\[\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}
\]
↓
\[\begin{array}{l}
t_0 := \cos \left(\frac{K}{2}\right)\\
\mathbf{if}\;U \leq 9.8 \cdot 10^{+284}:\\
\;\;\;\;\left(\left(-2 \cdot J\right) \cdot t_0\right) \cdot \mathsf{hypot}\left(1, \frac{U}{2 \cdot \left(J \cdot t_0\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;U\\
\end{array}
\]
(FPCore (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 9.8e+284)
(* (* (* -2.0 J) t_0) (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 <= 9.8e+284) {
tmp = ((-2.0 * J) * t_0) * 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 <= 9.8e+284) {
tmp = ((-2.0 * J) * t_0) * 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 <= 9.8e+284:
tmp = ((-2.0 * J) * t_0) * 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 <= 9.8e+284)
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
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 <= 9.8e+284)
tmp = ((-2.0 * J) * t_0) * 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, 9.8e+284], 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]]
\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 9.8 \cdot 10^{+284}:\\
\;\;\;\;\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}
Alternatives
| Alternative 1 |
|---|
| Error | 13.17% |
|---|
| Cost | 20484 |
|---|
\[\begin{array}{l}
t_0 := \cos \left(\frac{K}{2}\right)\\
\mathbf{if}\;U \leq 3.2 \cdot 10^{+283}:\\
\;\;\;\;\left(-2 \cdot J\right) \cdot \left(t_0 \cdot \mathsf{hypot}\left(1, \frac{U}{t_0 \cdot \left(J \cdot 2\right)}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;U\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 27.27% |
|---|
| Cost | 14224 |
|---|
\[\begin{array}{l}
t_0 := \left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \mathsf{hypot}\left(1, \frac{U}{\frac{J}{0.5}}\right)\\
\mathbf{if}\;J \leq -3.7 \cdot 10^{-161}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;J \leq 2.35 \cdot 10^{-237}:\\
\;\;\;\;-U\\
\mathbf{elif}\;J \leq 6.5 \cdot 10^{-196}:\\
\;\;\;\;U\\
\mathbf{elif}\;J \leq 1.08 \cdot 10^{-185}:\\
\;\;\;\;J \cdot \left(-2 \cdot \mathsf{hypot}\left(1, U \cdot \frac{0.5}{J}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 37.1% |
|---|
| Cost | 7568 |
|---|
\[\begin{array}{l}
t_0 := J \cdot \left(-2 \cdot \mathsf{hypot}\left(1, U \cdot \frac{0.5}{J}\right)\right)\\
\mathbf{if}\;U \leq -3.85 \cdot 10^{+174}:\\
\;\;\;\;-U\\
\mathbf{elif}\;U \leq -7 \cdot 10^{-31}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;U \leq 5.6 \cdot 10^{-79}:\\
\;\;\;\;\left(-2 \cdot J\right) \cdot \cos \left(K \cdot 0.5\right)\\
\mathbf{elif}\;U \leq 3.9 \cdot 10^{+86}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;U \leq 2.5 \cdot 10^{+216}:\\
\;\;\;\;U\\
\mathbf{elif}\;U \leq 5.4 \cdot 10^{+259}:\\
\;\;\;\;-U\\
\mathbf{else}:\\
\;\;\;\;U\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 42.96% |
|---|
| Cost | 7508 |
|---|
\[\begin{array}{l}
t_0 := \left(-2 \cdot J\right) \cdot \cos \left(K \cdot 0.5\right)\\
\mathbf{if}\;U \leq -1.2 \cdot 10^{+220}:\\
\;\;\;\;-U\\
\mathbf{elif}\;U \leq -7 \cdot 10^{+120}:\\
\;\;\;\;U\\
\mathbf{elif}\;U \leq 1.75 \cdot 10^{-67}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;U \leq 2.15 \cdot 10^{+16}:\\
\;\;\;\;U\\
\mathbf{elif}\;U \leq 1.9 \cdot 10^{+121}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;U \leq 6.8 \cdot 10^{+215}:\\
\;\;\;\;U\\
\mathbf{elif}\;U \leq 9.6 \cdot 10^{+259}:\\
\;\;\;\;-U\\
\mathbf{else}:\\
\;\;\;\;U\\
\end{array}
\]
| Alternative 5 |
|---|
| Error | 60.09% |
|---|
| Cost | 920 |
|---|
\[\begin{array}{l}
\mathbf{if}\;U \leq -6 \cdot 10^{+221}:\\
\;\;\;\;-U\\
\mathbf{elif}\;U \leq -4.4 \cdot 10^{+135}:\\
\;\;\;\;U\\
\mathbf{elif}\;U \leq -1.4 \cdot 10^{-32}:\\
\;\;\;\;-U\\
\mathbf{elif}\;U \leq 1.35 \cdot 10^{-68}:\\
\;\;\;\;-2 \cdot J\\
\mathbf{elif}\;U \leq 3 \cdot 10^{+216}:\\
\;\;\;\;U\\
\mathbf{elif}\;U \leq 6 \cdot 10^{+259}:\\
\;\;\;\;-U\\
\mathbf{else}:\\
\;\;\;\;U\\
\end{array}
\]
| Alternative 6 |
|---|
| Error | 72.07% |
|---|
| Cost | 788 |
|---|
\[\begin{array}{l}
\mathbf{if}\;U \leq -1.25 \cdot 10^{+220}:\\
\;\;\;\;-U\\
\mathbf{elif}\;U \leq -2.7 \cdot 10^{+142}:\\
\;\;\;\;U\\
\mathbf{elif}\;U \leq 1.7 \cdot 10^{-65}:\\
\;\;\;\;-U\\
\mathbf{elif}\;U \leq 1.22 \cdot 10^{+216}:\\
\;\;\;\;U\\
\mathbf{elif}\;U \leq 4.6 \cdot 10^{+259}:\\
\;\;\;\;-U\\
\mathbf{else}:\\
\;\;\;\;U\\
\end{array}
\]
| Alternative 7 |
|---|
| Error | 72.38% |
|---|
| Cost | 64 |
|---|
\[U
\]