
                        U_m = \left|U\right|
                        \\
                        J\_m = \left|J\right|
                        \\
                        J\_s = \mathsf{copysign}\left(1, J\right)
                        
                        \\
                        J\_s \cdot \left(\mathsf{fma}\left(K \cdot K, 0.25 \cdot J\_m, J\_m \cdot -2\right) \cdot 1\right)
                        \end{array}
                        
                        Derivation
                        1. Initial program 73.3%

                          \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                        2. Taylor expanded in J around inf

                          \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \color{blue}{1} \]
                        3. Step-by-step derivation
                          1. Applied rewrites51.9%

                            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \color{blue}{1} \]
                          2. Taylor expanded in K around 0

                            \[\leadsto \color{blue}{\left(-2 \cdot J + \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right)} \cdot 1 \]
                          3. Step-by-step derivation
                            1. lower-fma.f64N/A

                              \[\leadsto \mathsf{fma}\left(-2, \color{blue}{J}, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot 1 \]
                            2. lower-*.f64N/A

                              \[\leadsto \mathsf{fma}\left(-2, J, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot 1 \]
                            3. lower-*.f64N/A

                              \[\leadsto \mathsf{fma}\left(-2, J, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot 1 \]
                            4. lower-pow.f6426.5

                              \[\leadsto \mathsf{fma}\left(-2, J, 0.25 \cdot \left(J \cdot {K}^{2}\right)\right) \cdot 1 \]
                          4. Applied rewrites26.5%

                            \[\leadsto \color{blue}{\mathsf{fma}\left(-2, J, 0.25 \cdot \left(J \cdot {K}^{2}\right)\right)} \cdot 1 \]
                          5. Step-by-step derivation
                            1. lift-fma.f64N/A

                              \[\leadsto \left(-2 \cdot J + \color{blue}{\frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)}\right) \cdot 1 \]
                            2. lift-*.f64N/A

                              \[\leadsto \left(-2 \cdot J + \color{blue}{\frac{1}{4}} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot 1 \]
                            3. +-commutativeN/A

                              \[\leadsto \left(\frac{1}{4} \cdot \left(J \cdot {K}^{2}\right) + \color{blue}{-2 \cdot J}\right) \cdot 1 \]
                            4. lift-*.f64N/A

                              \[\leadsto \left(\frac{1}{4} \cdot \left(J \cdot {K}^{2}\right) + \color{blue}{-2} \cdot J\right) \cdot 1 \]
                            5. lift-*.f64N/A

                              \[\leadsto \left(\frac{1}{4} \cdot \left(J \cdot {K}^{2}\right) + -2 \cdot J\right) \cdot 1 \]
                            6. associate-*r*N/A

                              \[\leadsto \left(\left(\frac{1}{4} \cdot J\right) \cdot {K}^{2} + \color{blue}{-2} \cdot J\right) \cdot 1 \]
                            7. *-commutativeN/A

                              \[\leadsto \left({K}^{2} \cdot \left(\frac{1}{4} \cdot J\right) + \color{blue}{-2} \cdot J\right) \cdot 1 \]
                            8. lower-fma.f64N/A

                              \[\leadsto \mathsf{fma}\left({K}^{2}, \color{blue}{\frac{1}{4} \cdot J}, -2 \cdot J\right) \cdot 1 \]
                            9. lift-pow.f64N/A

                              \[\leadsto \mathsf{fma}\left({K}^{2}, \color{blue}{\frac{1}{4}} \cdot J, -2 \cdot J\right) \cdot 1 \]
                            10. unpow2N/A

                              \[\leadsto \mathsf{fma}\left(K \cdot K, \color{blue}{\frac{1}{4}} \cdot J, -2 \cdot J\right) \cdot 1 \]
                            11. lower-*.f64N/A

                              \[\leadsto \mathsf{fma}\left(K \cdot K, \color{blue}{\frac{1}{4}} \cdot J, -2 \cdot J\right) \cdot 1 \]
                            12. lower-*.f6426.5

                              \[\leadsto \mathsf{fma}\left(K \cdot K, 0.25 \cdot \color{blue}{J}, -2 \cdot J\right) \cdot 1 \]
                            13. lift-*.f64N/A

                              \[\leadsto \mathsf{fma}\left(K \cdot K, \frac{1}{4} \cdot J, -2 \cdot J\right) \cdot 1 \]
                            14. *-commutativeN/A

                              \[\leadsto \mathsf{fma}\left(K \cdot K, \frac{1}{4} \cdot J, J \cdot -2\right) \cdot 1 \]
                            15. lower-*.f6426.5

                              \[\leadsto \mathsf{fma}\left(K \cdot K, 0.25 \cdot J, J \cdot -2\right) \cdot 1 \]
                          6. Applied rewrites26.5%

                            \[\leadsto \mathsf{fma}\left(K \cdot K, \color{blue}{0.25 \cdot J}, J \cdot -2\right) \cdot 1 \]
                          7. Add Preprocessing

                          Alternative 11: 26.5% accurate, 7.4× speedup?

                          \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ J\_s \cdot \left(\left(J\_m \cdot \mathsf{fma}\left(K \cdot K, 0.25, -2\right)\right) \cdot 1\right) \end{array} \]
                          U_m = (fabs.f64 U)
                          J\_m = (fabs.f64 J)
                          J\_s = (copysign.f64 #s(literal 1 binary64) J)
                          (FPCore (J_s J_m K U_m)
                           :precision binary64
                           (* J_s (* (* J_m (fma (* K K) 0.25 -2.0)) 1.0)))
                          U_m = fabs(U);
                          J\_m = fabs(J);
                          J\_s = copysign(1.0, J);
                          double code(double J_s, double J_m, double K, double U_m) {
                          	return J_s * ((J_m * fma((K * K), 0.25, -2.0)) * 1.0);
                          }
                          
                          U_m = abs(U)
                          J\_m = abs(J)
                          J\_s = copysign(1.0, J)
                          function code(J_s, J_m, K, U_m)
                          	return Float64(J_s * Float64(Float64(J_m * fma(Float64(K * K), 0.25, -2.0)) * 1.0))
                          end
                          
                          U_m = N[Abs[U], $MachinePrecision]
                          J\_m = N[Abs[J], $MachinePrecision]
                          J\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[J]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
                          code[J$95$s_, J$95$m_, K_, U$95$m_] := N[(J$95$s * N[(N[(J$95$m * N[(N[(K * K), $MachinePrecision] * 0.25 + -2.0), $MachinePrecision]), $MachinePrecision] * 1.0), $MachinePrecision]), $MachinePrecision]
                          
                          \begin{array}{l}
                          U_m = \left|U\right|
                          \\
                          J\_m = \left|J\right|
                          \\
                          J\_s = \mathsf{copysign}\left(1, J\right)
                          
                          \\
                          J\_s \cdot \left(\left(J\_m \cdot \mathsf{fma}\left(K \cdot K, 0.25, -2\right)\right) \cdot 1\right)
                          \end{array}
                          
                          Derivation
                          1. Initial program 73.3%

                            \[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                          2. Taylor expanded in J around inf

                            \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \color{blue}{1} \]
                          3. Step-by-step derivation
                            1. Applied rewrites51.9%

                              \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \color{blue}{1} \]
                            2. Taylor expanded in K around 0

                              \[\leadsto \color{blue}{\left(-2 \cdot J + \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right)} \cdot 1 \]
                            3. Step-by-step derivation
                              1. lower-fma.f64N/A

                                \[\leadsto \mathsf{fma}\left(-2, \color{blue}{J}, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot 1 \]
                              2. lower-*.f64N/A

                                \[\leadsto \mathsf{fma}\left(-2, J, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot 1 \]
                              3. lower-*.f64N/A

                                \[\leadsto \mathsf{fma}\left(-2, J, \frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot 1 \]
                              4. lower-pow.f6426.5

                                \[\leadsto \mathsf{fma}\left(-2, J, 0.25 \cdot \left(J \cdot {K}^{2}\right)\right) \cdot 1 \]
                            4. Applied rewrites26.5%

                              \[\leadsto \color{blue}{\mathsf{fma}\left(-2, J, 0.25 \cdot \left(J \cdot {K}^{2}\right)\right)} \cdot 1 \]
                            5. Step-by-step derivation
                              1. lift-fma.f64N/A

                                \[\leadsto \left(-2 \cdot J + \color{blue}{\frac{1}{4} \cdot \left(J \cdot {K}^{2}\right)}\right) \cdot 1 \]
                              2. lift-*.f64N/A

                                \[\leadsto \left(-2 \cdot J + \color{blue}{\frac{1}{4}} \cdot \left(J \cdot {K}^{2}\right)\right) \cdot 1 \]
                              3. +-commutativeN/A

                                \[\leadsto \left(\frac{1}{4} \cdot \left(J \cdot {K}^{2}\right) + \color{blue}{-2 \cdot J}\right) \cdot 1 \]
                              4. lift-*.f64N/A

                                \[\leadsto \left(\frac{1}{4} \cdot \left(J \cdot {K}^{2}\right) + \color{blue}{-2} \cdot J\right) \cdot 1 \]
                              5. lift-*.f64N/A

                                \[\leadsto \left(\frac{1}{4} \cdot \left(J \cdot {K}^{2}\right) + -2 \cdot J\right) \cdot 1 \]
                              6. associate-*r*N/A

                                \[\leadsto \left(\left(\frac{1}{4} \cdot J\right) \cdot {K}^{2} + \color{blue}{-2} \cdot J\right) \cdot 1 \]
                              7. *-commutativeN/A

                                \[\leadsto \left({K}^{2} \cdot \left(\frac{1}{4} \cdot J\right) + \color{blue}{-2} \cdot J\right) \cdot 1 \]
                              8. lower-fma.f64N/A

                                \[\leadsto \mathsf{fma}\left({K}^{2}, \color{blue}{\frac{1}{4} \cdot J}, -2 \cdot J\right) \cdot 1 \]
                              9. lift-pow.f64N/A

                                \[\leadsto \mathsf{fma}\left({K}^{2}, \color{blue}{\frac{1}{4}} \cdot J, -2 \cdot J\right) \cdot 1 \]
                              10. unpow2N/A

                                \[\leadsto \mathsf{fma}\left(K \cdot K, \color{blue}{\frac{1}{4}} \cdot J, -2 \cdot J\right) \cdot 1 \]
                              11. lower-*.f64N/A

                                \[\leadsto \mathsf{fma}\left(K \cdot K, \color{blue}{\frac{1}{4}} \cdot J, -2 \cdot J\right) \cdot 1 \]
                              12. lower-*.f6426.5

                                \[\leadsto \mathsf{fma}\left(K \cdot K, 0.25 \cdot \color{blue}{J}, -2 \cdot J\right) \cdot 1 \]
                              13. lift-*.f64N/A

                                \[\leadsto \mathsf{fma}\left(K \cdot K, \frac{1}{4} \cdot J, -2 \cdot J\right) \cdot 1 \]
                              14. *-commutativeN/A

                                \[\leadsto \mathsf{fma}\left(K \cdot K, \frac{1}{4} \cdot J, J \cdot -2\right) \cdot 1 \]
                              15. lower-*.f6426.5

                                \[\leadsto \mathsf{fma}\left(K \cdot K, 0.25 \cdot J, J \cdot -2\right) \cdot 1 \]
                            6. Applied rewrites26.5%

                              \[\leadsto \mathsf{fma}\left(K \cdot K, \color{blue}{0.25 \cdot J}, J \cdot -2\right) \cdot 1 \]
                            7. Step-by-step derivation
                              1. lift-fma.f64N/A

                                \[\leadsto \left(\left(K \cdot K\right) \cdot \left(\frac{1}{4} \cdot J\right) + \color{blue}{J \cdot -2}\right) \cdot 1 \]
                              2. lift-*.f64N/A

                                \[\leadsto \left(\left(K \cdot K\right) \cdot \left(\frac{1}{4} \cdot J\right) + J \cdot -2\right) \cdot 1 \]
                              3. pow2N/A

                                \[\leadsto \left({K}^{2} \cdot \left(\frac{1}{4} \cdot J\right) + J \cdot -2\right) \cdot 1 \]
                              4. lift-pow.f64N/A

                                \[\leadsto \left({K}^{2} \cdot \left(\frac{1}{4} \cdot J\right) + J \cdot -2\right) \cdot 1 \]
                              5. lift-*.f64N/A

                                \[\leadsto \left({K}^{2} \cdot \left(\frac{1}{4} \cdot J\right) + J \cdot -2\right) \cdot 1 \]
                              6. associate-*r*N/A

                                \[\leadsto \left(\left({K}^{2} \cdot \frac{1}{4}\right) \cdot J + \color{blue}{J} \cdot -2\right) \cdot 1 \]
                              7. lift-*.f64N/A

                                \[\leadsto \left(\left({K}^{2} \cdot \frac{1}{4}\right) \cdot J + J \cdot \color{blue}{-2}\right) \cdot 1 \]
                              8. *-commutativeN/A

                                \[\leadsto \left(\left({K}^{2} \cdot \frac{1}{4}\right) \cdot J + -2 \cdot \color{blue}{J}\right) \cdot 1 \]
                              9. distribute-rgt-outN/A

                                \[\leadsto \left(J \cdot \color{blue}{\left({K}^{2} \cdot \frac{1}{4} + -2\right)}\right) \cdot 1 \]
                              10. lower-*.f64N/A

                                \[\leadsto \left(J \cdot \color{blue}{\left({K}^{2} \cdot \frac{1}{4} + -2\right)}\right) \cdot 1 \]
                              11. lower-fma.f6426.5

                                \[\leadsto \left(J \cdot \mathsf{fma}\left({K}^{2}, \color{blue}{0.25}, -2\right)\right) \cdot 1 \]
                              12. lift-pow.f64N/A

                                \[\leadsto \left(J \cdot \mathsf{fma}\left({K}^{2}, \frac{1}{4}, -2\right)\right) \cdot 1 \]
                              13. pow2N/A

                                \[\leadsto \left(J \cdot \mathsf{fma}\left(K \cdot K, \frac{1}{4}, -2\right)\right) \cdot 1 \]
                              14. lift-*.f6426.5

                                \[\leadsto \left(J \cdot \mathsf{fma}\left(K \cdot K, 0.25, -2\right)\right) \cdot 1 \]
                            8. Applied rewrites26.5%

                              \[\leadsto \color{blue}{\left(J \cdot \mathsf{fma}\left(K \cdot K, 0.25, -2\right)\right) \cdot 1} \]
                            9. Add Preprocessing

                            Reproduce

                            ?
                            herbie shell --seed 2025157 
                            (FPCore (J K U)
                              :name "Maksimov and Kolovsky, Equation (3)"
                              :precision binary64
                              (* (* (* -2.0 J) (cos (/ K 2.0))) (sqrt (+ 1.0 (pow (/ U (* (* 2.0 J) (cos (/ K 2.0)))) 2.0)))))