Maksimov and Kolovsky, Equation (3)

Average Error: 28.1% → 14.53%

Time: 26.3s

Precision: binary64

Cost: 20484

Math

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

↓

\[\begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ \mathbf{if}\;U \leq 2.8 \cdot 10^{+178}:\\ \;\;\;\;\left(\left(-2 \cdot J\right) \cdot t_0\right) \cdot \mathsf{hypot}\left(1, \frac{U}{2 \cdot \left(J \cdot t_0\right)}\right)\\ \mathbf{else}:\\ \;\;\;\;U\\ \end{array} \]

FPCore

(FPCore (J K U)
 :precision binary64
 (*
  (* (* -2.0 J) (cos (/ K 2.0)))
  (sqrt (+ 1.0 (pow (/ U (* (* 2.0 J) (cos (/ K 2.0)))) 2.0)))))

↓

(FPCore (J K U)
 :precision binary64
 (let* ((t_0 (cos (/ K 2.0))))
   (if (<= U 2.8e+178)
     (* (* (* -2.0 J) t_0) (hypot 1.0 (/ U (* 2.0 (* J t_0)))))
     U)))

C

double code(double J, double K, double U) {
	return ((-2.0 * J) * cos((K / 2.0))) * sqrt((1.0 + pow((U / ((2.0 * J) * cos((K / 2.0)))), 2.0)));
}

↓

double code(double J, double K, double U) {
	double t_0 = cos((K / 2.0));
	double tmp;
	if (U <= 2.8e+178) {
		tmp = ((-2.0 * J) * t_0) * hypot(1.0, (U / (2.0 * (J * t_0))));
	} else {
		tmp = U;
	}
	return tmp;
}

Java

public static double code(double J, double K, double U) {
	return ((-2.0 * J) * Math.cos((K / 2.0))) * Math.sqrt((1.0 + Math.pow((U / ((2.0 * J) * Math.cos((K / 2.0)))), 2.0)));
}

↓

public static double code(double J, double K, double U) {
	double t_0 = Math.cos((K / 2.0));
	double tmp;
	if (U <= 2.8e+178) {
		tmp = ((-2.0 * J) * t_0) * Math.hypot(1.0, (U / (2.0 * (J * t_0))));
	} else {
		tmp = U;
	}
	return tmp;
}

Python

def code(J, K, U):
	return ((-2.0 * J) * math.cos((K / 2.0))) * math.sqrt((1.0 + math.pow((U / ((2.0 * J) * math.cos((K / 2.0)))), 2.0)))

↓

def code(J, K, U):
	t_0 = math.cos((K / 2.0))
	tmp = 0
	if U <= 2.8e+178:
		tmp = ((-2.0 * J) * t_0) * math.hypot(1.0, (U / (2.0 * (J * t_0))))
	else:
		tmp = U
	return tmp

Julia

function code(J, K, U)
	return Float64(Float64(Float64(-2.0 * J) * cos(Float64(K / 2.0))) * sqrt(Float64(1.0 + (Float64(U / Float64(Float64(2.0 * J) * cos(Float64(K / 2.0)))) ^ 2.0))))
end

↓

function code(J, K, U)
	t_0 = cos(Float64(K / 2.0))
	tmp = 0.0
	if (U <= 2.8e+178)
		tmp = Float64(Float64(Float64(-2.0 * J) * t_0) * hypot(1.0, Float64(U / Float64(2.0 * Float64(J * t_0)))));
	else
		tmp = U;
	end
	return tmp
end

MATLAB

function tmp = code(J, K, U)
	tmp = ((-2.0 * J) * cos((K / 2.0))) * sqrt((1.0 + ((U / ((2.0 * J) * cos((K / 2.0)))) ^ 2.0)));
end

↓

function tmp_2 = code(J, K, U)
	t_0 = cos((K / 2.0));
	tmp = 0.0;
	if (U <= 2.8e+178)
		tmp = ((-2.0 * J) * t_0) * hypot(1.0, (U / (2.0 * (J * t_0))));
	else
		tmp = U;
	end
	tmp_2 = tmp;
end

Wolfram

code[J_, K_, U_] := N[(N[(N[(-2.0 * J), $MachinePrecision] * N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(1.0 + N[Power[N[(U / N[(N[(2.0 * J), $MachinePrecision] * N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]

↓

code[J_, K_, U_] := Block[{t$95$0 = N[Cos[N[(K / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[U, 2.8e+178], N[(N[(N[(-2.0 * J), $MachinePrecision] * t$95$0), $MachinePrecision] * N[Sqrt[1.0 ^ 2 + N[(U / N[(2.0 * N[(J * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision], U]]

Derivation

1. Split input into 2 regimes

2. if U < 2.79999999999999993e178

   1. Initial program 23.84

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

   2. Simplified 9.61

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

      [Start] 23.84	\[ \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
      unpow2 [=>] 23.84	\[ \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + \color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}}} \]
      hypot-1-def [=>] 9.61	\[ \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \color{blue}{\mathsf{hypot}\left(1, \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)} \]
      associate-*l* [=>] 9.61	\[ \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \mathsf{hypot}\left(1, \frac{U}{\color{blue}{2 \cdot \left(J \cdot \cos \left(\frac{K}{2}\right)\right)}}\right) \]

   if 2.79999999999999993e178 < U

   1. Initial program 65.05

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

   2. Simplified 40.42

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

      [Start] 65.05	\[ \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}} \]
      associate-*l* [=>] 65.09	\[ \color{blue}{\left(-2 \cdot J\right) \cdot \left(\cos \left(\frac{K}{2}\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}\right)} \]
      unpow2 [=>] 65.09	\[ \left(-2 \cdot J\right) \cdot \left(\cos \left(\frac{K}{2}\right) \cdot \sqrt{1 + \color{blue}{\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)} \cdot \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}}}\right) \]
      hypot-1-def [=>] 40.42	\[ \left(-2 \cdot J\right) \cdot \left(\cos \left(\frac{K}{2}\right) \cdot \color{blue}{\mathsf{hypot}\left(1, \frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}\right) \]
      *-commutative [=>] 40.42	\[ \left(-2 \cdot J\right) \cdot \left(\cos \left(\frac{K}{2}\right) \cdot \mathsf{hypot}\left(1, \frac{U}{\color{blue}{\cos \left(\frac{K}{2}\right) \cdot \left(2 \cdot J\right)}}\right)\right) \]
      *-commutative [=>] 40.42	\[ \left(-2 \cdot J\right) \cdot \left(\cos \left(\frac{K}{2}\right) \cdot \mathsf{hypot}\left(1, \frac{U}{\cos \left(\frac{K}{2}\right) \cdot \color{blue}{\left(J \cdot 2\right)}}\right)\right) \]

   3. Taylor expanded in U around -inf 57.1

      \[\leadsto \color{blue}{U} \]
3. Recombined 2 regimes into one program.

4. Final simplification 14.53

   \[\leadsto \begin{array}{l} \mathbf{if}\;U \leq 2.8 \cdot 10^{+178}:\\ \;\;\;\;\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \mathsf{hypot}\left(1, \frac{U}{2 \cdot \left(J \cdot \cos \left(\frac{K}{2}\right)\right)}\right)\\ \mathbf{else}:\\ \;\;\;\;U\\ \end{array} \]

Alternatives

Alternative 1
Error	14.61%
Cost	20484

\[\begin{array}{l} t_0 := \cos \left(\frac{K}{2}\right)\\ \mathbf{if}\;U \leq 3.4 \cdot 10^{+177}:\\ \;\;\;\;\left(-2 \cdot J\right) \cdot \left(t_0 \cdot \mathsf{hypot}\left(1, \frac{U}{t_0 \cdot \left(J \cdot 2\right)}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;U\\ \end{array} \]

Alternative 2
Error	28.43%
Cost	14224

\[\begin{array}{l} t_0 := \mathsf{hypot}\left(1, \frac{U \cdot 0.5}{J}\right)\\ t_1 := \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot t_0\\ \mathbf{if}\;U \leq -2.35 \cdot 10^{+213}:\\ \;\;\;\;-U\\ \mathbf{elif}\;U \leq 3.8 \cdot 10^{-12}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;U \leq 2.15 \cdot 10^{+61}:\\ \;\;\;\;\left(-2 \cdot J\right) \cdot t_0\\ \mathbf{elif}\;U \leq 5.5 \cdot 10^{+162}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;U\\ \end{array} \]

Alternative 3
Error	40.44%
Cost	7904

\[\begin{array}{l} t_0 := \left(-2 \cdot J\right) \cdot \cos \left(K \cdot 0.5\right)\\ \mathbf{if}\;J \leq -1.18 \cdot 10^{-54}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;J \leq -4 \cdot 10^{-157}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq -3.7 \cdot 10^{-169}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq -4.8 \cdot 10^{-208}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq -8.6 \cdot 10^{-257}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq 6.8 \cdot 10^{-293}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq 7.6 \cdot 10^{-173}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq 5.4 \cdot 10^{-154}:\\ \;\;\;\;-U\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 4
Error	38.44%
Cost	7568

\[\begin{array}{l} t_0 := \left(-2 \cdot J\right) \cdot \mathsf{hypot}\left(1, \frac{U \cdot 0.5}{J}\right)\\ \mathbf{if}\;U \leq -5.4 \cdot 10^{+137}:\\ \;\;\;\;U\\ \mathbf{elif}\;U \leq -1.02 \cdot 10^{-160}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;U \leq 6.2 \cdot 10^{-139}:\\ \;\;\;\;\left(-2 \cdot J\right) \cdot \cos \left(K \cdot 0.5\right)\\ \mathbf{elif}\;U \leq 5.9 \cdot 10^{+162}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;U\\ \end{array} \]

Alternative 5
Error	60.76%
Cost	2028

\[\begin{array}{l} \mathbf{if}\;J \leq -3.1 \cdot 10^{+89}:\\ \;\;\;\;-2 \cdot J\\ \mathbf{elif}\;J \leq -4.5 \cdot 10^{-45}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq -6.2 \cdot 10^{-161}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq -4.3 \cdot 10^{-170}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq -4.8 \cdot 10^{-208}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq -8 \cdot 10^{-257}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq 1.5 \cdot 10^{-293}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq 1.9 \cdot 10^{-175}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq 4 \cdot 10^{-116}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq 2.5 \cdot 10^{-34}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq 8.6 \cdot 10^{-21}:\\ \;\;\;\;J \cdot \frac{-2}{\frac{U}{J}} - U\\ \mathbf{else}:\\ \;\;\;\;-2 \cdot J\\ \end{array} \]

Alternative 6
Error	60.8%
Cost	2028

\[\begin{array}{l} \mathbf{if}\;J \leq -3.75 \cdot 10^{+89}:\\ \;\;\;\;-2 \cdot J\\ \mathbf{elif}\;J \leq -5.3 \cdot 10^{-45}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq -7.6 \cdot 10^{-159}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq -1.4 \cdot 10^{-169}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq -5 \cdot 10^{-208}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq -9 \cdot 10^{-257}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq 1.02 \cdot 10^{-293}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq 1.35 \cdot 10^{-172}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq 3 \cdot 10^{-109}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq 1.8 \cdot 10^{-36}:\\ \;\;\;\;\frac{\frac{-2 \cdot \left(U \cdot J\right)}{J}}{-2}\\ \mathbf{elif}\;J \leq 1.32 \cdot 10^{-20}:\\ \;\;\;\;J \cdot \frac{-2}{\frac{U}{J}} - U\\ \mathbf{else}:\\ \;\;\;\;-2 \cdot J\\ \end{array} \]

Alternative 7
Error	60.85%
Cost	1644

\[\begin{array}{l} \mathbf{if}\;J \leq -3.1 \cdot 10^{+89}:\\ \;\;\;\;-2 \cdot J\\ \mathbf{elif}\;J \leq -5.3 \cdot 10^{-45}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq -3 \cdot 10^{-157}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq -3.3 \cdot 10^{-170}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq -5.2 \cdot 10^{-208}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq -9.5 \cdot 10^{-257}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq 10^{-293}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq 1.15 \cdot 10^{-174}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq 6.4 \cdot 10^{-108}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq 2.2 \cdot 10^{-35}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq 1.25 \cdot 10^{-20}:\\ \;\;\;\;-U\\ \mathbf{else}:\\ \;\;\;\;-2 \cdot J\\ \end{array} \]

Alternative 8
Error	74.14%
Cost	1184

\[\begin{array}{l} \mathbf{if}\;J \leq -2.6 \cdot 10^{-45}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq -2.45 \cdot 10^{-161}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq -9.5 \cdot 10^{-170}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq -4.8 \cdot 10^{-208}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq -8 \cdot 10^{-257}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq 4 \cdot 10^{-293}:\\ \;\;\;\;-U\\ \mathbf{elif}\;J \leq 1.6 \cdot 10^{-181}:\\ \;\;\;\;U\\ \mathbf{elif}\;J \leq 2.4 \cdot 10^{-113}:\\ \;\;\;\;-U\\ \mathbf{else}:\\ \;\;\;\;U\\ \end{array} \]

Alternative 9
Error	73.33%
Cost	64

\[U \]

Reproduce

herbie shell --seed 2023104 
(FPCore (J K U)
  :name "Maksimov and Kolovsky, Equation (3)"
  :precision binary64
  (* (* (* -2.0 J) (cos (/ K 2.0))) (sqrt (+ 1.0 (pow (/ U (* (* 2.0 J) (cos (/ K 2.0)))) 2.0)))))