\[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}
\]
↓
\[\begin{array}{l}
t_0 := \cos \left(\frac{K}{2}\right)\\
\mathbf{if}\;U \leq -3.8 \cdot 10^{+238}:\\
\;\;\;\;U\\
\mathbf{elif}\;U \leq 5.2 \cdot 10^{+157}:\\
\;\;\;\;\left(t_0 \cdot \left(-2 \cdot J\right)\right) \cdot \mathsf{hypot}\left(1, \frac{U}{2 \cdot \left(J \cdot t_0\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;-U\\
\end{array}
\]
(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 -3.8e+238)
U
(if (<= U 5.2e+157)
(* (* t_0 (* -2.0 J)) (hypot 1.0 (/ U (* 2.0 (* J t_0)))))
(- U)))))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 <= -3.8e+238) {
tmp = U;
} else if (U <= 5.2e+157) {
tmp = (t_0 * (-2.0 * J)) * hypot(1.0, (U / (2.0 * (J * t_0))));
} else {
tmp = -U;
}
return tmp;
}
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 <= -3.8e+238) {
tmp = U;
} else if (U <= 5.2e+157) {
tmp = (t_0 * (-2.0 * J)) * Math.hypot(1.0, (U / (2.0 * (J * t_0))));
} else {
tmp = -U;
}
return tmp;
}
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 <= -3.8e+238:
tmp = U
elif U <= 5.2e+157:
tmp = (t_0 * (-2.0 * J)) * math.hypot(1.0, (U / (2.0 * (J * t_0))))
else:
tmp = -U
return tmp
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 <= -3.8e+238)
tmp = U;
elseif (U <= 5.2e+157)
tmp = Float64(Float64(t_0 * Float64(-2.0 * J)) * hypot(1.0, Float64(U / Float64(2.0 * Float64(J * t_0)))));
else
tmp = Float64(-U);
end
return tmp
end
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 <= -3.8e+238)
tmp = U;
elseif (U <= 5.2e+157)
tmp = (t_0 * (-2.0 * J)) * hypot(1.0, (U / (2.0 * (J * t_0))));
else
tmp = -U;
end
tmp_2 = tmp;
end
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, -3.8e+238], U, If[LessEqual[U, 5.2e+157], N[(N[(t$95$0 * N[(-2.0 * J), $MachinePrecision]), $MachinePrecision] * N[Sqrt[1.0 ^ 2 + N[(U / N[(2.0 * N[(J * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision], (-U)]]]
\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 -3.8 \cdot 10^{+238}:\\
\;\;\;\;U\\
\mathbf{elif}\;U \leq 5.2 \cdot 10^{+157}:\\
\;\;\;\;\left(t_0 \cdot \left(-2 \cdot J\right)\right) \cdot \mathsf{hypot}\left(1, \frac{U}{2 \cdot \left(J \cdot t_0\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;-U\\
\end{array}
Alternatives
| Alternative 1 |
|---|
| Error | 10.0 |
|---|
| Cost | 20616 |
|---|
\[\begin{array}{l}
t_0 := \cos \left(\frac{K}{2}\right)\\
\mathbf{if}\;U \leq -1.6 \cdot 10^{+238}:\\
\;\;\;\;U\\
\mathbf{elif}\;U \leq 6 \cdot 10^{+159}:\\
\;\;\;\;-2 \cdot \left(t_0 \cdot \left(J \cdot \mathsf{hypot}\left(1, \frac{U}{2 \cdot \left(J \cdot t_0\right)}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;-U\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 17.2 |
|---|
| Cost | 14225 |
|---|
\[\begin{array}{l}
t_0 := \left(\cos \left(\frac{K}{2}\right) \cdot \left(-2 \cdot J\right)\right) \cdot \mathsf{hypot}\left(1, \frac{U}{J \cdot 2}\right)\\
\mathbf{if}\;J \leq -2.6 \cdot 10^{-135}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;J \leq -3 \cdot 10^{-143}:\\
\;\;\;\;-U\\
\mathbf{elif}\;J \leq -1.85 \cdot 10^{-168} \lor \neg \left(J \leq 2.2 \cdot 10^{-199}\right):\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;U\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 27.6 |
|---|
| Cost | 7640 |
|---|
\[\begin{array}{l}
t_0 := \cos \left(K \cdot 0.5\right) \cdot \left(-2 \cdot J\right)\\
\mathbf{if}\;J \leq -1.2 \cdot 10^{-12}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;J \leq -2.05 \cdot 10^{-167}:\\
\;\;\;\;-U\\
\mathbf{elif}\;J \leq 10^{-265}:\\
\;\;\;\;U\\
\mathbf{elif}\;J \leq 2.25 \cdot 10^{-138}:\\
\;\;\;\;-U\\
\mathbf{elif}\;J \leq 2.1 \cdot 10^{-50}:\\
\;\;\;\;U\\
\mathbf{elif}\;J \leq 2.9 \cdot 10^{+17}:\\
\;\;\;\;-U\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 27.6 |
|---|
| Cost | 7640 |
|---|
\[\begin{array}{l}
t_0 := \cos \left(K \cdot 0.5\right) \cdot \left(-2 \cdot J\right)\\
\mathbf{if}\;J \leq -2.1 \cdot 10^{-13}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;J \leq -1.65 \cdot 10^{-166}:\\
\;\;\;\;-U\\
\mathbf{elif}\;J \leq 5.6 \cdot 10^{-266}:\\
\;\;\;\;\mathsf{fma}\left(2, \frac{J}{\frac{U}{J}}, U\right)\\
\mathbf{elif}\;J \leq 3.4 \cdot 10^{-139}:\\
\;\;\;\;-U\\
\mathbf{elif}\;J \leq 2.3 \cdot 10^{-50}:\\
\;\;\;\;U\\
\mathbf{elif}\;J \leq 2.8 \cdot 10^{+17}:\\
\;\;\;\;-U\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 5 |
|---|
| Error | 22.2 |
|---|
| Cost | 7377 |
|---|
\[\begin{array}{l}
t_0 := \cos \left(K \cdot 0.5\right) \cdot \left(-2 \cdot J\right)\\
\mathbf{if}\;K \leq -0.0088:\\
\;\;\;\;t_0\\
\mathbf{elif}\;K \leq 3.7 \cdot 10^{+76}:\\
\;\;\;\;\left(-2 \cdot J\right) \cdot \mathsf{hypot}\left(1, 0.5 \cdot \frac{U}{J}\right)\\
\mathbf{elif}\;K \leq 7.6 \cdot 10^{+181} \lor \neg \left(K \leq 1.6 \cdot 10^{+272}\right):\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;U\\
\end{array}
\]
| Alternative 6 |
|---|
| Error | 38.3 |
|---|
| Cost | 984 |
|---|
\[\begin{array}{l}
\mathbf{if}\;J \leq -8.2 \cdot 10^{+27}:\\
\;\;\;\;-2 \cdot J\\
\mathbf{elif}\;J \leq -4 \cdot 10^{-167}:\\
\;\;\;\;-U\\
\mathbf{elif}\;J \leq 4.8 \cdot 10^{-266}:\\
\;\;\;\;U\\
\mathbf{elif}\;J \leq 3.5 \cdot 10^{-139}:\\
\;\;\;\;-U\\
\mathbf{elif}\;J \leq 1.4 \cdot 10^{-50}:\\
\;\;\;\;U\\
\mathbf{elif}\;J \leq 4.8 \cdot 10^{+17}:\\
\;\;\;\;-U\\
\mathbf{else}:\\
\;\;\;\;-2 \cdot J\\
\end{array}
\]
| Alternative 7 |
|---|
| Error | 47.2 |
|---|
| Cost | 788 |
|---|
\[\begin{array}{l}
\mathbf{if}\;J \leq -5 \cdot 10^{-168}:\\
\;\;\;\;-U\\
\mathbf{elif}\;J \leq 1.3 \cdot 10^{-266}:\\
\;\;\;\;U\\
\mathbf{elif}\;J \leq 10^{-138}:\\
\;\;\;\;-U\\
\mathbf{elif}\;J \leq 2.8 \cdot 10^{-50}:\\
\;\;\;\;U\\
\mathbf{elif}\;J \leq 1.2 \cdot 10^{+82}:\\
\;\;\;\;-U\\
\mathbf{else}:\\
\;\;\;\;U\\
\end{array}
\]
| Alternative 8 |
|---|
| Error | 46.9 |
|---|
| Cost | 64 |
|---|
\[U
\]