Maksimov and Kolovsky, Equation (4)

Percentage Accurate: 85.6% → 99.9%

Time: 13.2s

Alternatives: 21

Speedup: 2.4×

• 48.9% of points produce a very large (infinite) output. You may want to add a precondition.

Specification

Math

\[\begin{array}{l} \\ \left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (+ (* (* J (- (exp l) (exp (- l)))) (cos (/ K 2.0))) U))

C

double code(double J, double l, double K, double U) {
	return ((J * (exp(l) - exp(-l))) * cos((K / 2.0))) + U;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    code = ((j * (exp(l) - exp(-l))) * cos((k / 2.0d0))) + u
end function

Java

public static double code(double J, double l, double K, double U) {
	return ((J * (Math.exp(l) - Math.exp(-l))) * Math.cos((K / 2.0))) + U;
}

Python

def code(J, l, K, U):
	return ((J * (math.exp(l) - math.exp(-l))) * math.cos((K / 2.0))) + U

Julia

function code(J, l, K, U)
	return Float64(Float64(Float64(J * Float64(exp(l) - exp(Float64(-l)))) * cos(Float64(K / 2.0))) + U)
end

MATLAB

function tmp = code(J, l, K, U)
	tmp = ((J * (exp(l) - exp(-l))) * cos((K / 2.0))) + U;
end

Wolfram

code[J_, l_, K_, U_] := N[(N[(N[(J * N[(N[Exp[l], $MachinePrecision] - N[Exp[(-l)], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + U), $MachinePrecision]

Initial Program: 85.6% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (+ (* (* J (- (exp l) (exp (- l)))) (cos (/ K 2.0))) U))

C

double code(double J, double l, double K, double U) {
	return ((J * (exp(l) - exp(-l))) * cos((K / 2.0))) + U;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    code = ((j * (exp(l) - exp(-l))) * cos((k / 2.0d0))) + u
end function

Java

public static double code(double J, double l, double K, double U) {
	return ((J * (Math.exp(l) - Math.exp(-l))) * Math.cos((K / 2.0))) + U;
}

Python

def code(J, l, K, U):
	return ((J * (math.exp(l) - math.exp(-l))) * math.cos((K / 2.0))) + U

Julia

function code(J, l, K, U)
	return Float64(Float64(Float64(J * Float64(exp(l) - exp(Float64(-l)))) * cos(Float64(K / 2.0))) + U)
end

MATLAB

function tmp = code(J, l, K, U)
	tmp = ((J * (exp(l) - exp(-l))) * cos((K / 2.0))) + U;
end

Wolfram

code[J_, l_, K_, U_] := N[(N[(N[(J * N[(N[Exp[l], $MachinePrecision] - N[Exp[(-l)], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + U), $MachinePrecision]

Alternative 1: 99.9% accurate, 1.5× speedup

Math

\[\begin{array}{l} \\ \left(\cos \left(\frac{K}{2}\right) \cdot \left(2 \cdot \sinh \ell\right)\right) \cdot J + U \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (+ (* (* (cos (/ K 2.0)) (* 2.0 (sinh l))) J) U))

C

double code(double J, double l, double K, double U) {
	return ((cos((K / 2.0)) * (2.0 * sinh(l))) * J) + U;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    code = ((cos((k / 2.0d0)) * (2.0d0 * sinh(l))) * j) + u
end function

Java

public static double code(double J, double l, double K, double U) {
	return ((Math.cos((K / 2.0)) * (2.0 * Math.sinh(l))) * J) + U;
}

Python

def code(J, l, K, U):
	return ((math.cos((K / 2.0)) * (2.0 * math.sinh(l))) * J) + U

Julia

function code(J, l, K, U)
	return Float64(Float64(Float64(cos(Float64(K / 2.0)) * Float64(2.0 * sinh(l))) * J) + U)
end

MATLAB

function tmp = code(J, l, K, U)
	tmp = ((cos((K / 2.0)) * (2.0 * sinh(l))) * J) + U;
end

Wolfram

code[J_, l_, K_, U_] := N[(N[(N[(N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision] * N[(2.0 * N[Sinh[l], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * J), $MachinePrecision] + U), $MachinePrecision]

Derivation

1. Initial program 87.1%

   \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
2. Add Preprocessing
3. Step-by-step derivation

   1. associate-*l* N/A

      \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(\left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right) \cdot \cos \left(\frac{K}{2}\right)\right)\right), U\right) \]

   2. *-commutative N/A

      \[\leadsto \mathsf{+.f64}\left(\left(\left(\left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot J\right), U\right) \]

   3. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(\left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right) \cdot \cos \left(\frac{K}{2}\right)\right), J\right), U\right) \]

   4. *-commutative N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(\cos \left(\frac{K}{2}\right) \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), J\right), U\right) \]

   5. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(\cos \left(\frac{K}{2}\right), \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), J\right), U\right) \]

   6. cos-lowering-cos.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\left(\frac{K}{2}\right)\right), \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), J\right), U\right) \]

   7. /-lowering-/.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right), \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), J\right), U\right) \]

   8. sinh-undef N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right), \left(2 \cdot \sinh \ell\right)\right), J\right), U\right) \]

   9. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right), \mathsf{*.f64}\left(2, \sinh \ell\right)\right), J\right), U\right) \]

   10. sinh-lowering-sinh.f64 99.9%

       \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right), \mathsf{*.f64}\left(2, \mathsf{sinh.f64}\left(\ell\right)\right)\right), J\right), U\right) \]

4. Applied egg-rr 99.9%

   \[\leadsto \color{blue}{\left(\cos \left(\frac{K}{2}\right) \cdot \left(2 \cdot \sinh \ell\right)\right) \cdot J} + U \]
5. Add Preprocessing

Alternative 2: 94.4% accurate, 1.4× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ \mathbf{if}\;t\_0 \leq 0.96:\\ \;\;\;\;U + t\_0 \cdot \left(J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (let* ((t_0 (cos (/ K 2.0))))
   (if (<= t_0 0.96)
     (+ U (* t_0 (* J (* l (+ 2.0 (* (* l l) 0.3333333333333333))))))
     (+ U (* (* 2.0 (sinh l)) J)))))

C

double code(double J, double l, double K, double U) {
	double t_0 = cos((K / 2.0));
	double tmp;
	if (t_0 <= 0.96) {
		tmp = U + (t_0 * (J * (l * (2.0 + ((l * l) * 0.3333333333333333)))));
	} else {
		tmp = U + ((2.0 * sinh(l)) * J);
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: t_0
    real(8) :: tmp
    t_0 = cos((k / 2.0d0))
    if (t_0 <= 0.96d0) then
        tmp = u + (t_0 * (j * (l * (2.0d0 + ((l * l) * 0.3333333333333333d0)))))
    else
        tmp = u + ((2.0d0 * sinh(l)) * j)
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double t_0 = Math.cos((K / 2.0));
	double tmp;
	if (t_0 <= 0.96) {
		tmp = U + (t_0 * (J * (l * (2.0 + ((l * l) * 0.3333333333333333)))));
	} else {
		tmp = U + ((2.0 * Math.sinh(l)) * J);
	}
	return tmp;
}

Python

def code(J, l, K, U):
	t_0 = math.cos((K / 2.0))
	tmp = 0
	if t_0 <= 0.96:
		tmp = U + (t_0 * (J * (l * (2.0 + ((l * l) * 0.3333333333333333)))))
	else:
		tmp = U + ((2.0 * math.sinh(l)) * J)
	return tmp

Julia

function code(J, l, K, U)
	t_0 = cos(Float64(K / 2.0))
	tmp = 0.0
	if (t_0 <= 0.96)
		tmp = Float64(U + Float64(t_0 * Float64(J * Float64(l * Float64(2.0 + Float64(Float64(l * l) * 0.3333333333333333))))));
	else
		tmp = Float64(U + Float64(Float64(2.0 * sinh(l)) * J));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	t_0 = cos((K / 2.0));
	tmp = 0.0;
	if (t_0 <= 0.96)
		tmp = U + (t_0 * (J * (l * (2.0 + ((l * l) * 0.3333333333333333)))));
	else
		tmp = U + ((2.0 * sinh(l)) * J);
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := Block[{t$95$0 = N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$0, 0.96], N[(U + N[(t$95$0 * N[(J * N[(l * N[(2.0 + N[(N[(l * l), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(U + N[(N[(2.0 * N[Sinh[l], $MachinePrecision]), $MachinePrecision] * J), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if (cos.f64 (/.f64 K #s(literal 2 binary64))) < 0.95999999999999996

   1. Initial program 84.3%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 94.2%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 94.2%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]

   if 0.95999999999999996 < (cos.f64 (/.f64 K #s(literal 2 binary64)))

   1. Initial program 89.5%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 89.5%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 89.5%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]
   6. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right) \cdot J\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right), J\right), U\right) \]

      3. div-inv N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + -1 \cdot \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      4. mul-1-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right), J\right), U\right) \]

      5. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      6. rec-exp N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right), J\right), U\right) \]

      7. sinh-undef N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(2 \cdot \sinh \ell\right), J\right), U\right) \]

      8. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \sinh \ell\right), J\right), U\right) \]

      9. sinh-lowering-sinh.f64 99.5%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \mathsf{sinh.f64}\left(\ell\right)\right), J\right), U\right) \]

   7. Applied egg-rr 99.5%

      \[\leadsto \color{blue}{\left(2 \cdot \sinh \ell\right) \cdot J} + U \]
3. Recombined 2 regimes into one program.

4. Final simplification 97.1%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\cos \left(\frac{K}{2}\right) \leq 0.96:\\ \;\;\;\;U + \cos \left(\frac{K}{2}\right) \cdot \left(J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \end{array} \]
5. Add Preprocessing

Alternative 3: 93.1% accurate, 1.4× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\cos \left(\frac{K}{2}\right) \leq 0.48:\\ \;\;\;\;U + \ell \cdot \left(\left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right) \cdot \left(J \cdot \cos \left(K \cdot 0.5\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (if (<= (cos (/ K 2.0)) 0.48)
   (+ U (* l (* (+ 2.0 (* (* l l) 0.3333333333333333)) (* J (cos (* K 0.5))))))
   (+ U (* (* 2.0 (sinh l)) J))))

C

double code(double J, double l, double K, double U) {
	double tmp;
	if (cos((K / 2.0)) <= 0.48) {
		tmp = U + (l * ((2.0 + ((l * l) * 0.3333333333333333)) * (J * cos((K * 0.5)))));
	} else {
		tmp = U + ((2.0 * sinh(l)) * J);
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: tmp
    if (cos((k / 2.0d0)) <= 0.48d0) then
        tmp = u + (l * ((2.0d0 + ((l * l) * 0.3333333333333333d0)) * (j * cos((k * 0.5d0)))))
    else
        tmp = u + ((2.0d0 * sinh(l)) * j)
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double tmp;
	if (Math.cos((K / 2.0)) <= 0.48) {
		tmp = U + (l * ((2.0 + ((l * l) * 0.3333333333333333)) * (J * Math.cos((K * 0.5)))));
	} else {
		tmp = U + ((2.0 * Math.sinh(l)) * J);
	}
	return tmp;
}

Python

def code(J, l, K, U):
	tmp = 0
	if math.cos((K / 2.0)) <= 0.48:
		tmp = U + (l * ((2.0 + ((l * l) * 0.3333333333333333)) * (J * math.cos((K * 0.5)))))
	else:
		tmp = U + ((2.0 * math.sinh(l)) * J)
	return tmp

Julia

function code(J, l, K, U)
	tmp = 0.0
	if (cos(Float64(K / 2.0)) <= 0.48)
		tmp = Float64(U + Float64(l * Float64(Float64(2.0 + Float64(Float64(l * l) * 0.3333333333333333)) * Float64(J * cos(Float64(K * 0.5))))));
	else
		tmp = Float64(U + Float64(Float64(2.0 * sinh(l)) * J));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	tmp = 0.0;
	if (cos((K / 2.0)) <= 0.48)
		tmp = U + (l * ((2.0 + ((l * l) * 0.3333333333333333)) * (J * cos((K * 0.5)))));
	else
		tmp = U + ((2.0 * sinh(l)) * J);
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := If[LessEqual[N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision], 0.48], N[(U + N[(l * N[(N[(2.0 + N[(N[(l * l), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision] * N[(J * N[Cos[N[(K * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(U + N[(N[(2.0 * N[Sinh[l], $MachinePrecision]), $MachinePrecision] * J), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if (cos.f64 (/.f64 K #s(literal 2 binary64))) < 0.47999999999999998

   1. Initial program 83.9%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(\ell \cdot \left(\frac{1}{3} \cdot \left(J \cdot \left({\ell}^{2} \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right) + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\ell \cdot \left(\frac{1}{3} \cdot \left(J \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot {\ell}^{2}\right)\right) + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      2. associate-*r* N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\ell \cdot \left(\frac{1}{3} \cdot \left(\left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right) \cdot {\ell}^{2}\right) + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      3. associate-*l* N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\ell \cdot \left(\left(\frac{1}{3} \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right) \cdot {\ell}^{2} + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      4. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left(\left(\frac{1}{3} \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right) \cdot {\ell}^{2} + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      5. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left({\ell}^{2} \cdot \left(\frac{1}{3} \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right) + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      6. associate-*r* N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left(\left({\ell}^{2} \cdot \frac{1}{3}\right) \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right) + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      7. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left(\left(\frac{1}{3} \cdot {\ell}^{2}\right) \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right) + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      8. distribute-rgt-out N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left(\left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right) \cdot \left(\frac{1}{3} \cdot {\ell}^{2} + 2\right)\right)\right), U\right) \]

      9. +-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left(\left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right) \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), U\right) \]

      10. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right), \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), U\right) \]

   5. Simplified 94.3%

      \[\leadsto \color{blue}{\ell \cdot \left(\left(\cos \left(0.5 \cdot K\right) \cdot J\right) \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)} + U \]

   if 0.47999999999999998 < (cos.f64 (/.f64 K #s(literal 2 binary64)))

   1. Initial program 88.7%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 88.7%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 88.7%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]
   6. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right) \cdot J\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right), J\right), U\right) \]

      3. div-inv N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + -1 \cdot \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      4. mul-1-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right), J\right), U\right) \]

      5. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      6. rec-exp N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right), J\right), U\right) \]

      7. sinh-undef N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(2 \cdot \sinh \ell\right), J\right), U\right) \]

      8. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \sinh \ell\right), J\right), U\right) \]

      9. sinh-lowering-sinh.f64 97.3%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \mathsf{sinh.f64}\left(\ell\right)\right), J\right), U\right) \]

   7. Applied egg-rr 97.3%

      \[\leadsto \color{blue}{\left(2 \cdot \sinh \ell\right) \cdot J} + U \]
3. Recombined 2 regimes into one program.

4. Final simplification 96.3%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\cos \left(\frac{K}{2}\right) \leq 0.48:\\ \;\;\;\;U + \ell \cdot \left(\left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right) \cdot \left(J \cdot \cos \left(K \cdot 0.5\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \end{array} \]
5. Add Preprocessing

Alternative 4: 87.7% accurate, 1.4× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ \mathbf{if}\;t\_0 \leq -0.04:\\ \;\;\;\;U + t\_0 \cdot \left(J \cdot \left(2 \cdot \ell\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (let* ((t_0 (cos (/ K 2.0))))
   (if (<= t_0 -0.04)
     (+ U (* t_0 (* J (* 2.0 l))))
     (+ U (* (* 2.0 (sinh l)) J)))))

C

double code(double J, double l, double K, double U) {
	double t_0 = cos((K / 2.0));
	double tmp;
	if (t_0 <= -0.04) {
		tmp = U + (t_0 * (J * (2.0 * l)));
	} else {
		tmp = U + ((2.0 * sinh(l)) * J);
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: t_0
    real(8) :: tmp
    t_0 = cos((k / 2.0d0))
    if (t_0 <= (-0.04d0)) then
        tmp = u + (t_0 * (j * (2.0d0 * l)))
    else
        tmp = u + ((2.0d0 * sinh(l)) * j)
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double t_0 = Math.cos((K / 2.0));
	double tmp;
	if (t_0 <= -0.04) {
		tmp = U + (t_0 * (J * (2.0 * l)));
	} else {
		tmp = U + ((2.0 * Math.sinh(l)) * J);
	}
	return tmp;
}

Python

def code(J, l, K, U):
	t_0 = math.cos((K / 2.0))
	tmp = 0
	if t_0 <= -0.04:
		tmp = U + (t_0 * (J * (2.0 * l)))
	else:
		tmp = U + ((2.0 * math.sinh(l)) * J)
	return tmp

Julia

function code(J, l, K, U)
	t_0 = cos(Float64(K / 2.0))
	tmp = 0.0
	if (t_0 <= -0.04)
		tmp = Float64(U + Float64(t_0 * Float64(J * Float64(2.0 * l))));
	else
		tmp = Float64(U + Float64(Float64(2.0 * sinh(l)) * J));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	t_0 = cos((K / 2.0));
	tmp = 0.0;
	if (t_0 <= -0.04)
		tmp = U + (t_0 * (J * (2.0 * l)));
	else
		tmp = U + ((2.0 * sinh(l)) * J);
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := Block[{t$95$0 = N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$0, -0.04], N[(U + N[(t$95$0 * N[(J * N[(2.0 * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(U + N[(N[(2.0 * N[Sinh[l], $MachinePrecision]), $MachinePrecision] * J), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if (cos.f64 (/.f64 K #s(literal 2 binary64))) < -0.0400000000000000008

   1. Initial program 82.9%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(2 \cdot \ell\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \left(\ell \cdot 2\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. *-lowering-*.f64 75.1%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, 2\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 75.1%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot 2\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]

   if -0.0400000000000000008 < (cos.f64 (/.f64 K #s(literal 2 binary64)))

   1. Initial program 88.5%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 88.4%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 88.4%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]
   6. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right) \cdot J\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right), J\right), U\right) \]

      3. div-inv N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + -1 \cdot \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      4. mul-1-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right), J\right), U\right) \]

      5. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      6. rec-exp N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right), J\right), U\right) \]

      7. sinh-undef N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(2 \cdot \sinh \ell\right), J\right), U\right) \]

      8. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \sinh \ell\right), J\right), U\right) \]

      9. sinh-lowering-sinh.f64 96.4%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \mathsf{sinh.f64}\left(\ell\right)\right), J\right), U\right) \]

   7. Applied egg-rr 96.4%

      \[\leadsto \color{blue}{\left(2 \cdot \sinh \ell\right) \cdot J} + U \]
3. Recombined 2 regimes into one program.

4. Final simplification 91.1%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\cos \left(\frac{K}{2}\right) \leq -0.04:\\ \;\;\;\;U + \cos \left(\frac{K}{2}\right) \cdot \left(J \cdot \left(2 \cdot \ell\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \end{array} \]
5. Add Preprocessing

Alternative 5: 89.5% accurate, 2.3× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{K}{2} \leq 0.0001:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \mathbf{else}:\\ \;\;\;\;U + \cos \left(\frac{K}{2}\right) \cdot \left(J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot \left(0.3333333333333333 + \ell \cdot \left(\ell \cdot \left(0.016666666666666666 + \left(\ell \cdot \ell\right) \cdot 0.0003968253968253968\right)\right)\right)\right)\right)\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (if (<= (/ K 2.0) 0.0001)
   (+ U (* (* 2.0 (sinh l)) J))
   (+
    U
    (*
     (cos (/ K 2.0))
     (*
      J
      (*
       l
       (+
        2.0
        (*
         (* l l)
         (+
          0.3333333333333333
          (*
           l
           (*
            l
            (+
             0.016666666666666666
             (* (* l l) 0.0003968253968253968)))))))))))))

C

double code(double J, double l, double K, double U) {
	double tmp;
	if ((K / 2.0) <= 0.0001) {
		tmp = U + ((2.0 * sinh(l)) * J);
	} else {
		tmp = U + (cos((K / 2.0)) * (J * (l * (2.0 + ((l * l) * (0.3333333333333333 + (l * (l * (0.016666666666666666 + ((l * l) * 0.0003968253968253968))))))))));
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: tmp
    if ((k / 2.0d0) <= 0.0001d0) then
        tmp = u + ((2.0d0 * sinh(l)) * j)
    else
        tmp = u + (cos((k / 2.0d0)) * (j * (l * (2.0d0 + ((l * l) * (0.3333333333333333d0 + (l * (l * (0.016666666666666666d0 + ((l * l) * 0.0003968253968253968d0))))))))))
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double tmp;
	if ((K / 2.0) <= 0.0001) {
		tmp = U + ((2.0 * Math.sinh(l)) * J);
	} else {
		tmp = U + (Math.cos((K / 2.0)) * (J * (l * (2.0 + ((l * l) * (0.3333333333333333 + (l * (l * (0.016666666666666666 + ((l * l) * 0.0003968253968253968))))))))));
	}
	return tmp;
}

Python

def code(J, l, K, U):
	tmp = 0
	if (K / 2.0) <= 0.0001:
		tmp = U + ((2.0 * math.sinh(l)) * J)
	else:
		tmp = U + (math.cos((K / 2.0)) * (J * (l * (2.0 + ((l * l) * (0.3333333333333333 + (l * (l * (0.016666666666666666 + ((l * l) * 0.0003968253968253968))))))))))
	return tmp

Julia

function code(J, l, K, U)
	tmp = 0.0
	if (Float64(K / 2.0) <= 0.0001)
		tmp = Float64(U + Float64(Float64(2.0 * sinh(l)) * J));
	else
		tmp = Float64(U + Float64(cos(Float64(K / 2.0)) * Float64(J * Float64(l * Float64(2.0 + Float64(Float64(l * l) * Float64(0.3333333333333333 + Float64(l * Float64(l * Float64(0.016666666666666666 + Float64(Float64(l * l) * 0.0003968253968253968)))))))))));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	tmp = 0.0;
	if ((K / 2.0) <= 0.0001)
		tmp = U + ((2.0 * sinh(l)) * J);
	else
		tmp = U + (cos((K / 2.0)) * (J * (l * (2.0 + ((l * l) * (0.3333333333333333 + (l * (l * (0.016666666666666666 + ((l * l) * 0.0003968253968253968))))))))));
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := If[LessEqual[N[(K / 2.0), $MachinePrecision], 0.0001], N[(U + N[(N[(2.0 * N[Sinh[l], $MachinePrecision]), $MachinePrecision] * J), $MachinePrecision]), $MachinePrecision], N[(U + N[(N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision] * N[(J * N[(l * N[(2.0 + N[(N[(l * l), $MachinePrecision] * N[(0.3333333333333333 + N[(l * N[(l * N[(0.016666666666666666 + N[(N[(l * l), $MachinePrecision] * 0.0003968253968253968), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if (/.f64 K #s(literal 2 binary64)) < 1.00000000000000005e-4

   1. Initial program 89.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 79.1%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 79.1%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]
   6. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right) \cdot J\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right), J\right), U\right) \]

      3. div-inv N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + -1 \cdot \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      4. mul-1-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right), J\right), U\right) \]

      5. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      6. rec-exp N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right), J\right), U\right) \]

      7. sinh-undef N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(2 \cdot \sinh \ell\right), J\right), U\right) \]

      8. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \sinh \ell\right), J\right), U\right) \]

      9. sinh-lowering-sinh.f64 86.5%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \mathsf{sinh.f64}\left(\ell\right)\right), J\right), U\right) \]

   7. Applied egg-rr 86.5%

      \[\leadsto \color{blue}{\left(2 \cdot \sinh \ell\right) \cdot J} + U \]

   if 1.00000000000000005e-4 < (/.f64 K #s(literal 2 binary64))

   1. Initial program 81.7%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + {\ell}^{2} \cdot \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + {\ell}^{2} \cdot \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left({\ell}^{2} \cdot \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\left({\ell}^{2}\right), \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\left(\ell \cdot \ell\right), \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      6. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \left({\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      7. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \left(\left(\ell \cdot \ell\right) \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      8. associate-*l* N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \left(\ell \cdot \left(\ell \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      9. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \left(\ell \cdot \left(\left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right) \cdot \ell\right)\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      10. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \left(\left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right) \cdot \ell\right)\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      11. *-commutative N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \left(\ell \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      12. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      13. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{60}, \left(\frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      14. *-commutative N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{60}, \left({\ell}^{2} \cdot \frac{1}{2520}\right)\right)\right)\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      15. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{60}, \mathsf{*.f64}\left(\left({\ell}^{2}\right), \frac{1}{2520}\right)\right)\right)\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      16. unpow2 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{60}, \mathsf{*.f64}\left(\left(\ell \cdot \ell\right), \frac{1}{2520}\right)\right)\right)\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      17. *-lowering-*.f64 98.5%

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{60}, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \frac{1}{2520}\right)\right)\right)\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 98.5%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot \left(0.3333333333333333 + \ell \cdot \left(\ell \cdot \left(0.016666666666666666 + \left(\ell \cdot \ell\right) \cdot 0.0003968253968253968\right)\right)\right)\right)\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
3. Recombined 2 regimes into one program.

4. Final simplification 89.7%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{K}{2} \leq 0.0001:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \mathbf{else}:\\ \;\;\;\;U + \cos \left(\frac{K}{2}\right) \cdot \left(J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot \left(0.3333333333333333 + \ell \cdot \left(\ell \cdot \left(0.016666666666666666 + \left(\ell \cdot \ell\right) \cdot 0.0003968253968253968\right)\right)\right)\right)\right)\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 6: 88.9% accurate, 2.4× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{K}{2} \leq 0.0001:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \mathbf{else}:\\ \;\;\;\;U + \cos \left(\frac{K}{2}\right) \cdot \left(J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot \left(0.3333333333333333 + \left(\ell \cdot \ell\right) \cdot 0.016666666666666666\right)\right)\right)\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (if (<= (/ K 2.0) 0.0001)
   (+ U (* (* 2.0 (sinh l)) J))
   (+
    U
    (*
     (cos (/ K 2.0))
     (*
      J
      (*
       l
       (+
        2.0
        (*
         (* l l)
         (+ 0.3333333333333333 (* (* l l) 0.016666666666666666))))))))))

C

double code(double J, double l, double K, double U) {
	double tmp;
	if ((K / 2.0) <= 0.0001) {
		tmp = U + ((2.0 * sinh(l)) * J);
	} else {
		tmp = U + (cos((K / 2.0)) * (J * (l * (2.0 + ((l * l) * (0.3333333333333333 + ((l * l) * 0.016666666666666666)))))));
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: tmp
    if ((k / 2.0d0) <= 0.0001d0) then
        tmp = u + ((2.0d0 * sinh(l)) * j)
    else
        tmp = u + (cos((k / 2.0d0)) * (j * (l * (2.0d0 + ((l * l) * (0.3333333333333333d0 + ((l * l) * 0.016666666666666666d0)))))))
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double tmp;
	if ((K / 2.0) <= 0.0001) {
		tmp = U + ((2.0 * Math.sinh(l)) * J);
	} else {
		tmp = U + (Math.cos((K / 2.0)) * (J * (l * (2.0 + ((l * l) * (0.3333333333333333 + ((l * l) * 0.016666666666666666)))))));
	}
	return tmp;
}

Python

def code(J, l, K, U):
	tmp = 0
	if (K / 2.0) <= 0.0001:
		tmp = U + ((2.0 * math.sinh(l)) * J)
	else:
		tmp = U + (math.cos((K / 2.0)) * (J * (l * (2.0 + ((l * l) * (0.3333333333333333 + ((l * l) * 0.016666666666666666)))))))
	return tmp

Julia

function code(J, l, K, U)
	tmp = 0.0
	if (Float64(K / 2.0) <= 0.0001)
		tmp = Float64(U + Float64(Float64(2.0 * sinh(l)) * J));
	else
		tmp = Float64(U + Float64(cos(Float64(K / 2.0)) * Float64(J * Float64(l * Float64(2.0 + Float64(Float64(l * l) * Float64(0.3333333333333333 + Float64(Float64(l * l) * 0.016666666666666666))))))));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	tmp = 0.0;
	if ((K / 2.0) <= 0.0001)
		tmp = U + ((2.0 * sinh(l)) * J);
	else
		tmp = U + (cos((K / 2.0)) * (J * (l * (2.0 + ((l * l) * (0.3333333333333333 + ((l * l) * 0.016666666666666666)))))));
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := If[LessEqual[N[(K / 2.0), $MachinePrecision], 0.0001], N[(U + N[(N[(2.0 * N[Sinh[l], $MachinePrecision]), $MachinePrecision] * J), $MachinePrecision]), $MachinePrecision], N[(U + N[(N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision] * N[(J * N[(l * N[(2.0 + N[(N[(l * l), $MachinePrecision] * N[(0.3333333333333333 + N[(N[(l * l), $MachinePrecision] * 0.016666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if (/.f64 K #s(literal 2 binary64)) < 1.00000000000000005e-4

   1. Initial program 89.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 79.1%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 79.1%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]
   6. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right) \cdot J\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right), J\right), U\right) \]

      3. div-inv N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + -1 \cdot \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      4. mul-1-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right), J\right), U\right) \]

      5. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      6. rec-exp N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right), J\right), U\right) \]

      7. sinh-undef N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(2 \cdot \sinh \ell\right), J\right), U\right) \]

      8. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \sinh \ell\right), J\right), U\right) \]

      9. sinh-lowering-sinh.f64 86.5%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \mathsf{sinh.f64}\left(\ell\right)\right), J\right), U\right) \]

   7. Applied egg-rr 86.5%

      \[\leadsto \color{blue}{\left(2 \cdot \sinh \ell\right) \cdot J} + U \]

   if 1.00000000000000005e-4 < (/.f64 K #s(literal 2 binary64))

   1. Initial program 81.7%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + {\ell}^{2} \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + {\ell}^{2} \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left({\ell}^{2} \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\left({\ell}^{2}\right), \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\left(\ell \cdot \ell\right), \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      6. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \left(\frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      7. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \left({\ell}^{2} \cdot \frac{1}{60}\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      8. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\left({\ell}^{2}\right), \frac{1}{60}\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      9. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\left(\ell \cdot \ell\right), \frac{1}{60}\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      10. *-lowering-*.f64 97.0%

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \frac{1}{60}\right)\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 97.0%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot \left(0.3333333333333333 + \left(\ell \cdot \ell\right) \cdot 0.016666666666666666\right)\right)\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
3. Recombined 2 regimes into one program.

4. Final simplification 89.3%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{K}{2} \leq 0.0001:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \mathbf{else}:\\ \;\;\;\;U + \cos \left(\frac{K}{2}\right) \cdot \left(J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot \left(0.3333333333333333 + \left(\ell \cdot \ell\right) \cdot 0.016666666666666666\right)\right)\right)\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 7: 83.8% accurate, 2.6× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := U + \ell \cdot \left(\cos \left(K \cdot 0.5\right) \cdot \left(2 \cdot J\right)\right)\\ \mathbf{if}\;J \leq -3.7 \cdot 10^{+116}:\\ \;\;\;\;t\_0\\ \mathbf{elif}\;J \leq 5.5 \cdot 10^{+60}:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \mathbf{else}:\\ \;\;\;\;t\_0\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (let* ((t_0 (+ U (* l (* (cos (* K 0.5)) (* 2.0 J))))))
   (if (<= J -3.7e+116)
     t_0
     (if (<= J 5.5e+60) (+ U (* (* 2.0 (sinh l)) J)) t_0))))

C

double code(double J, double l, double K, double U) {
	double t_0 = U + (l * (cos((K * 0.5)) * (2.0 * J)));
	double tmp;
	if (J <= -3.7e+116) {
		tmp = t_0;
	} else if (J <= 5.5e+60) {
		tmp = U + ((2.0 * sinh(l)) * J);
	} else {
		tmp = t_0;
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: t_0
    real(8) :: tmp
    t_0 = u + (l * (cos((k * 0.5d0)) * (2.0d0 * j)))
    if (j <= (-3.7d+116)) then
        tmp = t_0
    else if (j <= 5.5d+60) then
        tmp = u + ((2.0d0 * sinh(l)) * j)
    else
        tmp = t_0
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double t_0 = U + (l * (Math.cos((K * 0.5)) * (2.0 * J)));
	double tmp;
	if (J <= -3.7e+116) {
		tmp = t_0;
	} else if (J <= 5.5e+60) {
		tmp = U + ((2.0 * Math.sinh(l)) * J);
	} else {
		tmp = t_0;
	}
	return tmp;
}

Python

def code(J, l, K, U):
	t_0 = U + (l * (math.cos((K * 0.5)) * (2.0 * J)))
	tmp = 0
	if J <= -3.7e+116:
		tmp = t_0
	elif J <= 5.5e+60:
		tmp = U + ((2.0 * math.sinh(l)) * J)
	else:
		tmp = t_0
	return tmp

Julia

function code(J, l, K, U)
	t_0 = Float64(U + Float64(l * Float64(cos(Float64(K * 0.5)) * Float64(2.0 * J))))
	tmp = 0.0
	if (J <= -3.7e+116)
		tmp = t_0;
	elseif (J <= 5.5e+60)
		tmp = Float64(U + Float64(Float64(2.0 * sinh(l)) * J));
	else
		tmp = t_0;
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	t_0 = U + (l * (cos((K * 0.5)) * (2.0 * J)));
	tmp = 0.0;
	if (J <= -3.7e+116)
		tmp = t_0;
	elseif (J <= 5.5e+60)
		tmp = U + ((2.0 * sinh(l)) * J);
	else
		tmp = t_0;
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := Block[{t$95$0 = N[(U + N[(l * N[(N[Cos[N[(K * 0.5), $MachinePrecision]], $MachinePrecision] * N[(2.0 * J), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[J, -3.7e+116], t$95$0, If[LessEqual[J, 5.5e+60], N[(U + N[(N[(2.0 * N[Sinh[l], $MachinePrecision]), $MachinePrecision] * J), $MachinePrecision]), $MachinePrecision], t$95$0]]]

Derivation

1. Split input into 2 regimes

2. if J < -3.7000000000000001e116 or 5.5000000000000001e60 < J

   1. Initial program 74.7%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(\ell \cdot \left(\frac{1}{3} \cdot \left(J \cdot \left({\ell}^{2} \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right) + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\ell \cdot \left(\frac{1}{3} \cdot \left(J \cdot \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot {\ell}^{2}\right)\right) + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      2. associate-*r* N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\ell \cdot \left(\frac{1}{3} \cdot \left(\left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right) \cdot {\ell}^{2}\right) + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      3. associate-*l* N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\ell \cdot \left(\left(\frac{1}{3} \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right) \cdot {\ell}^{2} + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      4. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left(\left(\frac{1}{3} \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right) \cdot {\ell}^{2} + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      5. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left({\ell}^{2} \cdot \left(\frac{1}{3} \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right) + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      6. associate-*r* N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left(\left({\ell}^{2} \cdot \frac{1}{3}\right) \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right) + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      7. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left(\left(\frac{1}{3} \cdot {\ell}^{2}\right) \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right) + 2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)\right), U\right) \]

      8. distribute-rgt-out N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left(\left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right) \cdot \left(\frac{1}{3} \cdot {\ell}^{2} + 2\right)\right)\right), U\right) \]

      9. +-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left(\left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right) \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), U\right) \]

      10. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right), \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), U\right) \]

   5. Simplified 94.7%

      \[\leadsto \color{blue}{\ell \cdot \left(\left(\cos \left(0.5 \cdot K\right) \cdot J\right) \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)} + U \]

   6. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \color{blue}{\left(2 \cdot \left(J \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)}\right), U\right) \]
   7. Step-by-step derivation

      1. associate-*r* N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left(\left(2 \cdot J\right) \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right), U\right) \]

      2. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \left(2 \cdot J\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\cos \left(\frac{1}{2} \cdot K\right), \left(2 \cdot J\right)\right)\right), U\right) \]

      4. cos-lowering-cos.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\mathsf{cos.f64}\left(\left(\frac{1}{2} \cdot K\right)\right), \left(2 \cdot J\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(\frac{1}{2}, K\right)\right), \left(2 \cdot J\right)\right)\right), U\right) \]

      6. *-lowering-*.f64 85.9%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(\frac{1}{2}, K\right)\right), \mathsf{*.f64}\left(2, J\right)\right)\right), U\right) \]

   8. Simplified 85.9%

      \[\leadsto \ell \cdot \color{blue}{\left(\cos \left(0.5 \cdot K\right) \cdot \left(2 \cdot J\right)\right)} + U \]

   if -3.7000000000000001e116 < J < 5.5000000000000001e60

   1. Initial program 93.6%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 85.3%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 85.3%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]
   6. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right) \cdot J\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right), J\right), U\right) \]

      3. div-inv N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + -1 \cdot \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      4. mul-1-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right), J\right), U\right) \]

      5. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      6. rec-exp N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right), J\right), U\right) \]

      7. sinh-undef N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(2 \cdot \sinh \ell\right), J\right), U\right) \]

      8. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \sinh \ell\right), J\right), U\right) \]

      9. sinh-lowering-sinh.f64 89.1%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \mathsf{sinh.f64}\left(\ell\right)\right), J\right), U\right) \]

   7. Applied egg-rr 89.1%

      \[\leadsto \color{blue}{\left(2 \cdot \sinh \ell\right) \cdot J} + U \]
3. Recombined 2 regimes into one program.

4. Final simplification 88.0%

   \[\leadsto \begin{array}{l} \mathbf{if}\;J \leq -3.7 \cdot 10^{+116}:\\ \;\;\;\;U + \ell \cdot \left(\cos \left(K \cdot 0.5\right) \cdot \left(2 \cdot J\right)\right)\\ \mathbf{elif}\;J \leq 5.5 \cdot 10^{+60}:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \mathbf{else}:\\ \;\;\;\;U + \ell \cdot \left(\cos \left(K \cdot 0.5\right) \cdot \left(2 \cdot J\right)\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 8: 81.2% accurate, 2.7× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;J \leq -5.2 \cdot 10^{+220}:\\ \;\;\;\;\cos \left(K \cdot 0.5\right) \cdot \left(J \cdot \left(2 \cdot \ell\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (if (<= J -5.2e+220)
   (* (cos (* K 0.5)) (* J (* 2.0 l)))
   (+ U (* (* 2.0 (sinh l)) J))))

C

double code(double J, double l, double K, double U) {
	double tmp;
	if (J <= -5.2e+220) {
		tmp = cos((K * 0.5)) * (J * (2.0 * l));
	} else {
		tmp = U + ((2.0 * sinh(l)) * J);
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: tmp
    if (j <= (-5.2d+220)) then
        tmp = cos((k * 0.5d0)) * (j * (2.0d0 * l))
    else
        tmp = u + ((2.0d0 * sinh(l)) * j)
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double tmp;
	if (J <= -5.2e+220) {
		tmp = Math.cos((K * 0.5)) * (J * (2.0 * l));
	} else {
		tmp = U + ((2.0 * Math.sinh(l)) * J);
	}
	return tmp;
}

Python

def code(J, l, K, U):
	tmp = 0
	if J <= -5.2e+220:
		tmp = math.cos((K * 0.5)) * (J * (2.0 * l))
	else:
		tmp = U + ((2.0 * math.sinh(l)) * J)
	return tmp

Julia

function code(J, l, K, U)
	tmp = 0.0
	if (J <= -5.2e+220)
		tmp = Float64(cos(Float64(K * 0.5)) * Float64(J * Float64(2.0 * l)));
	else
		tmp = Float64(U + Float64(Float64(2.0 * sinh(l)) * J));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	tmp = 0.0;
	if (J <= -5.2e+220)
		tmp = cos((K * 0.5)) * (J * (2.0 * l));
	else
		tmp = U + ((2.0 * sinh(l)) * J);
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := If[LessEqual[J, -5.2e+220], N[(N[Cos[N[(K * 0.5), $MachinePrecision]], $MachinePrecision] * N[(J * N[(2.0 * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(U + N[(N[(2.0 * N[Sinh[l], $MachinePrecision]), $MachinePrecision] * J), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if J < -5.19999999999999988e220

   1. Initial program 71.1%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 99.9%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 99.9%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]

   6. Taylor expanded in J around inf

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

      1. associate-*r* N/A

         \[\leadsto J \cdot \left(\left(\ell \cdot \cos \left(\frac{1}{2} \cdot K\right)\right) \cdot \color{blue}{\left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)}\right) \]

      2. associate-*r* N/A

         \[\leadsto \left(J \cdot \left(\ell \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right) \cdot \color{blue}{\left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)} \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(\left(J \cdot \left(\ell \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right), \color{blue}{\left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)}\right) \]

      4. associate-*r* N/A

         \[\leadsto \mathsf{*.f64}\left(\left(\left(J \cdot \ell\right) \cdot \cos \left(\frac{1}{2} \cdot K\right)\right), \left(\color{blue}{2} + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      5. *-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(\left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \left(J \cdot \ell\right)\right), \left(\color{blue}{2} + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      6. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\cos \left(\frac{1}{2} \cdot K\right), \left(J \cdot \ell\right)\right), \left(\color{blue}{2} + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      7. cos-lowering-cos.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\left(\frac{1}{2} \cdot K\right)\right), \left(J \cdot \ell\right)\right), \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      8. *-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\left(K \cdot \frac{1}{2}\right)\right), \left(J \cdot \ell\right)\right), \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      9. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(K, \frac{1}{2}\right)\right), \left(J \cdot \ell\right)\right), \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      10. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(K, \frac{1}{2}\right)\right), \mathsf{*.f64}\left(J, \ell\right)\right), \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      11. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(K, \frac{1}{2}\right)\right), \mathsf{*.f64}\left(J, \ell\right)\right), \mathsf{+.f64}\left(2, \color{blue}{\left(\frac{1}{3} \cdot {\ell}^{2}\right)}\right)\right) \]

      12. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(K, \frac{1}{2}\right)\right), \mathsf{*.f64}\left(J, \ell\right)\right), \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \color{blue}{\left({\ell}^{2}\right)}\right)\right)\right) \]

      13. unpow2 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(K, \frac{1}{2}\right)\right), \mathsf{*.f64}\left(J, \ell\right)\right), \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \color{blue}{\ell}\right)\right)\right)\right) \]

      14. *-lowering-*.f64 95.2%

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(K, \frac{1}{2}\right)\right), \mathsf{*.f64}\left(J, \ell\right)\right), \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \color{blue}{\ell}\right)\right)\right)\right) \]

   8. Simplified 95.2%

      \[\leadsto \color{blue}{\left(\cos \left(K \cdot 0.5\right) \cdot \left(J \cdot \ell\right)\right) \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)} \]

   9. Taylor expanded in l around 0

      \[\leadsto \color{blue}{2 \cdot \left(J \cdot \left(\ell \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right)} \]
   10. Step-by-step derivation

       1. associate-*r* N/A

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

       2. associate-*r* N/A

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

       3. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\left(\left(2 \cdot J\right) \cdot \ell\right), \color{blue}{\cos \left(\frac{1}{2} \cdot K\right)}\right) \]

       4. *-commutative N/A

          \[\leadsto \mathsf{*.f64}\left(\left(\left(J \cdot 2\right) \cdot \ell\right), \cos \left(\color{blue}{\frac{1}{2}} \cdot K\right)\right) \]

       5. associate-*r* N/A

          \[\leadsto \mathsf{*.f64}\left(\left(J \cdot \left(2 \cdot \ell\right)\right), \cos \color{blue}{\left(\frac{1}{2} \cdot K\right)}\right) \]

       6. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \left(2 \cdot \ell\right)\right), \cos \color{blue}{\left(\frac{1}{2} \cdot K\right)}\right) \]

       7. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(2, \ell\right)\right), \cos \left(\frac{1}{2} \cdot \color{blue}{K}\right)\right) \]

       8. cos-lowering-cos.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(2, \ell\right)\right), \mathsf{cos.f64}\left(\left(\frac{1}{2} \cdot K\right)\right)\right) \]

       9. *-lowering-*.f64 95.2%

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(2, \ell\right)\right), \mathsf{cos.f64}\left(\mathsf{*.f64}\left(\frac{1}{2}, K\right)\right)\right) \]

   11. Simplified 95.2%

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

   if -5.19999999999999988e220 < J

   1. Initial program 88.4%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 76.7%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 76.7%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]
   6. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right) \cdot J\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right), J\right), U\right) \]

      3. div-inv N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + -1 \cdot \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      4. mul-1-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right), J\right), U\right) \]

      5. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      6. rec-exp N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right), J\right), U\right) \]

      7. sinh-undef N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(2 \cdot \sinh \ell\right), J\right), U\right) \]

      8. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \sinh \ell\right), J\right), U\right) \]

      9. sinh-lowering-sinh.f64 81.8%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \mathsf{sinh.f64}\left(\ell\right)\right), J\right), U\right) \]

   7. Applied egg-rr 81.8%

      \[\leadsto \color{blue}{\left(2 \cdot \sinh \ell\right) \cdot J} + U \]
3. Recombined 2 regimes into one program.

4. Final simplification 82.8%

   \[\leadsto \begin{array}{l} \mathbf{if}\;J \leq -5.2 \cdot 10^{+220}:\\ \;\;\;\;\cos \left(K \cdot 0.5\right) \cdot \left(J \cdot \left(2 \cdot \ell\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \end{array} \]
5. Add Preprocessing

Alternative 9: 80.8% accurate, 2.8× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\ell \leq 1.4 \cdot 10^{+247}:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \mathbf{else}:\\ \;\;\;\;U + \left(J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\right) \cdot \left(1 + -0.125 \cdot \left(K \cdot K\right)\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (if (<= l 1.4e+247)
   (+ U (* (* 2.0 (sinh l)) J))
   (+
    U
    (*
     (* J (* l (+ 2.0 (* (* l l) 0.3333333333333333))))
     (+ 1.0 (* -0.125 (* K K)))))))

C

double code(double J, double l, double K, double U) {
	double tmp;
	if (l <= 1.4e+247) {
		tmp = U + ((2.0 * sinh(l)) * J);
	} else {
		tmp = U + ((J * (l * (2.0 + ((l * l) * 0.3333333333333333)))) * (1.0 + (-0.125 * (K * K))));
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: tmp
    if (l <= 1.4d+247) then
        tmp = u + ((2.0d0 * sinh(l)) * j)
    else
        tmp = u + ((j * (l * (2.0d0 + ((l * l) * 0.3333333333333333d0)))) * (1.0d0 + ((-0.125d0) * (k * k))))
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double tmp;
	if (l <= 1.4e+247) {
		tmp = U + ((2.0 * Math.sinh(l)) * J);
	} else {
		tmp = U + ((J * (l * (2.0 + ((l * l) * 0.3333333333333333)))) * (1.0 + (-0.125 * (K * K))));
	}
	return tmp;
}

Python

def code(J, l, K, U):
	tmp = 0
	if l <= 1.4e+247:
		tmp = U + ((2.0 * math.sinh(l)) * J)
	else:
		tmp = U + ((J * (l * (2.0 + ((l * l) * 0.3333333333333333)))) * (1.0 + (-0.125 * (K * K))))
	return tmp

Julia

function code(J, l, K, U)
	tmp = 0.0
	if (l <= 1.4e+247)
		tmp = Float64(U + Float64(Float64(2.0 * sinh(l)) * J));
	else
		tmp = Float64(U + Float64(Float64(J * Float64(l * Float64(2.0 + Float64(Float64(l * l) * 0.3333333333333333)))) * Float64(1.0 + Float64(-0.125 * Float64(K * K)))));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	tmp = 0.0;
	if (l <= 1.4e+247)
		tmp = U + ((2.0 * sinh(l)) * J);
	else
		tmp = U + ((J * (l * (2.0 + ((l * l) * 0.3333333333333333)))) * (1.0 + (-0.125 * (K * K))));
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := If[LessEqual[l, 1.4e+247], N[(U + N[(N[(2.0 * N[Sinh[l], $MachinePrecision]), $MachinePrecision] * J), $MachinePrecision]), $MachinePrecision], N[(U + N[(N[(J * N[(l * N[(2.0 + N[(N[(l * l), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(-0.125 * N[(K * K), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if l < 1.3999999999999999e247

   1. Initial program 86.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 76.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 76.0%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]
   6. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right) \cdot J\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \frac{-1}{e^{\ell}}\right), J\right), U\right) \]

      3. div-inv N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + -1 \cdot \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      4. mul-1-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} + \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right), J\right), U\right) \]

      5. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - \frac{1}{e^{\ell}}\right), J\right), U\right) \]

      6. rec-exp N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right), J\right), U\right) \]

      7. sinh-undef N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(2 \cdot \sinh \ell\right), J\right), U\right) \]

      8. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \sinh \ell\right), J\right), U\right) \]

      9. sinh-lowering-sinh.f64 82.3%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(2, \mathsf{sinh.f64}\left(\ell\right)\right), J\right), U\right) \]

   7. Applied egg-rr 82.3%

      \[\leadsto \color{blue}{\left(2 \cdot \sinh \ell\right) \cdot J} + U \]

   if 1.3999999999999999e247 < l

   1. Initial program 100.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 100.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 100.0%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]

   6. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \color{blue}{\left(1 + \frac{-1}{8} \cdot {K}^{2}\right)}\right), U\right) \]
   7. Step-by-step derivation

      1. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \left(\frac{-1}{8} \cdot {K}^{2}\right)\right)\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \left({K}^{2}\right)\right)\right)\right), U\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \left(K \cdot K\right)\right)\right)\right), U\right) \]

      4. *-lowering-*.f64 85.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \mathsf{*.f64}\left(K, K\right)\right)\right)\right), U\right) \]

   8. Simplified 85.0%

      \[\leadsto \left(J \cdot \left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)\right) \cdot \color{blue}{\left(1 + -0.125 \cdot \left(K \cdot K\right)\right)} + U \]
3. Recombined 2 regimes into one program.

4. Final simplification 82.5%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq 1.4 \cdot 10^{+247}:\\ \;\;\;\;U + \left(2 \cdot \sinh \ell\right) \cdot J\\ \mathbf{else}:\\ \;\;\;\;U + \left(J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\right) \cdot \left(1 + -0.125 \cdot \left(K \cdot K\right)\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 10: 77.3% accurate, 10.4× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\ell \leq 10^{+247}:\\ \;\;\;\;U + J \cdot \left(\ell \cdot \left(2 + \ell \cdot \left(\ell \cdot \left(0.3333333333333333 + \ell \cdot \left(\ell \cdot \left(0.016666666666666666 + \left(\ell \cdot \ell\right) \cdot 0.0003968253968253968\right)\right)\right)\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U + \left(J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\right) \cdot \left(1 + -0.125 \cdot \left(K \cdot K\right)\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (if (<= l 1e+247)
   (+
    U
    (*
     J
     (*
      l
      (+
       2.0
       (*
        l
        (*
         l
         (+
          0.3333333333333333
          (*
           l
           (*
            l
            (+ 0.016666666666666666 (* (* l l) 0.0003968253968253968)))))))))))
   (+
    U
    (*
     (* J (* l (+ 2.0 (* (* l l) 0.3333333333333333))))
     (+ 1.0 (* -0.125 (* K K)))))))

C

double code(double J, double l, double K, double U) {
	double tmp;
	if (l <= 1e+247) {
		tmp = U + (J * (l * (2.0 + (l * (l * (0.3333333333333333 + (l * (l * (0.016666666666666666 + ((l * l) * 0.0003968253968253968))))))))));
	} else {
		tmp = U + ((J * (l * (2.0 + ((l * l) * 0.3333333333333333)))) * (1.0 + (-0.125 * (K * K))));
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: tmp
    if (l <= 1d+247) then
        tmp = u + (j * (l * (2.0d0 + (l * (l * (0.3333333333333333d0 + (l * (l * (0.016666666666666666d0 + ((l * l) * 0.0003968253968253968d0))))))))))
    else
        tmp = u + ((j * (l * (2.0d0 + ((l * l) * 0.3333333333333333d0)))) * (1.0d0 + ((-0.125d0) * (k * k))))
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double tmp;
	if (l <= 1e+247) {
		tmp = U + (J * (l * (2.0 + (l * (l * (0.3333333333333333 + (l * (l * (0.016666666666666666 + ((l * l) * 0.0003968253968253968))))))))));
	} else {
		tmp = U + ((J * (l * (2.0 + ((l * l) * 0.3333333333333333)))) * (1.0 + (-0.125 * (K * K))));
	}
	return tmp;
}

Python

def code(J, l, K, U):
	tmp = 0
	if l <= 1e+247:
		tmp = U + (J * (l * (2.0 + (l * (l * (0.3333333333333333 + (l * (l * (0.016666666666666666 + ((l * l) * 0.0003968253968253968))))))))))
	else:
		tmp = U + ((J * (l * (2.0 + ((l * l) * 0.3333333333333333)))) * (1.0 + (-0.125 * (K * K))))
	return tmp

Julia

function code(J, l, K, U)
	tmp = 0.0
	if (l <= 1e+247)
		tmp = Float64(U + Float64(J * Float64(l * Float64(2.0 + Float64(l * Float64(l * Float64(0.3333333333333333 + Float64(l * Float64(l * Float64(0.016666666666666666 + Float64(Float64(l * l) * 0.0003968253968253968)))))))))));
	else
		tmp = Float64(U + Float64(Float64(J * Float64(l * Float64(2.0 + Float64(Float64(l * l) * 0.3333333333333333)))) * Float64(1.0 + Float64(-0.125 * Float64(K * K)))));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	tmp = 0.0;
	if (l <= 1e+247)
		tmp = U + (J * (l * (2.0 + (l * (l * (0.3333333333333333 + (l * (l * (0.016666666666666666 + ((l * l) * 0.0003968253968253968))))))))));
	else
		tmp = U + ((J * (l * (2.0 + ((l * l) * 0.3333333333333333)))) * (1.0 + (-0.125 * (K * K))));
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := If[LessEqual[l, 1e+247], N[(U + N[(J * N[(l * N[(2.0 + N[(l * N[(l * N[(0.3333333333333333 + N[(l * N[(l * N[(0.016666666666666666 + N[(N[(l * l), $MachinePrecision] * 0.0003968253968253968), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(U + N[(N[(J * N[(l * N[(2.0 + N[(N[(l * l), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(-0.125 * N[(K * K), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if l < 9.99999999999999952e246

   1. Initial program 86.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 76.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 76.0%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]

   6. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + {\ell}^{2} \cdot \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)}\right), U\right) \]
   7. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + {\ell}^{2} \cdot \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left({\ell}^{2} \cdot \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), U\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\left(\ell \cdot \ell\right) \cdot \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), U\right) \]

      4. associate-*l* N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\ell \cdot \left(\ell \cdot \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \left(\ell \cdot \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right), U\right) \]

      6. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \left(\frac{1}{3} + {\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right), U\right) \]

      7. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \left({\ell}^{2} \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right)\right), U\right) \]

      8. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \left(\left(\ell \cdot \ell\right) \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right)\right), U\right) \]

      9. associate-*l* N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \left(\ell \cdot \left(\ell \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right)\right)\right), U\right) \]

      10. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \left(\ell \cdot \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right)\right)\right), U\right) \]

      11. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \left(\frac{1}{60} + \frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right)\right)\right), U\right) \]

      12. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{60}, \left(\frac{1}{2520} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right)\right)\right)\right), U\right) \]

      13. *-commutative N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{60}, \left({\ell}^{2} \cdot \frac{1}{2520}\right)\right)\right)\right)\right)\right)\right)\right)\right)\right), U\right) \]

      14. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{60}, \mathsf{*.f64}\left(\left({\ell}^{2}\right), \frac{1}{2520}\right)\right)\right)\right)\right)\right)\right)\right)\right)\right), U\right) \]

      15. unpow2 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{60}, \mathsf{*.f64}\left(\left(\ell \cdot \ell\right), \frac{1}{2520}\right)\right)\right)\right)\right)\right)\right)\right)\right)\right), U\right) \]

      16. *-lowering-*.f64 77.9%

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{60}, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \frac{1}{2520}\right)\right)\right)\right)\right)\right)\right)\right)\right)\right), U\right) \]

   8. Simplified 77.9%

      \[\leadsto J \cdot \color{blue}{\left(\ell \cdot \left(2 + \ell \cdot \left(\ell \cdot \left(0.3333333333333333 + \ell \cdot \left(\ell \cdot \left(0.016666666666666666 + \left(\ell \cdot \ell\right) \cdot 0.0003968253968253968\right)\right)\right)\right)\right)\right)} + U \]

   if 9.99999999999999952e246 < l

   1. Initial program 100.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 100.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 100.0%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]

   6. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \color{blue}{\left(1 + \frac{-1}{8} \cdot {K}^{2}\right)}\right), U\right) \]
   7. Step-by-step derivation

      1. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \left(\frac{-1}{8} \cdot {K}^{2}\right)\right)\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \left({K}^{2}\right)\right)\right)\right), U\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \left(K \cdot K\right)\right)\right)\right), U\right) \]

      4. *-lowering-*.f64 85.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \mathsf{*.f64}\left(K, K\right)\right)\right)\right), U\right) \]

   8. Simplified 85.0%

      \[\leadsto \left(J \cdot \left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)\right) \cdot \color{blue}{\left(1 + -0.125 \cdot \left(K \cdot K\right)\right)} + U \]
3. Recombined 2 regimes into one program.

4. Final simplification 78.4%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq 10^{+247}:\\ \;\;\;\;U + J \cdot \left(\ell \cdot \left(2 + \ell \cdot \left(\ell \cdot \left(0.3333333333333333 + \ell \cdot \left(\ell \cdot \left(0.016666666666666666 + \left(\ell \cdot \ell\right) \cdot 0.0003968253968253968\right)\right)\right)\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U + \left(J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\right) \cdot \left(1 + -0.125 \cdot \left(K \cdot K\right)\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 11: 69.5% accurate, 12.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \ell \cdot \left(J \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\\ \mathbf{if}\;\ell \leq -29:\\ \;\;\;\;t\_0\\ \mathbf{elif}\;\ell \leq 8.8 \cdot 10^{+17}:\\ \;\;\;\;U + J \cdot \left(2 \cdot \ell\right)\\ \mathbf{elif}\;\ell \leq 3 \cdot 10^{+89}:\\ \;\;\;\;\left(\ell \cdot J\right) \cdot \left(\left(K \cdot K\right) \cdot -0.25\right)\\ \mathbf{else}:\\ \;\;\;\;t\_0\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (let* ((t_0 (* l (* J (+ 2.0 (* (* l l) 0.3333333333333333))))))
   (if (<= l -29.0)
     t_0
     (if (<= l 8.8e+17)
       (+ U (* J (* 2.0 l)))
       (if (<= l 3e+89) (* (* l J) (* (* K K) -0.25)) t_0)))))

C

double code(double J, double l, double K, double U) {
	double t_0 = l * (J * (2.0 + ((l * l) * 0.3333333333333333)));
	double tmp;
	if (l <= -29.0) {
		tmp = t_0;
	} else if (l <= 8.8e+17) {
		tmp = U + (J * (2.0 * l));
	} else if (l <= 3e+89) {
		tmp = (l * J) * ((K * K) * -0.25);
	} else {
		tmp = t_0;
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: t_0
    real(8) :: tmp
    t_0 = l * (j * (2.0d0 + ((l * l) * 0.3333333333333333d0)))
    if (l <= (-29.0d0)) then
        tmp = t_0
    else if (l <= 8.8d+17) then
        tmp = u + (j * (2.0d0 * l))
    else if (l <= 3d+89) then
        tmp = (l * j) * ((k * k) * (-0.25d0))
    else
        tmp = t_0
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double t_0 = l * (J * (2.0 + ((l * l) * 0.3333333333333333)));
	double tmp;
	if (l <= -29.0) {
		tmp = t_0;
	} else if (l <= 8.8e+17) {
		tmp = U + (J * (2.0 * l));
	} else if (l <= 3e+89) {
		tmp = (l * J) * ((K * K) * -0.25);
	} else {
		tmp = t_0;
	}
	return tmp;
}

Python

def code(J, l, K, U):
	t_0 = l * (J * (2.0 + ((l * l) * 0.3333333333333333)))
	tmp = 0
	if l <= -29.0:
		tmp = t_0
	elif l <= 8.8e+17:
		tmp = U + (J * (2.0 * l))
	elif l <= 3e+89:
		tmp = (l * J) * ((K * K) * -0.25)
	else:
		tmp = t_0
	return tmp

Julia

function code(J, l, K, U)
	t_0 = Float64(l * Float64(J * Float64(2.0 + Float64(Float64(l * l) * 0.3333333333333333))))
	tmp = 0.0
	if (l <= -29.0)
		tmp = t_0;
	elseif (l <= 8.8e+17)
		tmp = Float64(U + Float64(J * Float64(2.0 * l)));
	elseif (l <= 3e+89)
		tmp = Float64(Float64(l * J) * Float64(Float64(K * K) * -0.25));
	else
		tmp = t_0;
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	t_0 = l * (J * (2.0 + ((l * l) * 0.3333333333333333)));
	tmp = 0.0;
	if (l <= -29.0)
		tmp = t_0;
	elseif (l <= 8.8e+17)
		tmp = U + (J * (2.0 * l));
	elseif (l <= 3e+89)
		tmp = (l * J) * ((K * K) * -0.25);
	else
		tmp = t_0;
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := Block[{t$95$0 = N[(l * N[(J * N[(2.0 + N[(N[(l * l), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[l, -29.0], t$95$0, If[LessEqual[l, 8.8e+17], N[(U + N[(J * N[(2.0 * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[l, 3e+89], N[(N[(l * J), $MachinePrecision] * N[(N[(K * K), $MachinePrecision] * -0.25), $MachinePrecision]), $MachinePrecision], t$95$0]]]]

Derivation

1. Split input into 3 regimes

2. if l < -29 or 3.00000000000000013e89 < l

   1. Initial program 100.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 89.4%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 89.4%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]

   6. Taylor expanded in J around inf

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

      1. associate-*r* N/A

         \[\leadsto J \cdot \left(\left(\ell \cdot \cos \left(\frac{1}{2} \cdot K\right)\right) \cdot \color{blue}{\left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)}\right) \]

      2. associate-*r* N/A

         \[\leadsto \left(J \cdot \left(\ell \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right) \cdot \color{blue}{\left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)} \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(\left(J \cdot \left(\ell \cdot \cos \left(\frac{1}{2} \cdot K\right)\right)\right), \color{blue}{\left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)}\right) \]

      4. associate-*r* N/A

         \[\leadsto \mathsf{*.f64}\left(\left(\left(J \cdot \ell\right) \cdot \cos \left(\frac{1}{2} \cdot K\right)\right), \left(\color{blue}{2} + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      5. *-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(\left(\cos \left(\frac{1}{2} \cdot K\right) \cdot \left(J \cdot \ell\right)\right), \left(\color{blue}{2} + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      6. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\cos \left(\frac{1}{2} \cdot K\right), \left(J \cdot \ell\right)\right), \left(\color{blue}{2} + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      7. cos-lowering-cos.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\left(\frac{1}{2} \cdot K\right)\right), \left(J \cdot \ell\right)\right), \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      8. *-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\left(K \cdot \frac{1}{2}\right)\right), \left(J \cdot \ell\right)\right), \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      9. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(K, \frac{1}{2}\right)\right), \left(J \cdot \ell\right)\right), \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      10. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(K, \frac{1}{2}\right)\right), \mathsf{*.f64}\left(J, \ell\right)\right), \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \]

      11. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(K, \frac{1}{2}\right)\right), \mathsf{*.f64}\left(J, \ell\right)\right), \mathsf{+.f64}\left(2, \color{blue}{\left(\frac{1}{3} \cdot {\ell}^{2}\right)}\right)\right) \]

      12. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(K, \frac{1}{2}\right)\right), \mathsf{*.f64}\left(J, \ell\right)\right), \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \color{blue}{\left({\ell}^{2}\right)}\right)\right)\right) \]

      13. unpow2 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(K, \frac{1}{2}\right)\right), \mathsf{*.f64}\left(J, \ell\right)\right), \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \color{blue}{\ell}\right)\right)\right)\right) \]

      14. *-lowering-*.f64 82.7%

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cos.f64}\left(\mathsf{*.f64}\left(K, \frac{1}{2}\right)\right), \mathsf{*.f64}\left(J, \ell\right)\right), \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \color{blue}{\ell}\right)\right)\right)\right) \]

   8. Simplified 82.7%

      \[\leadsto \color{blue}{\left(\cos \left(K \cdot 0.5\right) \cdot \left(J \cdot \ell\right)\right) \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)} \]

   9. Taylor expanded in K around 0

      \[\leadsto \color{blue}{J \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)} \]
   10. Step-by-step derivation

       1. *-commutative N/A

          \[\leadsto \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \cdot \color{blue}{J} \]

       2. associate-*l* N/A

          \[\leadsto \ell \cdot \color{blue}{\left(\left(2 + \frac{1}{3} \cdot {\ell}^{2}\right) \cdot J\right)} \]

       3. *-commutative N/A

          \[\leadsto \ell \cdot \left(J \cdot \color{blue}{\left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)}\right) \]

       4. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\ell, \color{blue}{\left(J \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right) \]

       5. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(J, \color{blue}{\left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)}\right)\right) \]

       6. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(J, \mathsf{+.f64}\left(2, \color{blue}{\left(\frac{1}{3} \cdot {\ell}^{2}\right)}\right)\right)\right) \]

       7. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(J, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \color{blue}{\left({\ell}^{2}\right)}\right)\right)\right)\right) \]

       8. unpow2 N/A

          \[\leadsto \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(J, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \color{blue}{\ell}\right)\right)\right)\right)\right) \]

       9. *-lowering-*.f64 61.6%

          \[\leadsto \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(J, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \color{blue}{\ell}\right)\right)\right)\right)\right) \]

   11. Simplified 61.6%

       \[\leadsto \color{blue}{\ell \cdot \left(J \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)} \]

   if -29 < l < 8.8e17

   1. Initial program 75.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 73.7%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 73.7%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]

   6. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(2 \cdot \left(J \cdot \ell\right)\right)}, U\right) \]
   7. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(J \cdot \ell\right) \cdot 2\right), U\right) \]

      2. associate-*l* N/A

         \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(\ell \cdot 2\right)\right), U\right) \]

      3. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(2 \cdot \ell\right)\right), U\right) \]

      4. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(2 \cdot \ell\right)\right), U\right) \]

      5. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(\ell \cdot 2\right)\right), U\right) \]

      6. *-lowering-*.f64 83.5%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, 2\right)\right), U\right) \]

   8. Simplified 83.5%

      \[\leadsto \color{blue}{J \cdot \left(\ell \cdot 2\right)} + U \]

   if 8.8e17 < l < 3.00000000000000013e89

   1. Initial program 100.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 24.9%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 24.9%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]

   6. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \color{blue}{\left(1 + \frac{-1}{8} \cdot {K}^{2}\right)}\right), U\right) \]
   7. Step-by-step derivation

      1. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \left(\frac{-1}{8} \cdot {K}^{2}\right)\right)\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \left({K}^{2}\right)\right)\right)\right), U\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \left(K \cdot K\right)\right)\right)\right), U\right) \]

      4. *-lowering-*.f64 42.1%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \mathsf{*.f64}\left(K, K\right)\right)\right)\right), U\right) \]

   8. Simplified 42.1%

      \[\leadsto \left(J \cdot \left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)\right) \cdot \color{blue}{\left(1 + -0.125 \cdot \left(K \cdot K\right)\right)} + U \]

   9. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\color{blue}{\left(2 \cdot \left(J \cdot \ell\right)\right)}, \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \mathsf{*.f64}\left(K, K\right)\right)\right)\right), U\right) \]
   10. Step-by-step derivation

       1. associate-*r* N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(\left(2 \cdot J\right) \cdot \ell\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \mathsf{*.f64}\left(K, K\right)\right)\right)\right), U\right) \]

       2. *-commutative N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(\left(J \cdot 2\right) \cdot \ell\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \mathsf{*.f64}\left(K, K\right)\right)\right)\right), U\right) \]

       3. associate-*r* N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(J \cdot \left(2 \cdot \ell\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \mathsf{*.f64}\left(K, K\right)\right)\right)\right), U\right) \]

       4. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \left(2 \cdot \ell\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \mathsf{*.f64}\left(K, K\right)\right)\right)\right), U\right) \]

       5. *-lowering-*.f64 35.3%

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(2, \ell\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \mathsf{*.f64}\left(K, K\right)\right)\right)\right), U\right) \]

   11. Simplified 35.3%

       \[\leadsto \color{blue}{\left(J \cdot \left(2 \cdot \ell\right)\right)} \cdot \left(1 + -0.125 \cdot \left(K \cdot K\right)\right) + U \]

   12. Taylor expanded in K around inf

       \[\leadsto \color{blue}{\frac{-1}{4} \cdot \left(J \cdot \left({K}^{2} \cdot \ell\right)\right)} \]
   13. Step-by-step derivation

       1. *-commutative N/A

          \[\leadsto \frac{-1}{4} \cdot \left(J \cdot \left(\ell \cdot \color{blue}{{K}^{2}}\right)\right) \]

       2. associate-*r* N/A

          \[\leadsto \frac{-1}{4} \cdot \left(\left(J \cdot \ell\right) \cdot \color{blue}{{K}^{2}}\right) \]

       3. associate-*l* N/A

          \[\leadsto \left(\frac{-1}{4} \cdot \left(J \cdot \ell\right)\right) \cdot \color{blue}{{K}^{2}} \]

       4. *-commutative N/A

          \[\leadsto \left(\left(J \cdot \ell\right) \cdot \frac{-1}{4}\right) \cdot {\color{blue}{K}}^{2} \]

       5. associate-*l* N/A

          \[\leadsto \left(J \cdot \ell\right) \cdot \color{blue}{\left(\frac{-1}{4} \cdot {K}^{2}\right)} \]

       6. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\left(J \cdot \ell\right), \color{blue}{\left(\frac{-1}{4} \cdot {K}^{2}\right)}\right) \]

       7. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \ell\right), \left(\color{blue}{\frac{-1}{4}} \cdot {K}^{2}\right)\right) \]

       8. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \ell\right), \mathsf{*.f64}\left(\frac{-1}{4}, \color{blue}{\left({K}^{2}\right)}\right)\right) \]

       9. unpow2 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \ell\right), \mathsf{*.f64}\left(\frac{-1}{4}, \left(K \cdot \color{blue}{K}\right)\right)\right) \]

       10. *-lowering-*.f64 34.3%

           \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \ell\right), \mathsf{*.f64}\left(\frac{-1}{4}, \mathsf{*.f64}\left(K, \color{blue}{K}\right)\right)\right) \]

   14. Simplified 34.3%

       \[\leadsto \color{blue}{\left(J \cdot \ell\right) \cdot \left(-0.25 \cdot \left(K \cdot K\right)\right)} \]
3. Recombined 3 regimes into one program.

4. Final simplification 71.3%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq -29:\\ \;\;\;\;\ell \cdot \left(J \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\\ \mathbf{elif}\;\ell \leq 8.8 \cdot 10^{+17}:\\ \;\;\;\;U + J \cdot \left(2 \cdot \ell\right)\\ \mathbf{elif}\;\ell \leq 3 \cdot 10^{+89}:\\ \;\;\;\;\left(\ell \cdot J\right) \cdot \left(\left(K \cdot K\right) \cdot -0.25\right)\\ \mathbf{else}:\\ \;\;\;\;\ell \cdot \left(J \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 12: 75.7% accurate, 12.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\ell \leq 1.25 \cdot 10^{+247}:\\ \;\;\;\;U + J \cdot \left(\ell \cdot \left(2 + \ell \cdot \left(\ell \cdot \left(0.3333333333333333 + \left(\ell \cdot \ell\right) \cdot 0.016666666666666666\right)\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U + \left(J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\right) \cdot \left(1 + -0.125 \cdot \left(K \cdot K\right)\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (if (<= l 1.25e+247)
   (+
    U
    (*
     J
     (*
      l
      (+
       2.0
       (* l (* l (+ 0.3333333333333333 (* (* l l) 0.016666666666666666))))))))
   (+
    U
    (*
     (* J (* l (+ 2.0 (* (* l l) 0.3333333333333333))))
     (+ 1.0 (* -0.125 (* K K)))))))

C

double code(double J, double l, double K, double U) {
	double tmp;
	if (l <= 1.25e+247) {
		tmp = U + (J * (l * (2.0 + (l * (l * (0.3333333333333333 + ((l * l) * 0.016666666666666666)))))));
	} else {
		tmp = U + ((J * (l * (2.0 + ((l * l) * 0.3333333333333333)))) * (1.0 + (-0.125 * (K * K))));
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: tmp
    if (l <= 1.25d+247) then
        tmp = u + (j * (l * (2.0d0 + (l * (l * (0.3333333333333333d0 + ((l * l) * 0.016666666666666666d0)))))))
    else
        tmp = u + ((j * (l * (2.0d0 + ((l * l) * 0.3333333333333333d0)))) * (1.0d0 + ((-0.125d0) * (k * k))))
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double tmp;
	if (l <= 1.25e+247) {
		tmp = U + (J * (l * (2.0 + (l * (l * (0.3333333333333333 + ((l * l) * 0.016666666666666666)))))));
	} else {
		tmp = U + ((J * (l * (2.0 + ((l * l) * 0.3333333333333333)))) * (1.0 + (-0.125 * (K * K))));
	}
	return tmp;
}

Python

def code(J, l, K, U):
	tmp = 0
	if l <= 1.25e+247:
		tmp = U + (J * (l * (2.0 + (l * (l * (0.3333333333333333 + ((l * l) * 0.016666666666666666)))))))
	else:
		tmp = U + ((J * (l * (2.0 + ((l * l) * 0.3333333333333333)))) * (1.0 + (-0.125 * (K * K))))
	return tmp

Julia

function code(J, l, K, U)
	tmp = 0.0
	if (l <= 1.25e+247)
		tmp = Float64(U + Float64(J * Float64(l * Float64(2.0 + Float64(l * Float64(l * Float64(0.3333333333333333 + Float64(Float64(l * l) * 0.016666666666666666))))))));
	else
		tmp = Float64(U + Float64(Float64(J * Float64(l * Float64(2.0 + Float64(Float64(l * l) * 0.3333333333333333)))) * Float64(1.0 + Float64(-0.125 * Float64(K * K)))));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	tmp = 0.0;
	if (l <= 1.25e+247)
		tmp = U + (J * (l * (2.0 + (l * (l * (0.3333333333333333 + ((l * l) * 0.016666666666666666)))))));
	else
		tmp = U + ((J * (l * (2.0 + ((l * l) * 0.3333333333333333)))) * (1.0 + (-0.125 * (K * K))));
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := If[LessEqual[l, 1.25e+247], N[(U + N[(J * N[(l * N[(2.0 + N[(l * N[(l * N[(0.3333333333333333 + N[(N[(l * l), $MachinePrecision] * 0.016666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(U + N[(N[(J * N[(l * N[(2.0 + N[(N[(l * l), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(-0.125 * N[(K * K), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if l < 1.25000000000000006e247

   1. Initial program 86.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 76.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 76.0%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]

   6. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + {\ell}^{2} \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)}\right), U\right) \]
   7. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + {\ell}^{2} \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left({\ell}^{2} \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right), U\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\left(\ell \cdot \ell\right) \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right), U\right) \]

      4. associate-*l* N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\ell \cdot \left(\ell \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \left(\ell \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), U\right) \]

      6. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), U\right) \]

      7. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \left(\frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right), U\right) \]

      8. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \left({\ell}^{2} \cdot \frac{1}{60}\right)\right)\right)\right)\right)\right)\right), U\right) \]

      9. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\left({\ell}^{2}\right), \frac{1}{60}\right)\right)\right)\right)\right)\right)\right), U\right) \]

      10. unpow2 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\left(\ell \cdot \ell\right), \frac{1}{60}\right)\right)\right)\right)\right)\right)\right), U\right) \]

      11. *-lowering-*.f64 77.0%

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \frac{1}{60}\right)\right)\right)\right)\right)\right)\right), U\right) \]

   8. Simplified 77.0%

      \[\leadsto J \cdot \color{blue}{\left(\ell \cdot \left(2 + \ell \cdot \left(\ell \cdot \left(0.3333333333333333 + \left(\ell \cdot \ell\right) \cdot 0.016666666666666666\right)\right)\right)\right)} + U \]

   if 1.25000000000000006e247 < l

   1. Initial program 100.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 100.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 100.0%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]

   6. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \color{blue}{\left(1 + \frac{-1}{8} \cdot {K}^{2}\right)}\right), U\right) \]
   7. Step-by-step derivation

      1. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \left(\frac{-1}{8} \cdot {K}^{2}\right)\right)\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \left({K}^{2}\right)\right)\right)\right), U\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \left(K \cdot K\right)\right)\right)\right), U\right) \]

      4. *-lowering-*.f64 85.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \mathsf{*.f64}\left(K, K\right)\right)\right)\right), U\right) \]

   8. Simplified 85.0%

      \[\leadsto \left(J \cdot \left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)\right) \cdot \color{blue}{\left(1 + -0.125 \cdot \left(K \cdot K\right)\right)} + U \]
3. Recombined 2 regimes into one program.

4. Final simplification 77.6%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq 1.25 \cdot 10^{+247}:\\ \;\;\;\;U + J \cdot \left(\ell \cdot \left(2 + \ell \cdot \left(\ell \cdot \left(0.3333333333333333 + \left(\ell \cdot \ell\right) \cdot 0.016666666666666666\right)\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U + \left(J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\right) \cdot \left(1 + -0.125 \cdot \left(K \cdot K\right)\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 13: 75.7% accurate, 13.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\ell \leq 10^{+247}:\\ \;\;\;\;U + J \cdot \left(\ell \cdot \left(2 + \ell \cdot \left(\ell \cdot \left(0.3333333333333333 + \left(\ell \cdot \ell\right) \cdot 0.016666666666666666\right)\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\ell \cdot \left(\left(1 + -0.125 \cdot \left(K \cdot K\right)\right) \cdot \left(J \cdot \left(\left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (if (<= l 1e+247)
   (+
    U
    (*
     J
     (*
      l
      (+
       2.0
       (* l (* l (+ 0.3333333333333333 (* (* l l) 0.016666666666666666))))))))
   (* l (* (+ 1.0 (* -0.125 (* K K))) (* J (* (* l l) 0.3333333333333333))))))

C

double code(double J, double l, double K, double U) {
	double tmp;
	if (l <= 1e+247) {
		tmp = U + (J * (l * (2.0 + (l * (l * (0.3333333333333333 + ((l * l) * 0.016666666666666666)))))));
	} else {
		tmp = l * ((1.0 + (-0.125 * (K * K))) * (J * ((l * l) * 0.3333333333333333)));
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: tmp
    if (l <= 1d+247) then
        tmp = u + (j * (l * (2.0d0 + (l * (l * (0.3333333333333333d0 + ((l * l) * 0.016666666666666666d0)))))))
    else
        tmp = l * ((1.0d0 + ((-0.125d0) * (k * k))) * (j * ((l * l) * 0.3333333333333333d0)))
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double tmp;
	if (l <= 1e+247) {
		tmp = U + (J * (l * (2.0 + (l * (l * (0.3333333333333333 + ((l * l) * 0.016666666666666666)))))));
	} else {
		tmp = l * ((1.0 + (-0.125 * (K * K))) * (J * ((l * l) * 0.3333333333333333)));
	}
	return tmp;
}

Python

def code(J, l, K, U):
	tmp = 0
	if l <= 1e+247:
		tmp = U + (J * (l * (2.0 + (l * (l * (0.3333333333333333 + ((l * l) * 0.016666666666666666)))))))
	else:
		tmp = l * ((1.0 + (-0.125 * (K * K))) * (J * ((l * l) * 0.3333333333333333)))
	return tmp

Julia

function code(J, l, K, U)
	tmp = 0.0
	if (l <= 1e+247)
		tmp = Float64(U + Float64(J * Float64(l * Float64(2.0 + Float64(l * Float64(l * Float64(0.3333333333333333 + Float64(Float64(l * l) * 0.016666666666666666))))))));
	else
		tmp = Float64(l * Float64(Float64(1.0 + Float64(-0.125 * Float64(K * K))) * Float64(J * Float64(Float64(l * l) * 0.3333333333333333))));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	tmp = 0.0;
	if (l <= 1e+247)
		tmp = U + (J * (l * (2.0 + (l * (l * (0.3333333333333333 + ((l * l) * 0.016666666666666666)))))));
	else
		tmp = l * ((1.0 + (-0.125 * (K * K))) * (J * ((l * l) * 0.3333333333333333)));
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := If[LessEqual[l, 1e+247], N[(U + N[(J * N[(l * N[(2.0 + N[(l * N[(l * N[(0.3333333333333333 + N[(N[(l * l), $MachinePrecision] * 0.016666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(N[(1.0 + N[(-0.125 * N[(K * K), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(J * N[(N[(l * l), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if l < 9.99999999999999952e246

   1. Initial program 86.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 76.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 76.0%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]

   6. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + {\ell}^{2} \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)}\right), U\right) \]
   7. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + {\ell}^{2} \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left({\ell}^{2} \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right), U\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\left(\ell \cdot \ell\right) \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right), U\right) \]

      4. associate-*l* N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\ell \cdot \left(\ell \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \left(\ell \cdot \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), U\right) \]

      6. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \left(\frac{1}{3} + \frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right), U\right) \]

      7. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \left(\frac{1}{60} \cdot {\ell}^{2}\right)\right)\right)\right)\right)\right)\right), U\right) \]

      8. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \left({\ell}^{2} \cdot \frac{1}{60}\right)\right)\right)\right)\right)\right)\right), U\right) \]

      9. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\left({\ell}^{2}\right), \frac{1}{60}\right)\right)\right)\right)\right)\right)\right), U\right) \]

      10. unpow2 N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\left(\ell \cdot \ell\right), \frac{1}{60}\right)\right)\right)\right)\right)\right)\right), U\right) \]

      11. *-lowering-*.f64 77.0%

          \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \ell\right), \frac{1}{60}\right)\right)\right)\right)\right)\right)\right), U\right) \]

   8. Simplified 77.0%

      \[\leadsto J \cdot \color{blue}{\left(\ell \cdot \left(2 + \ell \cdot \left(\ell \cdot \left(0.3333333333333333 + \left(\ell \cdot \ell\right) \cdot 0.016666666666666666\right)\right)\right)\right)} + U \]

   if 9.99999999999999952e246 < l

   1. Initial program 100.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 100.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 100.0%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]

   6. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \color{blue}{\left(1 + \frac{-1}{8} \cdot {K}^{2}\right)}\right), U\right) \]
   7. Step-by-step derivation

      1. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \left(\frac{-1}{8} \cdot {K}^{2}\right)\right)\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \left({K}^{2}\right)\right)\right)\right), U\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \left(K \cdot K\right)\right)\right)\right), U\right) \]

      4. *-lowering-*.f64 85.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \mathsf{*.f64}\left(K, K\right)\right)\right)\right), U\right) \]

   8. Simplified 85.0%

      \[\leadsto \left(J \cdot \left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)\right) \cdot \color{blue}{\left(1 + -0.125 \cdot \left(K \cdot K\right)\right)} + U \]

   9. Taylor expanded in l around inf

      \[\leadsto \color{blue}{\frac{1}{3} \cdot \left(J \cdot \left({\ell}^{3} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right)} \]
   10. Step-by-step derivation

       1. associate-*r* N/A

          \[\leadsto \left(\frac{1}{3} \cdot J\right) \cdot \color{blue}{\left({\ell}^{3} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)} \]

       2. *-commutative N/A

          \[\leadsto \left(\frac{1}{3} \cdot J\right) \cdot \left(\left(1 + \frac{-1}{8} \cdot {K}^{2}\right) \cdot \color{blue}{{\ell}^{3}}\right) \]

       3. unpow3 N/A

          \[\leadsto \left(\frac{1}{3} \cdot J\right) \cdot \left(\left(1 + \frac{-1}{8} \cdot {K}^{2}\right) \cdot \left(\left(\ell \cdot \ell\right) \cdot \color{blue}{\ell}\right)\right) \]

       4. unpow2 N/A

          \[\leadsto \left(\frac{1}{3} \cdot J\right) \cdot \left(\left(1 + \frac{-1}{8} \cdot {K}^{2}\right) \cdot \left({\ell}^{2} \cdot \ell\right)\right) \]

       5. associate-*r* N/A

          \[\leadsto \left(\frac{1}{3} \cdot J\right) \cdot \left(\left(\left(1 + \frac{-1}{8} \cdot {K}^{2}\right) \cdot {\ell}^{2}\right) \cdot \color{blue}{\ell}\right) \]

       6. *-commutative N/A

          \[\leadsto \left(\frac{1}{3} \cdot J\right) \cdot \left(\left({\ell}^{2} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right) \cdot \ell\right) \]

       7. associate-*l* N/A

          \[\leadsto \left(\left(\frac{1}{3} \cdot J\right) \cdot \left({\ell}^{2} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right) \cdot \color{blue}{\ell} \]

       8. associate-*r* N/A

          \[\leadsto \left(\frac{1}{3} \cdot \left(J \cdot \left({\ell}^{2} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right)\right) \cdot \ell \]

       9. *-commutative N/A

          \[\leadsto \ell \cdot \color{blue}{\left(\frac{1}{3} \cdot \left(J \cdot \left({\ell}^{2} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right)\right)} \]

       10. *-lowering-*.f64 N/A

           \[\leadsto \mathsf{*.f64}\left(\ell, \color{blue}{\left(\frac{1}{3} \cdot \left(J \cdot \left({\ell}^{2} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right)\right)}\right) \]

       11. associate-*r* N/A

           \[\leadsto \mathsf{*.f64}\left(\ell, \left(\frac{1}{3} \cdot \left(\left(J \cdot {\ell}^{2}\right) \cdot \color{blue}{\left(1 + \frac{-1}{8} \cdot {K}^{2}\right)}\right)\right)\right) \]

       12. associate-*r* N/A

           \[\leadsto \mathsf{*.f64}\left(\ell, \left(\left(\frac{1}{3} \cdot \left(J \cdot {\ell}^{2}\right)\right) \cdot \color{blue}{\left(1 + \frac{-1}{8} \cdot {K}^{2}\right)}\right)\right) \]

       13. *-commutative N/A

           \[\leadsto \mathsf{*.f64}\left(\ell, \left(\left(\frac{1}{3} \cdot \left({\ell}^{2} \cdot J\right)\right) \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right) \]

       14. associate-*r* N/A

           \[\leadsto \mathsf{*.f64}\left(\ell, \left(\left(\left(\frac{1}{3} \cdot {\ell}^{2}\right) \cdot J\right) \cdot \left(\color{blue}{1} + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right) \]

       15. *-lowering-*.f64 N/A

           \[\leadsto \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\left(\left(\frac{1}{3} \cdot {\ell}^{2}\right) \cdot J\right), \color{blue}{\left(1 + \frac{-1}{8} \cdot {K}^{2}\right)}\right)\right) \]

   11. Simplified 85.0%

       \[\leadsto \color{blue}{\ell \cdot \left(\left(J \cdot \left(0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right) \cdot \left(1 + -0.125 \cdot \left(K \cdot K\right)\right)\right)} \]
3. Recombined 2 regimes into one program.

4. Final simplification 77.6%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq 10^{+247}:\\ \;\;\;\;U + J \cdot \left(\ell \cdot \left(2 + \ell \cdot \left(\ell \cdot \left(0.3333333333333333 + \left(\ell \cdot \ell\right) \cdot 0.016666666666666666\right)\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\ell \cdot \left(\left(1 + -0.125 \cdot \left(K \cdot K\right)\right) \cdot \left(J \cdot \left(\left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 14: 73.0% accurate, 14.2× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\ell \leq 6.6 \cdot 10^{-5}:\\ \;\;\;\;U + J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\ell \cdot \left(\ell \cdot \ell\right)\right) \cdot \left(J \cdot 0.3333333333333333 + \left(J \cdot \left(K \cdot K\right)\right) \cdot -0.041666666666666664\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (if (<= l 6.6e-5)
   (+ U (* J (* l (+ 2.0 (* (* l l) 0.3333333333333333)))))
   (*
    (* l (* l l))
    (+ (* J 0.3333333333333333) (* (* J (* K K)) -0.041666666666666664)))))

C

double code(double J, double l, double K, double U) {
	double tmp;
	if (l <= 6.6e-5) {
		tmp = U + (J * (l * (2.0 + ((l * l) * 0.3333333333333333))));
	} else {
		tmp = (l * (l * l)) * ((J * 0.3333333333333333) + ((J * (K * K)) * -0.041666666666666664));
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: tmp
    if (l <= 6.6d-5) then
        tmp = u + (j * (l * (2.0d0 + ((l * l) * 0.3333333333333333d0))))
    else
        tmp = (l * (l * l)) * ((j * 0.3333333333333333d0) + ((j * (k * k)) * (-0.041666666666666664d0)))
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double tmp;
	if (l <= 6.6e-5) {
		tmp = U + (J * (l * (2.0 + ((l * l) * 0.3333333333333333))));
	} else {
		tmp = (l * (l * l)) * ((J * 0.3333333333333333) + ((J * (K * K)) * -0.041666666666666664));
	}
	return tmp;
}

Python

def code(J, l, K, U):
	tmp = 0
	if l <= 6.6e-5:
		tmp = U + (J * (l * (2.0 + ((l * l) * 0.3333333333333333))))
	else:
		tmp = (l * (l * l)) * ((J * 0.3333333333333333) + ((J * (K * K)) * -0.041666666666666664))
	return tmp

Julia

function code(J, l, K, U)
	tmp = 0.0
	if (l <= 6.6e-5)
		tmp = Float64(U + Float64(J * Float64(l * Float64(2.0 + Float64(Float64(l * l) * 0.3333333333333333)))));
	else
		tmp = Float64(Float64(l * Float64(l * l)) * Float64(Float64(J * 0.3333333333333333) + Float64(Float64(J * Float64(K * K)) * -0.041666666666666664)));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	tmp = 0.0;
	if (l <= 6.6e-5)
		tmp = U + (J * (l * (2.0 + ((l * l) * 0.3333333333333333))));
	else
		tmp = (l * (l * l)) * ((J * 0.3333333333333333) + ((J * (K * K)) * -0.041666666666666664));
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := If[LessEqual[l, 6.6e-5], N[(U + N[(J * N[(l * N[(2.0 + N[(N[(l * l), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l * N[(l * l), $MachinePrecision]), $MachinePrecision] * N[(N[(J * 0.3333333333333333), $MachinePrecision] + N[(N[(J * N[(K * K), $MachinePrecision]), $MachinePrecision] * -0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if l < 6.6000000000000005e-5

   1. Initial program 83.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 76.3%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 76.3%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]

   6. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), U\right) \]
   7. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 78.6%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), U\right) \]

   8. Simplified 78.6%

      \[\leadsto J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)} + U \]

   if 6.6000000000000005e-5 < l

   1. Initial program 99.7%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 77.5%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 77.5%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]

   6. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(\frac{-1}{8} \cdot \left(J \cdot \left({K}^{2} \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right) + J \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)}, U\right) \]
   7. Step-by-step derivation

      1. associate-*r* N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(\frac{-1}{8} \cdot J\right) \cdot \left({K}^{2} \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right) + J \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), U\right) \]

      2. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(\frac{-1}{8} \cdot J\right) \cdot \left(\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right) \cdot {K}^{2}\right) + J \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), U\right) \]

      3. associate-*r* N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(\left(\frac{-1}{8} \cdot J\right) \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right) \cdot {K}^{2} + J \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), U\right) \]

      4. associate-*r* N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(\frac{-1}{8} \cdot \left(J \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right) \cdot {K}^{2} + J \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), U\right) \]

      5. +-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right) + \left(\frac{-1}{8} \cdot \left(J \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right) \cdot {K}^{2}\right), U\right) \]

      6. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(\left(J \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), \left(\left(\frac{-1}{8} \cdot \left(J \cdot \left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right) \cdot {K}^{2}\right)\right), U\right) \]

   8. Simplified 5.4%

      \[\leadsto \color{blue}{\left(\ell \cdot \left(J \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right) + \left(\left(K \cdot K\right) \cdot \left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)\right) \cdot \left(J \cdot -0.125\right)\right)} + U \]

   9. Taylor expanded in l around inf

      \[\leadsto \color{blue}{{\ell}^{3} \cdot \left(\frac{-1}{24} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{3} \cdot J\right)} \]
   10. Step-by-step derivation

       1. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\left({\ell}^{3}\right), \color{blue}{\left(\frac{-1}{24} \cdot \left(J \cdot {K}^{2}\right) + \frac{1}{3} \cdot J\right)}\right) \]

       2. cube-mult N/A

          \[\leadsto \mathsf{*.f64}\left(\left(\ell \cdot \left(\ell \cdot \ell\right)\right), \left(\color{blue}{\frac{-1}{24} \cdot \left(J \cdot {K}^{2}\right)} + \frac{1}{3} \cdot J\right)\right) \]

       3. unpow2 N/A

          \[\leadsto \mathsf{*.f64}\left(\left(\ell \cdot {\ell}^{2}\right), \left(\frac{-1}{24} \cdot \color{blue}{\left(J \cdot {K}^{2}\right)} + \frac{1}{3} \cdot J\right)\right) \]

       4. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \left({\ell}^{2}\right)\right), \left(\color{blue}{\frac{-1}{24} \cdot \left(J \cdot {K}^{2}\right)} + \frac{1}{3} \cdot J\right)\right) \]

       5. unpow2 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \left(\ell \cdot \ell\right)\right), \left(\frac{-1}{24} \cdot \color{blue}{\left(J \cdot {K}^{2}\right)} + \frac{1}{3} \cdot J\right)\right) \]

       6. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \ell\right)\right), \left(\frac{-1}{24} \cdot \color{blue}{\left(J \cdot {K}^{2}\right)} + \frac{1}{3} \cdot J\right)\right) \]

       7. +-commutative N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \ell\right)\right), \left(\frac{1}{3} \cdot J + \color{blue}{\frac{-1}{24} \cdot \left(J \cdot {K}^{2}\right)}\right)\right) \]

       8. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \ell\right)\right), \mathsf{+.f64}\left(\left(\frac{1}{3} \cdot J\right), \color{blue}{\left(\frac{-1}{24} \cdot \left(J \cdot {K}^{2}\right)\right)}\right)\right) \]

       9. *-commutative N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \ell\right)\right), \mathsf{+.f64}\left(\left(J \cdot \frac{1}{3}\right), \left(\color{blue}{\frac{-1}{24}} \cdot \left(J \cdot {K}^{2}\right)\right)\right)\right) \]

       10. *-lowering-*.f64 N/A

           \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \ell\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \frac{1}{3}\right), \left(\color{blue}{\frac{-1}{24}} \cdot \left(J \cdot {K}^{2}\right)\right)\right)\right) \]

       11. *-commutative N/A

           \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \ell\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \frac{1}{3}\right), \left(\left(J \cdot {K}^{2}\right) \cdot \color{blue}{\frac{-1}{24}}\right)\right)\right) \]

       12. *-lowering-*.f64 N/A

           \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \ell\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \frac{1}{3}\right), \mathsf{*.f64}\left(\left(J \cdot {K}^{2}\right), \color{blue}{\frac{-1}{24}}\right)\right)\right) \]

       13. *-lowering-*.f64 N/A

           \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \ell\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \frac{1}{3}\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \left({K}^{2}\right)\right), \frac{-1}{24}\right)\right)\right) \]

       14. unpow2 N/A

           \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \ell\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \frac{1}{3}\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \left(K \cdot K\right)\right), \frac{-1}{24}\right)\right)\right) \]

       15. *-lowering-*.f64 61.2%

           \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\ell, \ell\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \frac{1}{3}\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(K, K\right)\right), \frac{-1}{24}\right)\right)\right) \]

   11. Simplified 61.2%

       \[\leadsto \color{blue}{\left(\ell \cdot \left(\ell \cdot \ell\right)\right) \cdot \left(J \cdot 0.3333333333333333 + \left(J \cdot \left(K \cdot K\right)\right) \cdot -0.041666666666666664\right)} \]
3. Recombined 2 regimes into one program.

4. Final simplification 74.3%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq 6.6 \cdot 10^{-5}:\\ \;\;\;\;U + J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\ell \cdot \left(\ell \cdot \ell\right)\right) \cdot \left(J \cdot 0.3333333333333333 + \left(J \cdot \left(K \cdot K\right)\right) \cdot -0.041666666666666664\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 15: 72.3% accurate, 14.2× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\\ \mathbf{if}\;\ell \leq 1.5 \cdot 10^{+247}:\\ \;\;\;\;U + J \cdot \left(\ell \cdot \left(2 + t\_0\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\ell \cdot \left(\left(1 + -0.125 \cdot \left(K \cdot K\right)\right) \cdot \left(J \cdot t\_0\right)\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (let* ((t_0 (* (* l l) 0.3333333333333333)))
   (if (<= l 1.5e+247)
     (+ U (* J (* l (+ 2.0 t_0))))
     (* l (* (+ 1.0 (* -0.125 (* K K))) (* J t_0))))))

C

double code(double J, double l, double K, double U) {
	double t_0 = (l * l) * 0.3333333333333333;
	double tmp;
	if (l <= 1.5e+247) {
		tmp = U + (J * (l * (2.0 + t_0)));
	} else {
		tmp = l * ((1.0 + (-0.125 * (K * K))) * (J * t_0));
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: t_0
    real(8) :: tmp
    t_0 = (l * l) * 0.3333333333333333d0
    if (l <= 1.5d+247) then
        tmp = u + (j * (l * (2.0d0 + t_0)))
    else
        tmp = l * ((1.0d0 + ((-0.125d0) * (k * k))) * (j * t_0))
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double t_0 = (l * l) * 0.3333333333333333;
	double tmp;
	if (l <= 1.5e+247) {
		tmp = U + (J * (l * (2.0 + t_0)));
	} else {
		tmp = l * ((1.0 + (-0.125 * (K * K))) * (J * t_0));
	}
	return tmp;
}

Python

def code(J, l, K, U):
	t_0 = (l * l) * 0.3333333333333333
	tmp = 0
	if l <= 1.5e+247:
		tmp = U + (J * (l * (2.0 + t_0)))
	else:
		tmp = l * ((1.0 + (-0.125 * (K * K))) * (J * t_0))
	return tmp

Julia

function code(J, l, K, U)
	t_0 = Float64(Float64(l * l) * 0.3333333333333333)
	tmp = 0.0
	if (l <= 1.5e+247)
		tmp = Float64(U + Float64(J * Float64(l * Float64(2.0 + t_0))));
	else
		tmp = Float64(l * Float64(Float64(1.0 + Float64(-0.125 * Float64(K * K))) * Float64(J * t_0)));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	t_0 = (l * l) * 0.3333333333333333;
	tmp = 0.0;
	if (l <= 1.5e+247)
		tmp = U + (J * (l * (2.0 + t_0)));
	else
		tmp = l * ((1.0 + (-0.125 * (K * K))) * (J * t_0));
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := Block[{t$95$0 = N[(N[(l * l), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]}, If[LessEqual[l, 1.5e+247], N[(U + N[(J * N[(l * N[(2.0 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(N[(1.0 + N[(-0.125 * N[(K * K), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(J * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if l < 1.5e247

   1. Initial program 86.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 76.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 76.0%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]

   6. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), U\right) \]
   7. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 73.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), U\right) \]

   8. Simplified 73.0%

      \[\leadsto J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)} + U \]

   if 1.5e247 < l

   1. Initial program 100.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      2. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      3. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      4. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

      5. *-lowering-*.f64 100.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{cos.f64}\left(\mathsf{/.f64}\left(K, 2\right)\right)\right), U\right) \]

   5. Simplified 100.0%

      \[\leadsto \left(J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)}\right) \cdot \cos \left(\frac{K}{2}\right) + U \]

   6. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \color{blue}{\left(1 + \frac{-1}{8} \cdot {K}^{2}\right)}\right), U\right) \]
   7. Step-by-step derivation

      1. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \left(\frac{-1}{8} \cdot {K}^{2}\right)\right)\right), U\right) \]

      2. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \left({K}^{2}\right)\right)\right)\right), U\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \left(K \cdot K\right)\right)\right)\right), U\right) \]

      4. *-lowering-*.f64 85.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(\frac{-1}{8}, \mathsf{*.f64}\left(K, K\right)\right)\right)\right), U\right) \]

   8. Simplified 85.0%

      \[\leadsto \left(J \cdot \left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)\right) \cdot \color{blue}{\left(1 + -0.125 \cdot \left(K \cdot K\right)\right)} + U \]

   9. Taylor expanded in l around inf

      \[\leadsto \color{blue}{\frac{1}{3} \cdot \left(J \cdot \left({\ell}^{3} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right)} \]
   10. Step-by-step derivation

       1. associate-*r* N/A

          \[\leadsto \left(\frac{1}{3} \cdot J\right) \cdot \color{blue}{\left({\ell}^{3} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)} \]

       2. *-commutative N/A

          \[\leadsto \left(\frac{1}{3} \cdot J\right) \cdot \left(\left(1 + \frac{-1}{8} \cdot {K}^{2}\right) \cdot \color{blue}{{\ell}^{3}}\right) \]

       3. unpow3 N/A

          \[\leadsto \left(\frac{1}{3} \cdot J\right) \cdot \left(\left(1 + \frac{-1}{8} \cdot {K}^{2}\right) \cdot \left(\left(\ell \cdot \ell\right) \cdot \color{blue}{\ell}\right)\right) \]

       4. unpow2 N/A

          \[\leadsto \left(\frac{1}{3} \cdot J\right) \cdot \left(\left(1 + \frac{-1}{8} \cdot {K}^{2}\right) \cdot \left({\ell}^{2} \cdot \ell\right)\right) \]

       5. associate-*r* N/A

          \[\leadsto \left(\frac{1}{3} \cdot J\right) \cdot \left(\left(\left(1 + \frac{-1}{8} \cdot {K}^{2}\right) \cdot {\ell}^{2}\right) \cdot \color{blue}{\ell}\right) \]

       6. *-commutative N/A

          \[\leadsto \left(\frac{1}{3} \cdot J\right) \cdot \left(\left({\ell}^{2} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right) \cdot \ell\right) \]

       7. associate-*l* N/A

          \[\leadsto \left(\left(\frac{1}{3} \cdot J\right) \cdot \left({\ell}^{2} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right) \cdot \color{blue}{\ell} \]

       8. associate-*r* N/A

          \[\leadsto \left(\frac{1}{3} \cdot \left(J \cdot \left({\ell}^{2} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right)\right) \cdot \ell \]

       9. *-commutative N/A

          \[\leadsto \ell \cdot \color{blue}{\left(\frac{1}{3} \cdot \left(J \cdot \left({\ell}^{2} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right)\right)} \]

       10. *-lowering-*.f64 N/A

           \[\leadsto \mathsf{*.f64}\left(\ell, \color{blue}{\left(\frac{1}{3} \cdot \left(J \cdot \left({\ell}^{2} \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right)\right)}\right) \]

       11. associate-*r* N/A

           \[\leadsto \mathsf{*.f64}\left(\ell, \left(\frac{1}{3} \cdot \left(\left(J \cdot {\ell}^{2}\right) \cdot \color{blue}{\left(1 + \frac{-1}{8} \cdot {K}^{2}\right)}\right)\right)\right) \]

       12. associate-*r* N/A

           \[\leadsto \mathsf{*.f64}\left(\ell, \left(\left(\frac{1}{3} \cdot \left(J \cdot {\ell}^{2}\right)\right) \cdot \color{blue}{\left(1 + \frac{-1}{8} \cdot {K}^{2}\right)}\right)\right) \]

       13. *-commutative N/A

           \[\leadsto \mathsf{*.f64}\left(\ell, \left(\left(\frac{1}{3} \cdot \left({\ell}^{2} \cdot J\right)\right) \cdot \left(1 + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right) \]

       14. associate-*r* N/A

           \[\leadsto \mathsf{*.f64}\left(\ell, \left(\left(\left(\frac{1}{3} \cdot {\ell}^{2}\right) \cdot J\right) \cdot \left(\color{blue}{1} + \frac{-1}{8} \cdot {K}^{2}\right)\right)\right) \]

       15. *-lowering-*.f64 N/A

           \[\leadsto \mathsf{*.f64}\left(\ell, \mathsf{*.f64}\left(\left(\left(\frac{1}{3} \cdot {\ell}^{2}\right) \cdot J\right), \color{blue}{\left(1 + \frac{-1}{8} \cdot {K}^{2}\right)}\right)\right) \]

   11. Simplified 85.0%

       \[\leadsto \color{blue}{\ell \cdot \left(\left(J \cdot \left(0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right) \cdot \left(1 + -0.125 \cdot \left(K \cdot K\right)\right)\right)} \]
3. Recombined 2 regimes into one program.

4. Final simplification 74.0%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq 1.5 \cdot 10^{+247}:\\ \;\;\;\;U + J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\ell \cdot \left(\left(1 + -0.125 \cdot \left(K \cdot K\right)\right) \cdot \left(J \cdot \left(\left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right)\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 16: 46.6% accurate, 20.8× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := J \cdot \left(2 \cdot \ell\right)\\ \mathbf{if}\;\ell \leq -29:\\ \;\;\;\;t\_0\\ \mathbf{elif}\;\ell \leq 1200:\\ \;\;\;\;U\\ \mathbf{else}:\\ \;\;\;\;t\_0\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (let* ((t_0 (* J (* 2.0 l)))) (if (<= l -29.0) t_0 (if (<= l 1200.0) U t_0))))

C

double code(double J, double l, double K, double U) {
	double t_0 = J * (2.0 * l);
	double tmp;
	if (l <= -29.0) {
		tmp = t_0;
	} else if (l <= 1200.0) {
		tmp = U;
	} else {
		tmp = t_0;
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: t_0
    real(8) :: tmp
    t_0 = j * (2.0d0 * l)
    if (l <= (-29.0d0)) then
        tmp = t_0
    else if (l <= 1200.0d0) then
        tmp = u
    else
        tmp = t_0
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double t_0 = J * (2.0 * l);
	double tmp;
	if (l <= -29.0) {
		tmp = t_0;
	} else if (l <= 1200.0) {
		tmp = U;
	} else {
		tmp = t_0;
	}
	return tmp;
}

Python

def code(J, l, K, U):
	t_0 = J * (2.0 * l)
	tmp = 0
	if l <= -29.0:
		tmp = t_0
	elif l <= 1200.0:
		tmp = U
	else:
		tmp = t_0
	return tmp

Julia

function code(J, l, K, U)
	t_0 = Float64(J * Float64(2.0 * l))
	tmp = 0.0
	if (l <= -29.0)
		tmp = t_0;
	elseif (l <= 1200.0)
		tmp = U;
	else
		tmp = t_0;
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	t_0 = J * (2.0 * l);
	tmp = 0.0;
	if (l <= -29.0)
		tmp = t_0;
	elseif (l <= 1200.0)
		tmp = U;
	else
		tmp = t_0;
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := Block[{t$95$0 = N[(J * N[(2.0 * l), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[l, -29.0], t$95$0, If[LessEqual[l, 1200.0], U, t$95$0]]]

Derivation

1. Split input into 2 regimes

2. if l < -29 or 1200 < l

   1. Initial program 100.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 76.2%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 76.2%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]

   6. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(2 \cdot \left(J \cdot \ell\right)\right)}, U\right) \]
   7. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(J \cdot \ell\right) \cdot 2\right), U\right) \]

      2. associate-*l* N/A

         \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(\ell \cdot 2\right)\right), U\right) \]

      3. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(2 \cdot \ell\right)\right), U\right) \]

      4. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(2 \cdot \ell\right)\right), U\right) \]

      5. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(\ell \cdot 2\right)\right), U\right) \]

      6. *-lowering-*.f64 21.7%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, 2\right)\right), U\right) \]

   8. Simplified 21.7%

      \[\leadsto \color{blue}{J \cdot \left(\ell \cdot 2\right)} + U \]

   9. Taylor expanded in J around inf

      \[\leadsto \color{blue}{2 \cdot \left(J \cdot \ell\right)} \]
   10. Step-by-step derivation

       1. associate-*r* N/A

          \[\leadsto \left(2 \cdot J\right) \cdot \color{blue}{\ell} \]

       2. *-commutative N/A

          \[\leadsto \left(J \cdot 2\right) \cdot \ell \]

       3. associate-*r* N/A

          \[\leadsto J \cdot \color{blue}{\left(2 \cdot \ell\right)} \]

       4. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(J, \color{blue}{\left(2 \cdot \ell\right)}\right) \]

       5. *-lowering-*.f64 21.7%

          \[\leadsto \mathsf{*.f64}\left(J, \mathsf{*.f64}\left(2, \color{blue}{\ell}\right)\right) \]

   11. Simplified 21.7%

       \[\leadsto \color{blue}{J \cdot \left(2 \cdot \ell\right)} \]

   if -29 < l < 1200

   1. Initial program 74.6%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in J around 0

      \[\leadsto \color{blue}{U} \]
   4. Step-by-step derivation

   5. Simplified 73.3%

      \[\leadsto \color{blue}{U} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 17: 56.2% accurate, 22.3× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\ell \leq 980:\\ \;\;\;\;U + J \cdot \left(2 \cdot \ell\right)\\ \mathbf{else}:\\ \;\;\;\;J \cdot \left(2 \cdot \ell + \frac{U}{J}\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (if (<= l 980.0) (+ U (* J (* 2.0 l))) (* J (+ (* 2.0 l) (/ U J)))))

C

double code(double J, double l, double K, double U) {
	double tmp;
	if (l <= 980.0) {
		tmp = U + (J * (2.0 * l));
	} else {
		tmp = J * ((2.0 * l) + (U / J));
	}
	return tmp;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    real(8) :: tmp
    if (l <= 980.0d0) then
        tmp = u + (j * (2.0d0 * l))
    else
        tmp = j * ((2.0d0 * l) + (u / j))
    end if
    code = tmp
end function

Java

public static double code(double J, double l, double K, double U) {
	double tmp;
	if (l <= 980.0) {
		tmp = U + (J * (2.0 * l));
	} else {
		tmp = J * ((2.0 * l) + (U / J));
	}
	return tmp;
}

Python

def code(J, l, K, U):
	tmp = 0
	if l <= 980.0:
		tmp = U + (J * (2.0 * l))
	else:
		tmp = J * ((2.0 * l) + (U / J))
	return tmp

Julia

function code(J, l, K, U)
	tmp = 0.0
	if (l <= 980.0)
		tmp = Float64(U + Float64(J * Float64(2.0 * l)));
	else
		tmp = Float64(J * Float64(Float64(2.0 * l) + Float64(U / J)));
	end
	return tmp
end

MATLAB

function tmp_2 = code(J, l, K, U)
	tmp = 0.0;
	if (l <= 980.0)
		tmp = U + (J * (2.0 * l));
	else
		tmp = J * ((2.0 * l) + (U / J));
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, l_, K_, U_] := If[LessEqual[l, 980.0], N[(U + N[(J * N[(2.0 * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(J * N[(N[(2.0 * l), $MachinePrecision] + N[(U / J), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if l < 980

   1. Initial program 83.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 75.9%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 75.9%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]

   6. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(2 \cdot \left(J \cdot \ell\right)\right)}, U\right) \]
   7. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(J \cdot \ell\right) \cdot 2\right), U\right) \]

      2. associate-*l* N/A

         \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(\ell \cdot 2\right)\right), U\right) \]

      3. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(2 \cdot \ell\right)\right), U\right) \]

      4. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(2 \cdot \ell\right)\right), U\right) \]

      5. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(\ell \cdot 2\right)\right), U\right) \]

      6. *-lowering-*.f64 63.5%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, 2\right)\right), U\right) \]

   8. Simplified 63.5%

      \[\leadsto \color{blue}{J \cdot \left(\ell \cdot 2\right)} + U \]

   if 980 < l

   1. Initial program 100.0%

      \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
   2. Add Preprocessing

   3. Taylor expanded in K around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

      2. sub-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      3. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      4. exp-lowering-exp.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

      5. exp-neg N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

      6. distribute-neg-frac N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

      7. metadata-eval N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

      8. /-lowering-/.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

      9. exp-lowering-exp.f64 71.0%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

   5. Simplified 71.0%

      \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]

   6. Taylor expanded in l around 0

      \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(2 \cdot \left(J \cdot \ell\right)\right)}, U\right) \]
   7. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(\left(J \cdot \ell\right) \cdot 2\right), U\right) \]

      2. associate-*l* N/A

         \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(\ell \cdot 2\right)\right), U\right) \]

      3. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(2 \cdot \ell\right)\right), U\right) \]

      4. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(2 \cdot \ell\right)\right), U\right) \]

      5. *-commutative N/A

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(\ell \cdot 2\right)\right), U\right) \]

      6. *-lowering-*.f64 23.3%

         \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, 2\right)\right), U\right) \]

   8. Simplified 23.3%

      \[\leadsto \color{blue}{J \cdot \left(\ell \cdot 2\right)} + U \]

   9. Taylor expanded in J around inf

      \[\leadsto \color{blue}{J \cdot \left(2 \cdot \ell + \frac{U}{J}\right)} \]
   10. Step-by-step derivation

       1. *-lowering-*.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(J, \color{blue}{\left(2 \cdot \ell + \frac{U}{J}\right)}\right) \]

       2. +-commutative N/A

          \[\leadsto \mathsf{*.f64}\left(J, \left(\frac{U}{J} + \color{blue}{2 \cdot \ell}\right)\right) \]

       3. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(\frac{U}{J}\right), \color{blue}{\left(2 \cdot \ell\right)}\right)\right) \]

       4. /-lowering-/.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{/.f64}\left(U, J\right), \left(\color{blue}{2} \cdot \ell\right)\right)\right) \]

       5. *-lowering-*.f64 32.2%

          \[\leadsto \mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{/.f64}\left(U, J\right), \mathsf{*.f64}\left(2, \color{blue}{\ell}\right)\right)\right) \]

   11. Simplified 32.2%

       \[\leadsto \color{blue}{J \cdot \left(\frac{U}{J} + 2 \cdot \ell\right)} \]
3. Recombined 2 regimes into one program.

4. Final simplification 55.9%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq 980:\\ \;\;\;\;U + J \cdot \left(2 \cdot \ell\right)\\ \mathbf{else}:\\ \;\;\;\;J \cdot \left(2 \cdot \ell + \frac{U}{J}\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 18: 72.2% accurate, 24.0× speedup

Math

\[\begin{array}{l} \\ U + J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right) \end{array} \]

FPCore

(FPCore (J l K U)
 :precision binary64
 (+ U (* J (* l (+ 2.0 (* (* l l) 0.3333333333333333))))))

C

double code(double J, double l, double K, double U) {
	return U + (J * (l * (2.0 + ((l * l) * 0.3333333333333333))));
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    code = u + (j * (l * (2.0d0 + ((l * l) * 0.3333333333333333d0))))
end function

Java

public static double code(double J, double l, double K, double U) {
	return U + (J * (l * (2.0 + ((l * l) * 0.3333333333333333))));
}

Python

def code(J, l, K, U):
	return U + (J * (l * (2.0 + ((l * l) * 0.3333333333333333))))

Julia

function code(J, l, K, U)
	return Float64(U + Float64(J * Float64(l * Float64(2.0 + Float64(Float64(l * l) * 0.3333333333333333)))))
end

MATLAB

function tmp = code(J, l, K, U)
	tmp = U + (J * (l * (2.0 + ((l * l) * 0.3333333333333333))));
end

Wolfram

code[J_, l_, K_, U_] := N[(U + N[(J * N[(l * N[(2.0 + N[(N[(l * l), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 87.1%

   \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
2. Add Preprocessing

3. Taylor expanded in K around 0

   \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
4. Step-by-step derivation

   1. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

   2. sub-neg N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

   3. +-lowering-+.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

   4. exp-lowering-exp.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

   5. exp-neg N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

   6. distribute-neg-frac N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

   7. metadata-eval N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

   8. /-lowering-/.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

   9. exp-lowering-exp.f64 74.7%

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

5. Simplified 74.7%

   \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]

6. Taylor expanded in l around 0

   \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \color{blue}{\left(\ell \cdot \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)}\right), U\right) \]
7. Step-by-step derivation

   1. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \left(2 + \frac{1}{3} \cdot {\ell}^{2}\right)\right)\right), U\right) \]

   2. +-lowering-+.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \left(\frac{1}{3} \cdot {\ell}^{2}\right)\right)\right)\right), U\right) \]

   3. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left({\ell}^{2}\right)\right)\right)\right)\right), U\right) \]

   4. unpow2 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \left(\ell \cdot \ell\right)\right)\right)\right)\right), U\right) \]

   5. *-lowering-*.f64 72.0%

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, \mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{*.f64}\left(\ell, \ell\right)\right)\right)\right)\right), U\right) \]

8. Simplified 72.0%

   \[\leadsto J \cdot \color{blue}{\left(\ell \cdot \left(2 + 0.3333333333333333 \cdot \left(\ell \cdot \ell\right)\right)\right)} + U \]

9. Final simplification 72.0%

   \[\leadsto U + J \cdot \left(\ell \cdot \left(2 + \left(\ell \cdot \ell\right) \cdot 0.3333333333333333\right)\right) \]
10. Add Preprocessing

Alternative 19: 58.3% accurate, 28.4× speedup

Math

\[\begin{array}{l} \\ U \cdot \left(1 + \frac{J \cdot \left(2 \cdot \ell\right)}{U}\right) \end{array} \]

FPCore

(FPCore (J l K U) :precision binary64 (* U (+ 1.0 (/ (* J (* 2.0 l)) U))))

C

double code(double J, double l, double K, double U) {
	return U * (1.0 + ((J * (2.0 * l)) / U));
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    code = u * (1.0d0 + ((j * (2.0d0 * l)) / u))
end function

Java

public static double code(double J, double l, double K, double U) {
	return U * (1.0 + ((J * (2.0 * l)) / U));
}

Python

def code(J, l, K, U):
	return U * (1.0 + ((J * (2.0 * l)) / U))

Julia

function code(J, l, K, U)
	return Float64(U * Float64(1.0 + Float64(Float64(J * Float64(2.0 * l)) / U)))
end

MATLAB

function tmp = code(J, l, K, U)
	tmp = U * (1.0 + ((J * (2.0 * l)) / U));
end

Wolfram

code[J_, l_, K_, U_] := N[(U * N[(1.0 + N[(N[(J * N[(2.0 * l), $MachinePrecision]), $MachinePrecision] / U), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 87.1%

   \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
2. Add Preprocessing

3. Taylor expanded in K around 0

   \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
4. Step-by-step derivation

   1. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

   2. sub-neg N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

   3. +-lowering-+.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

   4. exp-lowering-exp.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

   5. exp-neg N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

   6. distribute-neg-frac N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

   7. metadata-eval N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

   8. /-lowering-/.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

   9. exp-lowering-exp.f64 74.7%

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

5. Simplified 74.7%

   \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]

6. Taylor expanded in l around 0

   \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(2 \cdot \left(J \cdot \ell\right)\right)}, U\right) \]
7. Step-by-step derivation

   1. *-commutative N/A

      \[\leadsto \mathsf{+.f64}\left(\left(\left(J \cdot \ell\right) \cdot 2\right), U\right) \]

   2. associate-*l* N/A

      \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(\ell \cdot 2\right)\right), U\right) \]

   3. *-commutative N/A

      \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(2 \cdot \ell\right)\right), U\right) \]

   4. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(2 \cdot \ell\right)\right), U\right) \]

   5. *-commutative N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(\ell \cdot 2\right)\right), U\right) \]

   6. *-lowering-*.f64 53.7%

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, 2\right)\right), U\right) \]

8. Simplified 53.7%

   \[\leadsto \color{blue}{J \cdot \left(\ell \cdot 2\right)} + U \]

9. Taylor expanded in U around inf

   \[\leadsto \color{blue}{U \cdot \left(1 + 2 \cdot \frac{J \cdot \ell}{U}\right)} \]
10. Step-by-step derivation

    1. *-lowering-*.f64 N/A

       \[\leadsto \mathsf{*.f64}\left(U, \color{blue}{\left(1 + 2 \cdot \frac{J \cdot \ell}{U}\right)}\right) \]

    2. +-lowering-+.f64 N/A

       \[\leadsto \mathsf{*.f64}\left(U, \mathsf{+.f64}\left(1, \color{blue}{\left(2 \cdot \frac{J \cdot \ell}{U}\right)}\right)\right) \]

    3. associate-*r/ N/A

       \[\leadsto \mathsf{*.f64}\left(U, \mathsf{+.f64}\left(1, \left(\frac{2 \cdot \left(J \cdot \ell\right)}{\color{blue}{U}}\right)\right)\right) \]

    4. associate-*r* N/A

       \[\leadsto \mathsf{*.f64}\left(U, \mathsf{+.f64}\left(1, \left(\frac{\left(2 \cdot J\right) \cdot \ell}{U}\right)\right)\right) \]

    5. /-lowering-/.f64 N/A

       \[\leadsto \mathsf{*.f64}\left(U, \mathsf{+.f64}\left(1, \mathsf{/.f64}\left(\left(\left(2 \cdot J\right) \cdot \ell\right), \color{blue}{U}\right)\right)\right) \]

    6. *-commutative N/A

       \[\leadsto \mathsf{*.f64}\left(U, \mathsf{+.f64}\left(1, \mathsf{/.f64}\left(\left(\left(J \cdot 2\right) \cdot \ell\right), U\right)\right)\right) \]

    7. associate-*r* N/A

       \[\leadsto \mathsf{*.f64}\left(U, \mathsf{+.f64}\left(1, \mathsf{/.f64}\left(\left(J \cdot \left(2 \cdot \ell\right)\right), U\right)\right)\right) \]

    8. *-lowering-*.f64 N/A

       \[\leadsto \mathsf{*.f64}\left(U, \mathsf{+.f64}\left(1, \mathsf{/.f64}\left(\mathsf{*.f64}\left(J, \left(2 \cdot \ell\right)\right), U\right)\right)\right) \]

    9. *-lowering-*.f64 56.5%

       \[\leadsto \mathsf{*.f64}\left(U, \mathsf{+.f64}\left(1, \mathsf{/.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(2, \ell\right)\right), U\right)\right)\right) \]

11. Simplified 56.5%

    \[\leadsto \color{blue}{U \cdot \left(1 + \frac{J \cdot \left(2 \cdot \ell\right)}{U}\right)} \]
12. Add Preprocessing

Alternative 20: 54.8% accurate, 44.6× speedup

Math

\[\begin{array}{l} \\ U + J \cdot \left(2 \cdot \ell\right) \end{array} \]

FPCore

(FPCore (J l K U) :precision binary64 (+ U (* J (* 2.0 l))))

C

double code(double J, double l, double K, double U) {
	return U + (J * (2.0 * l));
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    code = u + (j * (2.0d0 * l))
end function

Java

public static double code(double J, double l, double K, double U) {
	return U + (J * (2.0 * l));
}

Python

def code(J, l, K, U):
	return U + (J * (2.0 * l))

Julia

function code(J, l, K, U)
	return Float64(U + Float64(J * Float64(2.0 * l)))
end

MATLAB

function tmp = code(J, l, K, U)
	tmp = U + (J * (2.0 * l));
end

Wolfram

code[J_, l_, K_, U_] := N[(U + N[(J * N[(2.0 * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 87.1%

   \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
2. Add Preprocessing

3. Taylor expanded in K around 0

   \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(J \cdot \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right)}, U\right) \]
4. Step-by-step derivation

   1. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} - e^{\mathsf{neg}\left(\ell\right)}\right)\right), U\right) \]

   2. sub-neg N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(e^{\ell} + \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

   3. +-lowering-+.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\left(e^{\ell}\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

   4. exp-lowering-exp.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(e^{\mathsf{neg}\left(\ell\right)}\right)\right)\right)\right), U\right) \]

   5. exp-neg N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\mathsf{neg}\left(\frac{1}{e^{\ell}}\right)\right)\right)\right), U\right) \]

   6. distribute-neg-frac N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{\mathsf{neg}\left(1\right)}{e^{\ell}}\right)\right)\right), U\right) \]

   7. metadata-eval N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \left(\frac{-1}{e^{\ell}}\right)\right)\right), U\right) \]

   8. /-lowering-/.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \left(e^{\ell}\right)\right)\right)\right), U\right) \]

   9. exp-lowering-exp.f64 74.7%

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{+.f64}\left(\mathsf{exp.f64}\left(\ell\right), \mathsf{/.f64}\left(-1, \mathsf{exp.f64}\left(\ell\right)\right)\right)\right), U\right) \]

5. Simplified 74.7%

   \[\leadsto \color{blue}{J \cdot \left(e^{\ell} + \frac{-1}{e^{\ell}}\right)} + U \]

6. Taylor expanded in l around 0

   \[\leadsto \mathsf{+.f64}\left(\color{blue}{\left(2 \cdot \left(J \cdot \ell\right)\right)}, U\right) \]
7. Step-by-step derivation

   1. *-commutative N/A

      \[\leadsto \mathsf{+.f64}\left(\left(\left(J \cdot \ell\right) \cdot 2\right), U\right) \]

   2. associate-*l* N/A

      \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(\ell \cdot 2\right)\right), U\right) \]

   3. *-commutative N/A

      \[\leadsto \mathsf{+.f64}\left(\left(J \cdot \left(2 \cdot \ell\right)\right), U\right) \]

   4. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(2 \cdot \ell\right)\right), U\right) \]

   5. *-commutative N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \left(\ell \cdot 2\right)\right), U\right) \]

   6. *-lowering-*.f64 53.7%

      \[\leadsto \mathsf{+.f64}\left(\mathsf{*.f64}\left(J, \mathsf{*.f64}\left(\ell, 2\right)\right), U\right) \]

8. Simplified 53.7%

   \[\leadsto \color{blue}{J \cdot \left(\ell \cdot 2\right)} + U \]

9. Final simplification 53.7%

   \[\leadsto U + J \cdot \left(2 \cdot \ell\right) \]
10. Add Preprocessing

Alternative 21: 36.8% accurate, 312.0× speedup

Math

\[\begin{array}{l} \\ U \end{array} \]

FPCore

(FPCore (J l K U) :precision binary64 U)

C

double code(double J, double l, double K, double U) {
	return U;
}

Fortran

real(8) function code(j, l, k, u)
    real(8), intent (in) :: j
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    real(8), intent (in) :: u
    code = u
end function

Java

public static double code(double J, double l, double K, double U) {
	return U;
}

Python

def code(J, l, K, U):
	return U

Julia

function code(J, l, K, U)
	return U
end

MATLAB

function tmp = code(J, l, K, U)
	tmp = U;
end

Wolfram

code[J_, l_, K_, U_] := U

Derivation

1. Initial program 87.1%

   \[\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U \]
2. Add Preprocessing

3. Taylor expanded in J around 0

   \[\leadsto \color{blue}{U} \]
4. Step-by-step derivation

5. Simplified 38.4%

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

Reproduce

herbie shell --seed 2024138 
(FPCore (J l K U)
  :name "Maksimov and Kolovsky, Equation (4)"
  :precision binary64
  (+ (* (* J (- (exp l) (exp (- l)))) (cos (/ K 2.0))) U))