Maksimov and Kolovsky, Equation (3)

Percentage Accurate: 72.9% → 99.6%
Time: 8.8s
Alternatives: 12
Speedup: 0.7×

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)));
}
real(8) function code(j, k, u)
    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}

Sampling outcomes in binary64 precision:

Local Percentage Accuracy vs ?

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

Accuracy vs Speed?

Herbie found 12 alternatives:

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

Initial Program: 72.9% 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)));
}
real(8) function code(j, k, u)
    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: 99.6% accurate, 0.3× speedup?

\[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ t_1 := \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\ t_2 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot t\_1\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;t\_2 \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\ \mathbf{elif}\;t\_2 \leq 2 \cdot 10^{+302}:\\ \;\;\;\;\left(\left(\cos \left(K \cdot -0.5\right) \cdot J\_m\right) \cdot -2\right) \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;U\_m\\ \end{array} \end{array} \end{array} \]
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 (sqrt (+ 1.0 (pow (/ U_m (* (* 2.0 J_m) t_0)) 2.0))))
        (t_2 (* (* (* -2.0 J_m) t_0) t_1)))
   (*
    J_s
    (if (<= t_2 (- INFINITY))
      (* (fma (/ (/ (* J_m J_m) U_m) U_m) -2.0 -1.0) U_m)
      (if (<= t_2 2e+302) (* (* (* (cos (* K -0.5)) J_m) -2.0) t_1) U_m)))))
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 = sqrt((1.0 + pow((U_m / ((2.0 * J_m) * t_0)), 2.0)));
	double t_2 = ((-2.0 * J_m) * t_0) * t_1;
	double tmp;
	if (t_2 <= -((double) INFINITY)) {
		tmp = fma((((J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m;
	} else if (t_2 <= 2e+302) {
		tmp = ((cos((K * -0.5)) * J_m) * -2.0) * t_1;
	} else {
		tmp = U_m;
	}
	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 = sqrt(Float64(1.0 + (Float64(U_m / Float64(Float64(2.0 * J_m) * t_0)) ^ 2.0)))
	t_2 = Float64(Float64(Float64(-2.0 * J_m) * t_0) * t_1)
	tmp = 0.0
	if (t_2 <= Float64(-Inf))
		tmp = Float64(fma(Float64(Float64(Float64(J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m);
	elseif (t_2 <= 2e+302)
		tmp = Float64(Float64(Float64(cos(Float64(K * -0.5)) * J_m) * -2.0) * t_1);
	else
		tmp = U_m;
	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[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]}, Block[{t$95$2 = N[(N[(N[(-2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$1), $MachinePrecision]}, N[(J$95$s * If[LessEqual[t$95$2, (-Infinity)], N[(N[(N[(N[(N[(J$95$m * J$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] * -2.0 + -1.0), $MachinePrecision] * U$95$m), $MachinePrecision], If[LessEqual[t$95$2, 2e+302], N[(N[(N[(N[Cos[N[(K * -0.5), $MachinePrecision]], $MachinePrecision] * J$95$m), $MachinePrecision] * -2.0), $MachinePrecision] * t$95$1), $MachinePrecision], U$95$m]]), $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 := \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\
t_2 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot t\_1\\
J\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_2 \leq -\infty:\\
\;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\

\mathbf{elif}\;t\_2 \leq 2 \cdot 10^{+302}:\\
\;\;\;\;\left(\left(\cos \left(K \cdot -0.5\right) \cdot J\_m\right) \cdot -2\right) \cdot t\_1\\

\mathbf{else}:\\
\;\;\;\;U\_m\\


\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 8.4%

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

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

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

        \[\leadsto \color{blue}{\left(-2 \cdot \frac{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}{{U}^{2}} - 1\right) \cdot U} \]
    5. Applied rewrites49.2%

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

      \[\leadsto \left(-2 \cdot \frac{{J}^{2}}{{U}^{2}} - 1\right) \cdot U \]
    7. Step-by-step derivation
      1. Applied rewrites49.2%

        \[\leadsto \mathsf{fma}\left(\frac{\frac{J \cdot J}{U}}{U}, -2, -1\right) \cdot U \]

      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))))) < 2.0000000000000002e302

      1. Initial program 99.9%

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

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

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

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

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

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

          \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
        7. lower-*.f6499.9

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

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

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

          \[\leadsto \left(\left(\cos \left(\frac{K}{\color{blue}{\mathsf{neg}\left(-2\right)}}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
        11. distribute-neg-frac2N/A

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

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

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

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

          \[\leadsto \left(\left(\cos \color{blue}{\left(K \cdot \frac{1}{-2}\right)} \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
        16. metadata-eval99.9

          \[\leadsto \left(\left(\cos \left(K \cdot \color{blue}{-0.5}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
      4. Applied rewrites99.9%

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

      if 2.0000000000000002e302 < (*.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 12.7%

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

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

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

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

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

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

          \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
        7. lower-*.f6412.7

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

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

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

          \[\leadsto \left(\left(\cos \left(\frac{K}{\color{blue}{\mathsf{neg}\left(-2\right)}}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
        11. distribute-neg-frac2N/A

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

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

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

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

          \[\leadsto \left(\left(\cos \color{blue}{\left(K \cdot \frac{1}{-2}\right)} \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
        16. metadata-eval12.7

          \[\leadsto \left(\left(\cos \left(K \cdot \color{blue}{-0.5}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
      4. Applied rewrites12.7%

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

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

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

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

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

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

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

          \[\leadsto \frac{\cos \left(\frac{-1}{2} \cdot K\right) \cdot U}{\color{blue}{\cos \left(\frac{1}{2} \cdot K\right)}} \]
        7. lower-*.f6449.1

          \[\leadsto \frac{\cos \left(-0.5 \cdot K\right) \cdot U}{\cos \color{blue}{\left(0.5 \cdot K\right)}} \]
      7. Applied rewrites49.1%

        \[\leadsto \color{blue}{\frac{\cos \left(-0.5 \cdot K\right) \cdot U}{\cos \left(0.5 \cdot K\right)}} \]
      8. Step-by-step derivation
        1. Applied rewrites49.2%

          \[\leadsto U \cdot \color{blue}{\frac{\cos \left(0.5 \cdot K\right)}{\cos \left(0.5 \cdot K\right)}} \]
      9. Recombined 3 regimes into one program.
      10. Final simplification83.2%

        \[\leadsto \begin{array}{l} \mathbf{if}\;\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{J \cdot J}{U}}{U}, -2, -1\right) \cdot U\\ \mathbf{elif}\;\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \leq 2 \cdot 10^{+302}:\\ \;\;\;\;\left(\left(\cos \left(K \cdot -0.5\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}\\ \mathbf{else}:\\ \;\;\;\;U\\ \end{array} \]
      11. Add Preprocessing

      Alternative 2: 99.5% accurate, 0.3× speedup?

      \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ t_1 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;t\_1 \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\ \mathbf{elif}\;t\_1 \leq 2 \cdot 10^{+302}:\\ \;\;\;\;\left(\left(\cos \left(K \cdot -0.5\right) \cdot J\_m\right) \cdot -2\right) \cdot \sqrt{\mathsf{fma}\left(0.25, {\left(\frac{J\_m}{U\_m} \cdot \cos \left(0.5 \cdot K\right)\right)}^{-2}, 1\right)}\\ \mathbf{else}:\\ \;\;\;\;U\_m\\ \end{array} \end{array} \end{array} \]
      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))))))
         (*
          J_s
          (if (<= t_1 (- INFINITY))
            (* (fma (/ (/ (* J_m J_m) U_m) U_m) -2.0 -1.0) U_m)
            (if (<= t_1 2e+302)
              (*
               (* (* (cos (* K -0.5)) J_m) -2.0)
               (sqrt (fma 0.25 (pow (* (/ J_m U_m) (cos (* 0.5 K))) -2.0) 1.0)))
              U_m)))))
      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 tmp;
      	if (t_1 <= -((double) INFINITY)) {
      		tmp = fma((((J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m;
      	} else if (t_1 <= 2e+302) {
      		tmp = ((cos((K * -0.5)) * J_m) * -2.0) * sqrt(fma(0.25, pow(((J_m / U_m) * cos((0.5 * K))), -2.0), 1.0));
      	} else {
      		tmp = U_m;
      	}
      	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))))
      	tmp = 0.0
      	if (t_1 <= Float64(-Inf))
      		tmp = Float64(fma(Float64(Float64(Float64(J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m);
      	elseif (t_1 <= 2e+302)
      		tmp = Float64(Float64(Float64(cos(Float64(K * -0.5)) * J_m) * -2.0) * sqrt(fma(0.25, (Float64(Float64(J_m / U_m) * cos(Float64(0.5 * K))) ^ -2.0), 1.0)));
      	else
      		tmp = U_m;
      	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]}, N[(J$95$s * If[LessEqual[t$95$1, (-Infinity)], N[(N[(N[(N[(N[(J$95$m * J$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] * -2.0 + -1.0), $MachinePrecision] * U$95$m), $MachinePrecision], If[LessEqual[t$95$1, 2e+302], N[(N[(N[(N[Cos[N[(K * -0.5), $MachinePrecision]], $MachinePrecision] * J$95$m), $MachinePrecision] * -2.0), $MachinePrecision] * N[Sqrt[N[(0.25 * N[Power[N[(N[(J$95$m / U$95$m), $MachinePrecision] * N[Cos[N[(0.5 * K), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], -2.0], $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], U$95$m]]), $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}}\\
      J\_s \cdot \begin{array}{l}
      \mathbf{if}\;t\_1 \leq -\infty:\\
      \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\
      
      \mathbf{elif}\;t\_1 \leq 2 \cdot 10^{+302}:\\
      \;\;\;\;\left(\left(\cos \left(K \cdot -0.5\right) \cdot J\_m\right) \cdot -2\right) \cdot \sqrt{\mathsf{fma}\left(0.25, {\left(\frac{J\_m}{U\_m} \cdot \cos \left(0.5 \cdot K\right)\right)}^{-2}, 1\right)}\\
      
      \mathbf{else}:\\
      \;\;\;\;U\_m\\
      
      
      \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 8.4%

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

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

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

            \[\leadsto \color{blue}{\left(-2 \cdot \frac{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}{{U}^{2}} - 1\right) \cdot U} \]
        5. Applied rewrites49.2%

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

          \[\leadsto \left(-2 \cdot \frac{{J}^{2}}{{U}^{2}} - 1\right) \cdot U \]
        7. Step-by-step derivation
          1. Applied rewrites49.2%

            \[\leadsto \mathsf{fma}\left(\frac{\frac{J \cdot J}{U}}{U}, -2, -1\right) \cdot U \]

          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))))) < 2.0000000000000002e302

          1. Initial program 99.9%

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

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

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

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

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

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

              \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
            7. lower-*.f6499.9

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

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

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

              \[\leadsto \left(\left(\cos \left(\frac{K}{\color{blue}{\mathsf{neg}\left(-2\right)}}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
            11. distribute-neg-frac2N/A

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

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

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

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

              \[\leadsto \left(\left(\cos \color{blue}{\left(K \cdot \frac{1}{-2}\right)} \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
            16. metadata-eval99.9

              \[\leadsto \left(\left(\cos \left(K \cdot \color{blue}{-0.5}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
          4. Applied rewrites99.9%

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

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

              \[\leadsto \left(\left(\cos \left(K \cdot \frac{-1}{2}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2} + 1}} \]
            3. lower-+.f6499.9

              \[\leadsto \left(\left(\cos \left(K \cdot -0.5\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2} + 1}} \]
          6. Applied rewrites99.8%

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

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

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

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

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

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

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

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

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

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

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

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

              \[\leadsto \left(\left(\cos \left(K \cdot \frac{-1}{2}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{\color{blue}{\mathsf{fma}\left(\frac{1}{4}, {\left(\frac{J}{U} \cdot \cos \left(\frac{-1}{2} \cdot K\right)\right)}^{-2}, 1\right)}} \]
          8. Applied rewrites99.8%

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

          if 2.0000000000000002e302 < (*.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 12.7%

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

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

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

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

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

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

              \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
            7. lower-*.f6412.7

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

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

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

              \[\leadsto \left(\left(\cos \left(\frac{K}{\color{blue}{\mathsf{neg}\left(-2\right)}}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
            11. distribute-neg-frac2N/A

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

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

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

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

              \[\leadsto \left(\left(\cos \color{blue}{\left(K \cdot \frac{1}{-2}\right)} \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
            16. metadata-eval12.7

              \[\leadsto \left(\left(\cos \left(K \cdot \color{blue}{-0.5}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
          4. Applied rewrites12.7%

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

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

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

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

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

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

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

              \[\leadsto \frac{\cos \left(\frac{-1}{2} \cdot K\right) \cdot U}{\color{blue}{\cos \left(\frac{1}{2} \cdot K\right)}} \]
            7. lower-*.f6449.1

              \[\leadsto \frac{\cos \left(-0.5 \cdot K\right) \cdot U}{\cos \color{blue}{\left(0.5 \cdot K\right)}} \]
          7. Applied rewrites49.1%

            \[\leadsto \color{blue}{\frac{\cos \left(-0.5 \cdot K\right) \cdot U}{\cos \left(0.5 \cdot K\right)}} \]
          8. Step-by-step derivation
            1. Applied rewrites49.2%

              \[\leadsto U \cdot \color{blue}{\frac{\cos \left(0.5 \cdot K\right)}{\cos \left(0.5 \cdot K\right)}} \]
          9. Recombined 3 regimes into one program.
          10. Final simplification83.2%

            \[\leadsto \begin{array}{l} \mathbf{if}\;\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{J \cdot J}{U}}{U}, -2, -1\right) \cdot U\\ \mathbf{elif}\;\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \leq 2 \cdot 10^{+302}:\\ \;\;\;\;\left(\left(\cos \left(K \cdot -0.5\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{\mathsf{fma}\left(0.25, {\left(\frac{J}{U} \cdot \cos \left(0.5 \cdot K\right)\right)}^{-2}, 1\right)}\\ \mathbf{else}:\\ \;\;\;\;U\\ \end{array} \]
          11. Add Preprocessing

          Alternative 3: 90.8% accurate, 0.4× speedup?

          \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ t_1 := \left(-2 \cdot J\_m\right) \cdot t\_0\\ t_2 := t\_1 \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;t\_2 \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\ \mathbf{elif}\;t\_2 \leq 2 \cdot 10^{+302}:\\ \;\;\;\;t\_1 \cdot \sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U\_m}{J\_m}, \frac{U\_m}{J\_m}, 1\right)}\\ \mathbf{else}:\\ \;\;\;\;U\_m\\ \end{array} \end{array} \end{array} \]
          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))
                  (t_2 (* t_1 (sqrt (+ 1.0 (pow (/ U_m (* (* 2.0 J_m) t_0)) 2.0))))))
             (*
              J_s
              (if (<= t_2 (- INFINITY))
                (* (fma (/ (/ (* J_m J_m) U_m) U_m) -2.0 -1.0) U_m)
                (if (<= t_2 2e+302)
                  (* t_1 (sqrt (fma (/ (* 0.25 U_m) J_m) (/ U_m J_m) 1.0)))
                  U_m)))))
          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;
          	double t_2 = t_1 * sqrt((1.0 + pow((U_m / ((2.0 * J_m) * t_0)), 2.0)));
          	double tmp;
          	if (t_2 <= -((double) INFINITY)) {
          		tmp = fma((((J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m;
          	} else if (t_2 <= 2e+302) {
          		tmp = t_1 * sqrt(fma(((0.25 * U_m) / J_m), (U_m / J_m), 1.0));
          	} else {
          		tmp = U_m;
          	}
          	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(-2.0 * J_m) * t_0)
          	t_2 = Float64(t_1 * sqrt(Float64(1.0 + (Float64(U_m / Float64(Float64(2.0 * J_m) * t_0)) ^ 2.0))))
          	tmp = 0.0
          	if (t_2 <= Float64(-Inf))
          		tmp = Float64(fma(Float64(Float64(Float64(J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m);
          	elseif (t_2 <= 2e+302)
          		tmp = Float64(t_1 * sqrt(fma(Float64(Float64(0.25 * U_m) / J_m), Float64(U_m / J_m), 1.0)));
          	else
          		tmp = U_m;
          	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[(-2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * 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]}, N[(J$95$s * If[LessEqual[t$95$2, (-Infinity)], N[(N[(N[(N[(N[(J$95$m * J$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] * -2.0 + -1.0), $MachinePrecision] * U$95$m), $MachinePrecision], If[LessEqual[t$95$2, 2e+302], N[(t$95$1 * N[Sqrt[N[(N[(N[(0.25 * U$95$m), $MachinePrecision] / J$95$m), $MachinePrecision] * N[(U$95$m / J$95$m), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], U$95$m]]), $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(-2 \cdot J\_m\right) \cdot t\_0\\
          t_2 := t\_1 \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\
          J\_s \cdot \begin{array}{l}
          \mathbf{if}\;t\_2 \leq -\infty:\\
          \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\
          
          \mathbf{elif}\;t\_2 \leq 2 \cdot 10^{+302}:\\
          \;\;\;\;t\_1 \cdot \sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U\_m}{J\_m}, \frac{U\_m}{J\_m}, 1\right)}\\
          
          \mathbf{else}:\\
          \;\;\;\;U\_m\\
          
          
          \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 8.4%

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

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

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

                \[\leadsto \color{blue}{\left(-2 \cdot \frac{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}{{U}^{2}} - 1\right) \cdot U} \]
            5. Applied rewrites49.2%

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

              \[\leadsto \left(-2 \cdot \frac{{J}^{2}}{{U}^{2}} - 1\right) \cdot U \]
            7. Step-by-step derivation
              1. Applied rewrites49.2%

                \[\leadsto \mathsf{fma}\left(\frac{\frac{J \cdot J}{U}}{U}, -2, -1\right) \cdot U \]

              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))))) < 2.0000000000000002e302

              1. Initial program 99.9%

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

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

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

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

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

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

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

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

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

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

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

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\mathsf{fma}\left(\frac{\color{blue}{\frac{1}{4} \cdot U}}{J}, \frac{U}{J}, 1\right)} \]
                11. lower-/.f6486.2

                  \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U}{J}, \color{blue}{\frac{U}{J}}, 1\right)} \]
              5. Applied rewrites86.2%

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

              if 2.0000000000000002e302 < (*.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 12.7%

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

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

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

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

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

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

                  \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                7. lower-*.f6412.7

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

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

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

                  \[\leadsto \left(\left(\cos \left(\frac{K}{\color{blue}{\mathsf{neg}\left(-2\right)}}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                11. distribute-neg-frac2N/A

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

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

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

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

                  \[\leadsto \left(\left(\cos \color{blue}{\left(K \cdot \frac{1}{-2}\right)} \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                16. metadata-eval12.7

                  \[\leadsto \left(\left(\cos \left(K \cdot \color{blue}{-0.5}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
              4. Applied rewrites12.7%

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

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

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

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

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

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

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

                  \[\leadsto \frac{\cos \left(\frac{-1}{2} \cdot K\right) \cdot U}{\color{blue}{\cos \left(\frac{1}{2} \cdot K\right)}} \]
                7. lower-*.f6449.1

                  \[\leadsto \frac{\cos \left(-0.5 \cdot K\right) \cdot U}{\cos \color{blue}{\left(0.5 \cdot K\right)}} \]
              7. Applied rewrites49.1%

                \[\leadsto \color{blue}{\frac{\cos \left(-0.5 \cdot K\right) \cdot U}{\cos \left(0.5 \cdot K\right)}} \]
              8. Step-by-step derivation
                1. Applied rewrites49.2%

                  \[\leadsto U \cdot \color{blue}{\frac{\cos \left(0.5 \cdot K\right)}{\cos \left(0.5 \cdot K\right)}} \]
              9. Recombined 3 regimes into one program.
              10. Final simplification74.1%

                \[\leadsto \begin{array}{l} \mathbf{if}\;\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{J \cdot J}{U}}{U}, -2, -1\right) \cdot U\\ \mathbf{elif}\;\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \leq 2 \cdot 10^{+302}:\\ \;\;\;\;\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U}{J}, \frac{U}{J}, 1\right)}\\ \mathbf{else}:\\ \;\;\;\;U\\ \end{array} \]
              11. Add Preprocessing

              Alternative 4: 78.3% accurate, 0.4× speedup?

              \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ t_1 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;t\_1 \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\ \mathbf{elif}\;t\_1 \leq -1 \cdot 10^{+157}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U\_m}{J\_m}, \frac{U\_m}{J\_m}, 1\right)} \cdot \left(-2 \cdot J\_m\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\left(\cos \left(K \cdot -0.5\right) \cdot J\_m\right) \cdot -2\right) \cdot \sqrt{\mathsf{fma}\left(\frac{0.25}{J\_m}, \frac{U\_m \cdot U\_m}{J\_m}, 1\right)}\\ \end{array} \end{array} \end{array} \]
              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)))
                      (t_1
                       (*
                        (* (* -2.0 J_m) t_0)
                        (sqrt (+ 1.0 (pow (/ U_m (* (* 2.0 J_m) t_0)) 2.0))))))
                 (*
                  J_s
                  (if (<= t_1 (- INFINITY))
                    (* (fma (/ (/ (* J_m J_m) U_m) U_m) -2.0 -1.0) U_m)
                    (if (<= t_1 -1e+157)
                      (* (sqrt (fma (/ (* 0.25 U_m) J_m) (/ U_m J_m) 1.0)) (* -2.0 J_m))
                      (*
                       (* (* (cos (* K -0.5)) J_m) -2.0)
                       (sqrt (fma (/ 0.25 J_m) (/ (* U_m U_m) J_m) 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 = 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 tmp;
              	if (t_1 <= -((double) INFINITY)) {
              		tmp = fma((((J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m;
              	} else if (t_1 <= -1e+157) {
              		tmp = sqrt(fma(((0.25 * U_m) / J_m), (U_m / J_m), 1.0)) * (-2.0 * J_m);
              	} else {
              		tmp = ((cos((K * -0.5)) * J_m) * -2.0) * sqrt(fma((0.25 / J_m), ((U_m * U_m) / J_m), 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 = 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))))
              	tmp = 0.0
              	if (t_1 <= Float64(-Inf))
              		tmp = Float64(fma(Float64(Float64(Float64(J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m);
              	elseif (t_1 <= -1e+157)
              		tmp = Float64(sqrt(fma(Float64(Float64(0.25 * U_m) / J_m), Float64(U_m / J_m), 1.0)) * Float64(-2.0 * J_m));
              	else
              		tmp = Float64(Float64(Float64(cos(Float64(K * -0.5)) * J_m) * -2.0) * sqrt(fma(Float64(0.25 / J_m), Float64(Float64(U_m * U_m) / J_m), 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[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]}, N[(J$95$s * If[LessEqual[t$95$1, (-Infinity)], N[(N[(N[(N[(N[(J$95$m * J$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] * -2.0 + -1.0), $MachinePrecision] * U$95$m), $MachinePrecision], If[LessEqual[t$95$1, -1e+157], N[(N[Sqrt[N[(N[(N[(0.25 * U$95$m), $MachinePrecision] / J$95$m), $MachinePrecision] * N[(U$95$m / J$95$m), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision] * N[(-2.0 * J$95$m), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Cos[N[(K * -0.5), $MachinePrecision]], $MachinePrecision] * J$95$m), $MachinePrecision] * -2.0), $MachinePrecision] * N[Sqrt[N[(N[(0.25 / J$95$m), $MachinePrecision] * N[(N[(U$95$m * U$95$m), $MachinePrecision] / J$95$m), $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)
              
              \\
              \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}}\\
              J\_s \cdot \begin{array}{l}
              \mathbf{if}\;t\_1 \leq -\infty:\\
              \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\
              
              \mathbf{elif}\;t\_1 \leq -1 \cdot 10^{+157}:\\
              \;\;\;\;\sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U\_m}{J\_m}, \frac{U\_m}{J\_m}, 1\right)} \cdot \left(-2 \cdot J\_m\right)\\
              
              \mathbf{else}:\\
              \;\;\;\;\left(\left(\cos \left(K \cdot -0.5\right) \cdot J\_m\right) \cdot -2\right) \cdot \sqrt{\mathsf{fma}\left(\frac{0.25}{J\_m}, \frac{U\_m \cdot U\_m}{J\_m}, 1\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 8.4%

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

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

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

                    \[\leadsto \color{blue}{\left(-2 \cdot \frac{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}{{U}^{2}} - 1\right) \cdot U} \]
                5. Applied rewrites49.2%

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

                  \[\leadsto \left(-2 \cdot \frac{{J}^{2}}{{U}^{2}} - 1\right) \cdot U \]
                7. Step-by-step derivation
                  1. Applied rewrites49.2%

                    \[\leadsto \mathsf{fma}\left(\frac{\frac{J \cdot J}{U}}{U}, -2, -1\right) \cdot U \]

                  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))))) < -9.99999999999999983e156

                  1. Initial program 99.9%

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

                    \[\leadsto \color{blue}{-2 \cdot \left(J \cdot \sqrt{1 + \frac{1}{4} \cdot \frac{{U}^{2}}{{J}^{2}}}\right)} \]
                  4. Step-by-step derivation
                    1. associate-*r*N/A

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

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

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

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

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

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

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

                      \[\leadsto \sqrt{\frac{\frac{1}{4} \cdot \color{blue}{\left(U \cdot U\right)}}{J \cdot J} + 1} \cdot \left(-2 \cdot J\right) \]
                    9. associate-*r*N/A

                      \[\leadsto \sqrt{\frac{\color{blue}{\left(\frac{1}{4} \cdot U\right) \cdot U}}{J \cdot J} + 1} \cdot \left(-2 \cdot J\right) \]
                    10. times-fracN/A

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

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

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

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

                      \[\leadsto \sqrt{\mathsf{fma}\left(\frac{\frac{1}{4} \cdot U}{J}, \color{blue}{\frac{U}{J}}, 1\right)} \cdot \left(-2 \cdot J\right) \]
                    15. lower-*.f6465.6

                      \[\leadsto \sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U}{J}, \frac{U}{J}, 1\right)} \cdot \color{blue}{\left(-2 \cdot J\right)} \]
                  5. Applied rewrites65.6%

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

                  if -9.99999999999999983e156 < (*.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 80.8%

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

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

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

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

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

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

                      \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                    7. lower-*.f6480.8

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

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

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

                      \[\leadsto \left(\left(\cos \left(\frac{K}{\color{blue}{\mathsf{neg}\left(-2\right)}}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                    11. distribute-neg-frac2N/A

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

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

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

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

                      \[\leadsto \left(\left(\cos \color{blue}{\left(K \cdot \frac{1}{-2}\right)} \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                    16. metadata-eval80.8

                      \[\leadsto \left(\left(\cos \left(K \cdot \color{blue}{-0.5}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                  4. Applied rewrites80.8%

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

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

                      \[\leadsto \left(\left(\cos \left(K \cdot \frac{-1}{2}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2} + 1}} \]
                    3. lower-+.f6480.8

                      \[\leadsto \left(\left(\cos \left(K \cdot -0.5\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{\color{blue}{{\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2} + 1}} \]
                  6. Applied rewrites80.7%

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

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

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

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

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

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

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

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

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

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

                      \[\leadsto \left(\left(\cos \left(K \cdot \frac{-1}{2}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{\mathsf{fma}\left(\frac{\frac{1}{4}}{J}, \frac{\color{blue}{U \cdot U}}{J}, 1\right)} \]
                    10. lower-*.f6464.5

                      \[\leadsto \left(\left(\cos \left(K \cdot -0.5\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{\mathsf{fma}\left(\frac{0.25}{J}, \frac{\color{blue}{U \cdot U}}{J}, 1\right)} \]
                  9. Applied rewrites64.5%

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

                Alternative 5: 76.9% accurate, 0.4× speedup?

                \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ t_1 := \left(-2 \cdot J\_m\right) \cdot t\_0\\ t_2 := t\_1 \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;t\_2 \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\ \mathbf{elif}\;t\_2 \leq -5 \cdot 10^{-207}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U\_m}{J\_m}, \frac{U\_m}{J\_m}, 1\right)} \cdot \left(-2 \cdot J\_m\right)\\ \mathbf{else}:\\ \;\;\;\;t\_1 \cdot \mathsf{fma}\left(U\_m \cdot \frac{\frac{U\_m}{J\_m}}{J\_m}, 0.125, 1\right)\\ \end{array} \end{array} \end{array} \]
                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)))
                        (t_1 (* (* -2.0 J_m) t_0))
                        (t_2 (* t_1 (sqrt (+ 1.0 (pow (/ U_m (* (* 2.0 J_m) t_0)) 2.0))))))
                   (*
                    J_s
                    (if (<= t_2 (- INFINITY))
                      (* (fma (/ (/ (* J_m J_m) U_m) U_m) -2.0 -1.0) U_m)
                      (if (<= t_2 -5e-207)
                        (* (sqrt (fma (/ (* 0.25 U_m) J_m) (/ U_m J_m) 1.0)) (* -2.0 J_m))
                        (* t_1 (fma (* U_m (/ (/ U_m J_m) J_m)) 0.125 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 = cos((K / 2.0));
                	double t_1 = (-2.0 * J_m) * t_0;
                	double t_2 = t_1 * sqrt((1.0 + pow((U_m / ((2.0 * J_m) * t_0)), 2.0)));
                	double tmp;
                	if (t_2 <= -((double) INFINITY)) {
                		tmp = fma((((J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m;
                	} else if (t_2 <= -5e-207) {
                		tmp = sqrt(fma(((0.25 * U_m) / J_m), (U_m / J_m), 1.0)) * (-2.0 * J_m);
                	} else {
                		tmp = t_1 * fma((U_m * ((U_m / J_m) / J_m)), 0.125, 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 = cos(Float64(K / 2.0))
                	t_1 = Float64(Float64(-2.0 * J_m) * t_0)
                	t_2 = Float64(t_1 * sqrt(Float64(1.0 + (Float64(U_m / Float64(Float64(2.0 * J_m) * t_0)) ^ 2.0))))
                	tmp = 0.0
                	if (t_2 <= Float64(-Inf))
                		tmp = Float64(fma(Float64(Float64(Float64(J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m);
                	elseif (t_2 <= -5e-207)
                		tmp = Float64(sqrt(fma(Float64(Float64(0.25 * U_m) / J_m), Float64(U_m / J_m), 1.0)) * Float64(-2.0 * J_m));
                	else
                		tmp = Float64(t_1 * fma(Float64(U_m * Float64(Float64(U_m / J_m) / J_m)), 0.125, 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[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(-2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * 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]}, N[(J$95$s * If[LessEqual[t$95$2, (-Infinity)], N[(N[(N[(N[(N[(J$95$m * J$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] * -2.0 + -1.0), $MachinePrecision] * U$95$m), $MachinePrecision], If[LessEqual[t$95$2, -5e-207], N[(N[Sqrt[N[(N[(N[(0.25 * U$95$m), $MachinePrecision] / J$95$m), $MachinePrecision] * N[(U$95$m / J$95$m), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision] * N[(-2.0 * J$95$m), $MachinePrecision]), $MachinePrecision], N[(t$95$1 * N[(N[(U$95$m * N[(N[(U$95$m / J$95$m), $MachinePrecision] / J$95$m), $MachinePrecision]), $MachinePrecision] * 0.125 + 1.0), $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)\\
                t_1 := \left(-2 \cdot J\_m\right) \cdot t\_0\\
                t_2 := t\_1 \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\
                J\_s \cdot \begin{array}{l}
                \mathbf{if}\;t\_2 \leq -\infty:\\
                \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\
                
                \mathbf{elif}\;t\_2 \leq -5 \cdot 10^{-207}:\\
                \;\;\;\;\sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U\_m}{J\_m}, \frac{U\_m}{J\_m}, 1\right)} \cdot \left(-2 \cdot J\_m\right)\\
                
                \mathbf{else}:\\
                \;\;\;\;t\_1 \cdot \mathsf{fma}\left(U\_m \cdot \frac{\frac{U\_m}{J\_m}}{J\_m}, 0.125, 1\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 8.4%

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

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

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

                      \[\leadsto \color{blue}{\left(-2 \cdot \frac{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}{{U}^{2}} - 1\right) \cdot U} \]
                  5. Applied rewrites49.2%

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

                    \[\leadsto \left(-2 \cdot \frac{{J}^{2}}{{U}^{2}} - 1\right) \cdot U \]
                  7. Step-by-step derivation
                    1. Applied rewrites49.2%

                      \[\leadsto \mathsf{fma}\left(\frac{\frac{J \cdot J}{U}}{U}, -2, -1\right) \cdot U \]

                    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))))) < -5.00000000000000014e-207

                    1. Initial program 99.9%

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

                      \[\leadsto \color{blue}{-2 \cdot \left(J \cdot \sqrt{1 + \frac{1}{4} \cdot \frac{{U}^{2}}{{J}^{2}}}\right)} \]
                    4. Step-by-step derivation
                      1. associate-*r*N/A

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

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

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

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

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

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

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

                        \[\leadsto \sqrt{\frac{\frac{1}{4} \cdot \color{blue}{\left(U \cdot U\right)}}{J \cdot J} + 1} \cdot \left(-2 \cdot J\right) \]
                      9. associate-*r*N/A

                        \[\leadsto \sqrt{\frac{\color{blue}{\left(\frac{1}{4} \cdot U\right) \cdot U}}{J \cdot J} + 1} \cdot \left(-2 \cdot J\right) \]
                      10. times-fracN/A

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

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

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

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

                        \[\leadsto \sqrt{\mathsf{fma}\left(\frac{\frac{1}{4} \cdot U}{J}, \color{blue}{\frac{U}{J}}, 1\right)} \cdot \left(-2 \cdot J\right) \]
                      15. lower-*.f6464.8

                        \[\leadsto \sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U}{J}, \frac{U}{J}, 1\right)} \cdot \color{blue}{\left(-2 \cdot J\right)} \]
                    5. Applied rewrites64.8%

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

                    if -5.00000000000000014e-207 < (*.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 71.3%

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

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

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

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

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

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

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

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

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

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

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

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\mathsf{fma}\left(\frac{\color{blue}{\frac{1}{4} \cdot U}}{J}, \frac{U}{J}, 1\right)} \]
                      11. lower-/.f6463.4

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U}{J}, \color{blue}{\frac{U}{J}}, 1\right)} \]
                    5. Applied rewrites63.4%

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

                      \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \left(1 + \color{blue}{\frac{1}{8} \cdot \frac{{U}^{2}}{{J}^{2}}}\right) \]
                    7. Step-by-step derivation
                      1. Applied rewrites57.3%

                        \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \mathsf{fma}\left(U \cdot \frac{\frac{U}{J}}{J}, \color{blue}{0.125}, 1\right) \]
                    8. Recombined 3 regimes into one program.
                    9. Add Preprocessing

                    Alternative 6: 76.7% accurate, 0.4× speedup?

                    \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ t_1 := \left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}}\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;t\_1 \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\ \mathbf{elif}\;t\_1 \leq -5 \cdot 10^{-207}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U\_m}{J\_m}, \frac{U\_m}{J\_m}, 1\right)} \cdot \left(-2 \cdot J\_m\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\left(\cos \left(K \cdot -0.5\right) \cdot J\_m\right) \cdot -2\right) \cdot 1\\ \end{array} \end{array} \end{array} \]
                    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 (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))))))
                       (*
                        J_s
                        (if (<= t_1 (- INFINITY))
                          (* (fma (/ (/ (* J_m J_m) U_m) U_m) -2.0 -1.0) U_m)
                          (if (<= t_1 -5e-207)
                            (* (sqrt (fma (/ (* 0.25 U_m) J_m) (/ U_m J_m) 1.0)) (* -2.0 J_m))
                            (* (* (* (cos (* K -0.5)) 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 = 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 tmp;
                    	if (t_1 <= -((double) INFINITY)) {
                    		tmp = fma((((J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m;
                    	} else if (t_1 <= -5e-207) {
                    		tmp = sqrt(fma(((0.25 * U_m) / J_m), (U_m / J_m), 1.0)) * (-2.0 * J_m);
                    	} else {
                    		tmp = ((cos((K * -0.5)) * 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 = 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))))
                    	tmp = 0.0
                    	if (t_1 <= Float64(-Inf))
                    		tmp = Float64(fma(Float64(Float64(Float64(J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m);
                    	elseif (t_1 <= -5e-207)
                    		tmp = Float64(sqrt(fma(Float64(Float64(0.25 * U_m) / J_m), Float64(U_m / J_m), 1.0)) * Float64(-2.0 * J_m));
                    	else
                    		tmp = Float64(Float64(Float64(cos(Float64(K * -0.5)) * 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[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]}, N[(J$95$s * If[LessEqual[t$95$1, (-Infinity)], N[(N[(N[(N[(N[(J$95$m * J$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] * -2.0 + -1.0), $MachinePrecision] * U$95$m), $MachinePrecision], If[LessEqual[t$95$1, -5e-207], N[(N[Sqrt[N[(N[(N[(0.25 * U$95$m), $MachinePrecision] / J$95$m), $MachinePrecision] * N[(U$95$m / J$95$m), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision] * N[(-2.0 * J$95$m), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[Cos[N[(K * -0.5), $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 := \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}}\\
                    J\_s \cdot \begin{array}{l}
                    \mathbf{if}\;t\_1 \leq -\infty:\\
                    \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\
                    
                    \mathbf{elif}\;t\_1 \leq -5 \cdot 10^{-207}:\\
                    \;\;\;\;\sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U\_m}{J\_m}, \frac{U\_m}{J\_m}, 1\right)} \cdot \left(-2 \cdot J\_m\right)\\
                    
                    \mathbf{else}:\\
                    \;\;\;\;\left(\left(\cos \left(K \cdot -0.5\right) \cdot J\_m\right) \cdot -2\right) \cdot 1\\
                    
                    
                    \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 8.4%

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

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

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

                          \[\leadsto \color{blue}{\left(-2 \cdot \frac{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}{{U}^{2}} - 1\right) \cdot U} \]
                      5. Applied rewrites49.2%

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

                        \[\leadsto \left(-2 \cdot \frac{{J}^{2}}{{U}^{2}} - 1\right) \cdot U \]
                      7. Step-by-step derivation
                        1. Applied rewrites49.2%

                          \[\leadsto \mathsf{fma}\left(\frac{\frac{J \cdot J}{U}}{U}, -2, -1\right) \cdot U \]

                        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))))) < -5.00000000000000014e-207

                        1. Initial program 99.9%

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

                          \[\leadsto \color{blue}{-2 \cdot \left(J \cdot \sqrt{1 + \frac{1}{4} \cdot \frac{{U}^{2}}{{J}^{2}}}\right)} \]
                        4. Step-by-step derivation
                          1. associate-*r*N/A

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

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

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

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

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

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

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

                            \[\leadsto \sqrt{\frac{\frac{1}{4} \cdot \color{blue}{\left(U \cdot U\right)}}{J \cdot J} + 1} \cdot \left(-2 \cdot J\right) \]
                          9. associate-*r*N/A

                            \[\leadsto \sqrt{\frac{\color{blue}{\left(\frac{1}{4} \cdot U\right) \cdot U}}{J \cdot J} + 1} \cdot \left(-2 \cdot J\right) \]
                          10. times-fracN/A

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

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

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

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

                            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{\frac{1}{4} \cdot U}{J}, \color{blue}{\frac{U}{J}}, 1\right)} \cdot \left(-2 \cdot J\right) \]
                          15. lower-*.f6464.8

                            \[\leadsto \sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U}{J}, \frac{U}{J}, 1\right)} \cdot \color{blue}{\left(-2 \cdot J\right)} \]
                        5. Applied rewrites64.8%

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

                        if -5.00000000000000014e-207 < (*.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 71.3%

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

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

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

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

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

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

                            \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                          7. lower-*.f6471.3

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

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

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

                            \[\leadsto \left(\left(\cos \left(\frac{K}{\color{blue}{\mathsf{neg}\left(-2\right)}}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                          11. distribute-neg-frac2N/A

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

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

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

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

                            \[\leadsto \left(\left(\cos \color{blue}{\left(K \cdot \frac{1}{-2}\right)} \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                          16. metadata-eval71.3

                            \[\leadsto \left(\left(\cos \left(K \cdot \color{blue}{-0.5}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                        4. Applied rewrites71.3%

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

                          \[\leadsto \left(\left(\cos \left(K \cdot \frac{-1}{2}\right) \cdot J\right) \cdot -2\right) \cdot \color{blue}{1} \]
                        6. Step-by-step derivation
                          1. Applied rewrites56.7%

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

                        Alternative 7: 84.1% accurate, 0.7× speedup?

                        \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ t_1 := \left(-2 \cdot J\_m\right) \cdot t\_0\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;t\_1 \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}} \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\ \mathbf{else}:\\ \;\;\;\;t\_1 \cdot \sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U\_m}{J\_m}, \frac{U\_m}{J\_m}, 1\right)}\\ \end{array} \end{array} \end{array} \]
                        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))) (t_1 (* (* -2.0 J_m) t_0)))
                           (*
                            J_s
                            (if (<=
                                 (* t_1 (sqrt (+ 1.0 (pow (/ U_m (* (* 2.0 J_m) t_0)) 2.0))))
                                 (- INFINITY))
                              (* (fma (/ (/ (* J_m J_m) U_m) U_m) -2.0 -1.0) U_m)
                              (* t_1 (sqrt (fma (/ (* 0.25 U_m) J_m) (/ U_m J_m) 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 = cos((K / 2.0));
                        	double t_1 = (-2.0 * J_m) * t_0;
                        	double tmp;
                        	if ((t_1 * sqrt((1.0 + pow((U_m / ((2.0 * J_m) * t_0)), 2.0)))) <= -((double) INFINITY)) {
                        		tmp = fma((((J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m;
                        	} else {
                        		tmp = t_1 * sqrt(fma(((0.25 * U_m) / J_m), (U_m / J_m), 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 = cos(Float64(K / 2.0))
                        	t_1 = Float64(Float64(-2.0 * J_m) * t_0)
                        	tmp = 0.0
                        	if (Float64(t_1 * sqrt(Float64(1.0 + (Float64(U_m / Float64(Float64(2.0 * J_m) * t_0)) ^ 2.0)))) <= Float64(-Inf))
                        		tmp = Float64(fma(Float64(Float64(Float64(J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m);
                        	else
                        		tmp = Float64(t_1 * sqrt(fma(Float64(Float64(0.25 * U_m) / J_m), Float64(U_m / J_m), 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[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(-2.0 * J$95$m), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(J$95$s * If[LessEqual[N[(t$95$1 * 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], (-Infinity)], N[(N[(N[(N[(N[(J$95$m * J$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] * -2.0 + -1.0), $MachinePrecision] * U$95$m), $MachinePrecision], N[(t$95$1 * N[Sqrt[N[(N[(N[(0.25 * U$95$m), $MachinePrecision] / J$95$m), $MachinePrecision] * N[(U$95$m / J$95$m), $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)
                        
                        \\
                        \begin{array}{l}
                        t_0 := \cos \left(\frac{K}{2}\right)\\
                        t_1 := \left(-2 \cdot J\_m\right) \cdot t\_0\\
                        J\_s \cdot \begin{array}{l}
                        \mathbf{if}\;t\_1 \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}} \leq -\infty:\\
                        \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\
                        
                        \mathbf{else}:\\
                        \;\;\;\;t\_1 \cdot \sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U\_m}{J\_m}, \frac{U\_m}{J\_m}, 1\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))))) < -inf.0

                          1. Initial program 8.4%

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

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

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

                              \[\leadsto \color{blue}{\left(-2 \cdot \frac{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}{{U}^{2}} - 1\right) \cdot U} \]
                          5. Applied rewrites49.2%

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

                            \[\leadsto \left(-2 \cdot \frac{{J}^{2}}{{U}^{2}} - 1\right) \cdot U \]
                          7. Step-by-step derivation
                            1. Applied rewrites49.2%

                              \[\leadsto \mathsf{fma}\left(\frac{\frac{J \cdot J}{U}}{U}, -2, -1\right) \cdot U \]

                            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)))))

                            1. Initial program 83.7%

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

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

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

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

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

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

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

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

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

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

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

                                \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\mathsf{fma}\left(\frac{\color{blue}{\frac{1}{4} \cdot U}}{J}, \frac{U}{J}, 1\right)} \]
                              11. lower-/.f6472.6

                                \[\leadsto \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U}{J}, \color{blue}{\frac{U}{J}}, 1\right)} \]
                            5. Applied rewrites72.6%

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

                          Alternative 8: 65.2% accurate, 0.9× speedup?

                          \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ J\_s \cdot \begin{array}{l} \mathbf{if}\;\left(\left(-2 \cdot J\_m\right) \cdot t\_0\right) \cdot \sqrt{1 + {\left(\frac{U\_m}{\left(2 \cdot J\_m\right) \cdot t\_0}\right)}^{2}} \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U\_m}{J\_m}, \frac{U\_m}{J\_m}, 1\right)} \cdot \left(-2 \cdot J\_m\right)\\ \end{array} \end{array} \end{array} \]
                          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))))
                                   (- INFINITY))
                                (* (fma (/ (/ (* J_m J_m) U_m) U_m) -2.0 -1.0) U_m)
                                (* (sqrt (fma (/ (* 0.25 U_m) J_m) (/ U_m J_m) 1.0)) (* -2.0 J_m))))))
                          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)))) <= -((double) INFINITY)) {
                          		tmp = fma((((J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m;
                          	} else {
                          		tmp = sqrt(fma(((0.25 * U_m) / J_m), (U_m / J_m), 1.0)) * (-2.0 * J_m);
                          	}
                          	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)))) <= Float64(-Inf))
                          		tmp = Float64(fma(Float64(Float64(Float64(J_m * J_m) / U_m) / U_m), -2.0, -1.0) * U_m);
                          	else
                          		tmp = Float64(sqrt(fma(Float64(Float64(0.25 * U_m) / J_m), Float64(U_m / J_m), 1.0)) * Float64(-2.0 * J_m));
                          	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]}, 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], (-Infinity)], N[(N[(N[(N[(N[(J$95$m * J$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] / U$95$m), $MachinePrecision] * -2.0 + -1.0), $MachinePrecision] * U$95$m), $MachinePrecision], N[(N[Sqrt[N[(N[(N[(0.25 * U$95$m), $MachinePrecision] / J$95$m), $MachinePrecision] * N[(U$95$m / J$95$m), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision] * N[(-2.0 * J$95$m), $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 -\infty:\\
                          \;\;\;\;\mathsf{fma}\left(\frac{\frac{J\_m \cdot J\_m}{U\_m}}{U\_m}, -2, -1\right) \cdot U\_m\\
                          
                          \mathbf{else}:\\
                          \;\;\;\;\sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U\_m}{J\_m}, \frac{U\_m}{J\_m}, 1\right)} \cdot \left(-2 \cdot J\_m\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))))) < -inf.0

                            1. Initial program 8.4%

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

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

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

                                \[\leadsto \color{blue}{\left(-2 \cdot \frac{{J}^{2} \cdot {\cos \left(\frac{1}{2} \cdot K\right)}^{2}}{{U}^{2}} - 1\right) \cdot U} \]
                            5. Applied rewrites49.2%

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

                              \[\leadsto \left(-2 \cdot \frac{{J}^{2}}{{U}^{2}} - 1\right) \cdot U \]
                            7. Step-by-step derivation
                              1. Applied rewrites49.2%

                                \[\leadsto \mathsf{fma}\left(\frac{\frac{J \cdot J}{U}}{U}, -2, -1\right) \cdot U \]

                              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)))))

                              1. Initial program 83.7%

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

                                \[\leadsto \color{blue}{-2 \cdot \left(J \cdot \sqrt{1 + \frac{1}{4} \cdot \frac{{U}^{2}}{{J}^{2}}}\right)} \]
                              4. Step-by-step derivation
                                1. associate-*r*N/A

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

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

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

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

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

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

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

                                  \[\leadsto \sqrt{\frac{\frac{1}{4} \cdot \color{blue}{\left(U \cdot U\right)}}{J \cdot J} + 1} \cdot \left(-2 \cdot J\right) \]
                                9. associate-*r*N/A

                                  \[\leadsto \sqrt{\frac{\color{blue}{\left(\frac{1}{4} \cdot U\right) \cdot U}}{J \cdot J} + 1} \cdot \left(-2 \cdot J\right) \]
                                10. times-fracN/A

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

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

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

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

                                  \[\leadsto \sqrt{\mathsf{fma}\left(\frac{\frac{1}{4} \cdot U}{J}, \color{blue}{\frac{U}{J}}, 1\right)} \cdot \left(-2 \cdot J\right) \]
                                15. lower-*.f6453.0

                                  \[\leadsto \sqrt{\mathsf{fma}\left(\frac{0.25 \cdot U}{J}, \frac{U}{J}, 1\right)} \cdot \color{blue}{\left(-2 \cdot J\right)} \]
                              5. Applied rewrites53.0%

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

                            Alternative 9: 48.1% accurate, 8.5× speedup?

                            \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ J\_s \cdot \begin{array}{l} \mathbf{if}\;U\_m \leq 10.5:\\ \;\;\;\;\mathsf{fma}\left(\left(J\_m \cdot \mathsf{fma}\left(K \cdot K, -0.005208333333333333, 0.25\right)\right) \cdot K, K, -2 \cdot J\_m\right) \cdot 1\\ \mathbf{else}:\\ \;\;\;\;-U\_m\\ \end{array} \end{array} \]
                            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 (<= U_m 10.5)
                                (*
                                 (fma
                                  (* (* J_m (fma (* K K) -0.005208333333333333 0.25)) K)
                                  K
                                  (* -2.0 J_m))
                                 1.0)
                                (- U_m))))
                            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 (U_m <= 10.5) {
                            		tmp = fma(((J_m * fma((K * K), -0.005208333333333333, 0.25)) * K), K, (-2.0 * J_m)) * 1.0;
                            	} else {
                            		tmp = -U_m;
                            	}
                            	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 (U_m <= 10.5)
                            		tmp = Float64(fma(Float64(Float64(J_m * fma(Float64(K * K), -0.005208333333333333, 0.25)) * K), K, Float64(-2.0 * J_m)) * 1.0);
                            	else
                            		tmp = Float64(-U_m);
                            	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_] := N[(J$95$s * If[LessEqual[U$95$m, 10.5], N[(N[(N[(N[(J$95$m * N[(N[(K * K), $MachinePrecision] * -0.005208333333333333 + 0.25), $MachinePrecision]), $MachinePrecision] * K), $MachinePrecision] * K + N[(-2.0 * J$95$m), $MachinePrecision]), $MachinePrecision] * 1.0), $MachinePrecision], (-U$95$m)]), $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}\;U\_m \leq 10.5:\\
                            \;\;\;\;\mathsf{fma}\left(\left(J\_m \cdot \mathsf{fma}\left(K \cdot K, -0.005208333333333333, 0.25\right)\right) \cdot K, K, -2 \cdot J\_m\right) \cdot 1\\
                            
                            \mathbf{else}:\\
                            \;\;\;\;-U\_m\\
                            
                            
                            \end{array}
                            \end{array}
                            
                            Derivation
                            1. Split input into 2 regimes
                            2. if U < 10.5

                              1. Initial program 79.1%

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

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

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

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

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

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

                                  \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                                7. lower-*.f6479.1

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

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

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

                                  \[\leadsto \left(\left(\cos \left(\frac{K}{\color{blue}{\mathsf{neg}\left(-2\right)}}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                                11. distribute-neg-frac2N/A

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

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

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

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

                                  \[\leadsto \left(\left(\cos \color{blue}{\left(K \cdot \frac{1}{-2}\right)} \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                                16. metadata-eval79.1

                                  \[\leadsto \left(\left(\cos \left(K \cdot \color{blue}{-0.5}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                              4. Applied rewrites79.1%

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

                                \[\leadsto \left(\left(\cos \left(K \cdot \frac{-1}{2}\right) \cdot J\right) \cdot -2\right) \cdot \color{blue}{1} \]
                              6. Step-by-step derivation
                                1. Applied rewrites61.0%

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

                                  \[\leadsto \color{blue}{\left(-2 \cdot J + {K}^{2} \cdot \left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right)\right)} \cdot 1 \]
                                3. Step-by-step derivation
                                  1. +-commutativeN/A

                                    \[\leadsto \color{blue}{\left({K}^{2} \cdot \left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) + -2 \cdot J\right)} \cdot 1 \]
                                  2. *-commutativeN/A

                                    \[\leadsto \left(\color{blue}{\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot {K}^{2}} + -2 \cdot J\right) \cdot 1 \]
                                  3. unpow2N/A

                                    \[\leadsto \left(\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot \color{blue}{\left(K \cdot K\right)} + -2 \cdot J\right) \cdot 1 \]
                                  4. associate-*r*N/A

                                    \[\leadsto \left(\color{blue}{\left(\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot K\right) \cdot K} + -2 \cdot J\right) \cdot 1 \]
                                  5. lower-fma.f64N/A

                                    \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right)} \cdot 1 \]
                                  6. lower-*.f64N/A

                                    \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot K}, K, -2 \cdot J\right) \cdot 1 \]
                                  7. lower-fma.f64N/A

                                    \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(\frac{-1}{192}, J \cdot {K}^{2}, \frac{1}{4} \cdot J\right)} \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                  8. *-commutativeN/A

                                    \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \color{blue}{{K}^{2} \cdot J}, \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                  9. lower-*.f64N/A

                                    \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \color{blue}{{K}^{2} \cdot J}, \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                  10. unpow2N/A

                                    \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \color{blue}{\left(K \cdot K\right)} \cdot J, \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                  11. lower-*.f64N/A

                                    \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \color{blue}{\left(K \cdot K\right)} \cdot J, \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                  12. lower-*.f64N/A

                                    \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \left(K \cdot K\right) \cdot J, \color{blue}{\frac{1}{4} \cdot J}\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                  13. lower-*.f6435.4

                                    \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(-0.005208333333333333, \left(K \cdot K\right) \cdot J, 0.25 \cdot J\right) \cdot K, K, \color{blue}{-2 \cdot J}\right) \cdot 1 \]
                                4. Applied rewrites35.4%

                                  \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-0.005208333333333333, \left(K \cdot K\right) \cdot J, 0.25 \cdot J\right) \cdot K, K, -2 \cdot J\right)} \cdot 1 \]
                                5. Step-by-step derivation
                                  1. Applied rewrites35.4%

                                    \[\leadsto \mathsf{fma}\left(\left(J \cdot \mathsf{fma}\left(K \cdot K, -0.005208333333333333, 0.25\right)\right) \cdot K, \color{blue}{K}, -2 \cdot J\right) \cdot 1 \]

                                  if 10.5 < U

                                  1. Initial program 47.8%

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

                                    \[\leadsto \color{blue}{-1 \cdot U} \]
                                  4. Step-by-step derivation
                                    1. mul-1-negN/A

                                      \[\leadsto \color{blue}{\mathsf{neg}\left(U\right)} \]
                                    2. lower-neg.f6447.9

                                      \[\leadsto \color{blue}{-U} \]
                                  5. Applied rewrites47.9%

                                    \[\leadsto \color{blue}{-U} \]
                                6. Recombined 2 regimes into one program.
                                7. Add Preprocessing

                                Alternative 10: 48.1% accurate, 9.6× speedup?

                                \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ J\_s \cdot \begin{array}{l} \mathbf{if}\;U\_m \leq 10.5:\\ \;\;\;\;\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.005208333333333333, K \cdot K, 0.25\right), K \cdot K, -2\right) \cdot J\_m\right) \cdot 1\\ \mathbf{else}:\\ \;\;\;\;-U\_m\\ \end{array} \end{array} \]
                                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 (<= U_m 10.5)
                                    (* (* (fma (fma -0.005208333333333333 (* K K) 0.25) (* K K) -2.0) J_m) 1.0)
                                    (- U_m))))
                                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 (U_m <= 10.5) {
                                		tmp = (fma(fma(-0.005208333333333333, (K * K), 0.25), (K * K), -2.0) * J_m) * 1.0;
                                	} else {
                                		tmp = -U_m;
                                	}
                                	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 (U_m <= 10.5)
                                		tmp = Float64(Float64(fma(fma(-0.005208333333333333, Float64(K * K), 0.25), Float64(K * K), -2.0) * J_m) * 1.0);
                                	else
                                		tmp = Float64(-U_m);
                                	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_] := N[(J$95$s * If[LessEqual[U$95$m, 10.5], N[(N[(N[(N[(-0.005208333333333333 * N[(K * K), $MachinePrecision] + 0.25), $MachinePrecision] * N[(K * K), $MachinePrecision] + -2.0), $MachinePrecision] * J$95$m), $MachinePrecision] * 1.0), $MachinePrecision], (-U$95$m)]), $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}\;U\_m \leq 10.5:\\
                                \;\;\;\;\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.005208333333333333, K \cdot K, 0.25\right), K \cdot K, -2\right) \cdot J\_m\right) \cdot 1\\
                                
                                \mathbf{else}:\\
                                \;\;\;\;-U\_m\\
                                
                                
                                \end{array}
                                \end{array}
                                
                                Derivation
                                1. Split input into 2 regimes
                                2. if U < 10.5

                                  1. Initial program 79.1%

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

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

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

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

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

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

                                      \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                                    7. lower-*.f6479.1

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

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

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

                                      \[\leadsto \left(\left(\cos \left(\frac{K}{\color{blue}{\mathsf{neg}\left(-2\right)}}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                                    11. distribute-neg-frac2N/A

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

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

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

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

                                      \[\leadsto \left(\left(\cos \color{blue}{\left(K \cdot \frac{1}{-2}\right)} \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                                    16. metadata-eval79.1

                                      \[\leadsto \left(\left(\cos \left(K \cdot \color{blue}{-0.5}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                                  4. Applied rewrites79.1%

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

                                    \[\leadsto \left(\left(\cos \left(K \cdot \frac{-1}{2}\right) \cdot J\right) \cdot -2\right) \cdot \color{blue}{1} \]
                                  6. Step-by-step derivation
                                    1. Applied rewrites61.0%

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

                                      \[\leadsto \color{blue}{\left(-2 \cdot J + {K}^{2} \cdot \left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right)\right)} \cdot 1 \]
                                    3. Step-by-step derivation
                                      1. +-commutativeN/A

                                        \[\leadsto \color{blue}{\left({K}^{2} \cdot \left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) + -2 \cdot J\right)} \cdot 1 \]
                                      2. *-commutativeN/A

                                        \[\leadsto \left(\color{blue}{\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot {K}^{2}} + -2 \cdot J\right) \cdot 1 \]
                                      3. unpow2N/A

                                        \[\leadsto \left(\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot \color{blue}{\left(K \cdot K\right)} + -2 \cdot J\right) \cdot 1 \]
                                      4. associate-*r*N/A

                                        \[\leadsto \left(\color{blue}{\left(\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot K\right) \cdot K} + -2 \cdot J\right) \cdot 1 \]
                                      5. lower-fma.f64N/A

                                        \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right)} \cdot 1 \]
                                      6. lower-*.f64N/A

                                        \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot K}, K, -2 \cdot J\right) \cdot 1 \]
                                      7. lower-fma.f64N/A

                                        \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(\frac{-1}{192}, J \cdot {K}^{2}, \frac{1}{4} \cdot J\right)} \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                      8. *-commutativeN/A

                                        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \color{blue}{{K}^{2} \cdot J}, \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                      9. lower-*.f64N/A

                                        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \color{blue}{{K}^{2} \cdot J}, \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                      10. unpow2N/A

                                        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \color{blue}{\left(K \cdot K\right)} \cdot J, \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                      11. lower-*.f64N/A

                                        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \color{blue}{\left(K \cdot K\right)} \cdot J, \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                      12. lower-*.f64N/A

                                        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \left(K \cdot K\right) \cdot J, \color{blue}{\frac{1}{4} \cdot J}\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                      13. lower-*.f6435.4

                                        \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(-0.005208333333333333, \left(K \cdot K\right) \cdot J, 0.25 \cdot J\right) \cdot K, K, \color{blue}{-2 \cdot J}\right) \cdot 1 \]
                                    4. Applied rewrites35.4%

                                      \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-0.005208333333333333, \left(K \cdot K\right) \cdot J, 0.25 \cdot J\right) \cdot K, K, -2 \cdot J\right)} \cdot 1 \]
                                    5. Taylor expanded in J around 0

                                      \[\leadsto \left(J \cdot \color{blue}{\left({K}^{2} \cdot \left(\frac{1}{4} + \frac{-1}{192} \cdot {K}^{2}\right) - 2\right)}\right) \cdot 1 \]
                                    6. Step-by-step derivation
                                      1. Applied rewrites35.4%

                                        \[\leadsto \left(\mathsf{fma}\left(\mathsf{fma}\left(-0.005208333333333333, K \cdot K, 0.25\right), K \cdot K, -2\right) \cdot \color{blue}{J}\right) \cdot 1 \]

                                      if 10.5 < U

                                      1. Initial program 47.8%

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

                                        \[\leadsto \color{blue}{-1 \cdot U} \]
                                      4. Step-by-step derivation
                                        1. mul-1-negN/A

                                          \[\leadsto \color{blue}{\mathsf{neg}\left(U\right)} \]
                                        2. lower-neg.f6447.9

                                          \[\leadsto \color{blue}{-U} \]
                                      5. Applied rewrites47.9%

                                        \[\leadsto \color{blue}{-U} \]
                                    7. Recombined 2 regimes into one program.
                                    8. Add Preprocessing

                                    Alternative 11: 48.1% accurate, 11.3× speedup?

                                    \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ J\_s \cdot \begin{array}{l} \mathbf{if}\;U\_m \leq 10.5:\\ \;\;\;\;\mathsf{fma}\left(\left(0.25 \cdot J\_m\right) \cdot K, K, -2 \cdot J\_m\right) \cdot 1\\ \mathbf{else}:\\ \;\;\;\;-U\_m\\ \end{array} \end{array} \]
                                    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 (<= U_m 10.5) (* (fma (* (* 0.25 J_m) K) K (* -2.0 J_m)) 1.0) (- U_m))))
                                    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 (U_m <= 10.5) {
                                    		tmp = fma(((0.25 * J_m) * K), K, (-2.0 * J_m)) * 1.0;
                                    	} else {
                                    		tmp = -U_m;
                                    	}
                                    	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 (U_m <= 10.5)
                                    		tmp = Float64(fma(Float64(Float64(0.25 * J_m) * K), K, Float64(-2.0 * J_m)) * 1.0);
                                    	else
                                    		tmp = Float64(-U_m);
                                    	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_] := N[(J$95$s * If[LessEqual[U$95$m, 10.5], N[(N[(N[(N[(0.25 * J$95$m), $MachinePrecision] * K), $MachinePrecision] * K + N[(-2.0 * J$95$m), $MachinePrecision]), $MachinePrecision] * 1.0), $MachinePrecision], (-U$95$m)]), $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}\;U\_m \leq 10.5:\\
                                    \;\;\;\;\mathsf{fma}\left(\left(0.25 \cdot J\_m\right) \cdot K, K, -2 \cdot J\_m\right) \cdot 1\\
                                    
                                    \mathbf{else}:\\
                                    \;\;\;\;-U\_m\\
                                    
                                    
                                    \end{array}
                                    \end{array}
                                    
                                    Derivation
                                    1. Split input into 2 regimes
                                    2. if U < 10.5

                                      1. Initial program 79.1%

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

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

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

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

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

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

                                          \[\leadsto \left(\color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot J\right)} \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                                        7. lower-*.f6479.1

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

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

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

                                          \[\leadsto \left(\left(\cos \left(\frac{K}{\color{blue}{\mathsf{neg}\left(-2\right)}}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                                        11. distribute-neg-frac2N/A

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

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

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

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

                                          \[\leadsto \left(\left(\cos \color{blue}{\left(K \cdot \frac{1}{-2}\right)} \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                                        16. metadata-eval79.1

                                          \[\leadsto \left(\left(\cos \left(K \cdot \color{blue}{-0.5}\right) \cdot J\right) \cdot -2\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
                                      4. Applied rewrites79.1%

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

                                        \[\leadsto \left(\left(\cos \left(K \cdot \frac{-1}{2}\right) \cdot J\right) \cdot -2\right) \cdot \color{blue}{1} \]
                                      6. Step-by-step derivation
                                        1. Applied rewrites61.0%

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

                                          \[\leadsto \color{blue}{\left(-2 \cdot J + {K}^{2} \cdot \left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right)\right)} \cdot 1 \]
                                        3. Step-by-step derivation
                                          1. +-commutativeN/A

                                            \[\leadsto \color{blue}{\left({K}^{2} \cdot \left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) + -2 \cdot J\right)} \cdot 1 \]
                                          2. *-commutativeN/A

                                            \[\leadsto \left(\color{blue}{\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot {K}^{2}} + -2 \cdot J\right) \cdot 1 \]
                                          3. unpow2N/A

                                            \[\leadsto \left(\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot \color{blue}{\left(K \cdot K\right)} + -2 \cdot J\right) \cdot 1 \]
                                          4. associate-*r*N/A

                                            \[\leadsto \left(\color{blue}{\left(\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot K\right) \cdot K} + -2 \cdot J\right) \cdot 1 \]
                                          5. lower-fma.f64N/A

                                            \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right)} \cdot 1 \]
                                          6. lower-*.f64N/A

                                            \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{-1}{192} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{4} \cdot J\right) \cdot K}, K, -2 \cdot J\right) \cdot 1 \]
                                          7. lower-fma.f64N/A

                                            \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(\frac{-1}{192}, J \cdot {K}^{2}, \frac{1}{4} \cdot J\right)} \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                          8. *-commutativeN/A

                                            \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \color{blue}{{K}^{2} \cdot J}, \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                          9. lower-*.f64N/A

                                            \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \color{blue}{{K}^{2} \cdot J}, \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                          10. unpow2N/A

                                            \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \color{blue}{\left(K \cdot K\right)} \cdot J, \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                          11. lower-*.f64N/A

                                            \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \color{blue}{\left(K \cdot K\right)} \cdot J, \frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                          12. lower-*.f64N/A

                                            \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(\frac{-1}{192}, \left(K \cdot K\right) \cdot J, \color{blue}{\frac{1}{4} \cdot J}\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                          13. lower-*.f6435.4

                                            \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(-0.005208333333333333, \left(K \cdot K\right) \cdot J, 0.25 \cdot J\right) \cdot K, K, \color{blue}{-2 \cdot J}\right) \cdot 1 \]
                                        4. Applied rewrites35.4%

                                          \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-0.005208333333333333, \left(K \cdot K\right) \cdot J, 0.25 \cdot J\right) \cdot K, K, -2 \cdot J\right)} \cdot 1 \]
                                        5. Taylor expanded in K around 0

                                          \[\leadsto \mathsf{fma}\left(\left(\frac{1}{4} \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]
                                        6. Step-by-step derivation
                                          1. Applied rewrites35.1%

                                            \[\leadsto \mathsf{fma}\left(\left(0.25 \cdot J\right) \cdot K, K, -2 \cdot J\right) \cdot 1 \]

                                          if 10.5 < U

                                          1. Initial program 47.8%

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

                                            \[\leadsto \color{blue}{-1 \cdot U} \]
                                          4. Step-by-step derivation
                                            1. mul-1-negN/A

                                              \[\leadsto \color{blue}{\mathsf{neg}\left(U\right)} \]
                                            2. lower-neg.f6447.9

                                              \[\leadsto \color{blue}{-U} \]
                                          5. Applied rewrites47.9%

                                            \[\leadsto \color{blue}{-U} \]
                                        7. Recombined 2 regimes into one program.
                                        8. Add Preprocessing

                                        Alternative 12: 39.7% accurate, 124.3× speedup?

                                        \[\begin{array}{l} U_m = \left|U\right| \\ J\_m = \left|J\right| \\ J\_s = \mathsf{copysign}\left(1, J\right) \\ J\_s \cdot \left(-U\_m\right) \end{array} \]
                                        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 (- U_m)))
                                        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 * -U_m;
                                        }
                                        
                                        U_m = abs(u)
                                        J\_m = abs(j)
                                        J\_s = copysign(1.0d0, j)
                                        real(8) function code(j_s, j_m, k, u_m)
                                            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 * -u_m
                                        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 * -U_m;
                                        }
                                        
                                        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 * -U_m
                                        
                                        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(-U_m))
                                        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 * -U_m;
                                        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 * (-U$95$m)), $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(-U\_m\right)
                                        \end{array}
                                        
                                        Derivation
                                        1. Initial program 70.5%

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

                                          \[\leadsto \color{blue}{-1 \cdot U} \]
                                        4. Step-by-step derivation
                                          1. mul-1-negN/A

                                            \[\leadsto \color{blue}{\mathsf{neg}\left(U\right)} \]
                                          2. lower-neg.f6426.6

                                            \[\leadsto \color{blue}{-U} \]
                                        5. Applied rewrites26.6%

                                          \[\leadsto \color{blue}{-U} \]
                                        6. Add Preprocessing

                                        Reproduce

                                        ?
                                        herbie shell --seed 2024303 
                                        (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)))))