\[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}
\]
↓
\[2 \cdot \frac{\frac{\frac{\ell}{k}}{t \cdot \sin k}}{k \cdot \frac{\tan k}{\ell}}
\]
(FPCore (t l k)
:precision binary64
(/
2.0
(*
(* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k))
(- (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
↓
(FPCore (t l k)
:precision binary64
(* 2.0 (/ (/ (/ l k) (* t (sin k))) (* k (/ (tan k) l)))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) - 1.0));
}
↓
double code(double t, double l, double k) {
return 2.0 * (((l / k) / (t * sin(k))) / (k * (tan(k) / l)));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) - 1.0d0))
end function
↓
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 * (((l / k) / (t * sin(k))) / (k * (tan(k) / l)))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) - 1.0));
}
↓
public static double code(double t, double l, double k) {
return 2.0 * (((l / k) / (t * Math.sin(k))) / (k * (Math.tan(k) / l)));
}
def code(t, l, k):
return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) - 1.0))
↓
def code(t, l, k):
return 2.0 * (((l / k) / (t * math.sin(k))) / (k * (math.tan(k) / l)))
function code(t, l, k)
return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) - 1.0)))
end
↓
function code(t, l, k)
return Float64(2.0 * Float64(Float64(Float64(l / k) / Float64(t * sin(k))) / Float64(k * Float64(tan(k) / l))))
end
function tmp = code(t, l, k)
tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) - 1.0));
end
↓
function tmp = code(t, l, k)
tmp = 2.0 * (((l / k) / (t * sin(k))) / (k * (tan(k) / l)));
end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[t_, l_, k_] := N[(2.0 * N[(N[(N[(l / k), $MachinePrecision] / N[(t * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(k * N[(N[Tan[k], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}
↓
2 \cdot \frac{\frac{\frac{\ell}{k}}{t \cdot \sin k}}{k \cdot \frac{\tan k}{\ell}}
Alternatives
| Alternative 1 |
|---|
| Accuracy | 88.7% |
|---|
| Cost | 14156 |
|---|
\[\begin{array}{l}
t_1 := \frac{\ell}{\tan k}\\
t_2 := k \cdot \left(t \cdot \sin k\right)\\
t_3 := 2 \cdot \frac{\frac{\ell}{k} \cdot t_1}{t_2}\\
\mathbf{if}\;k \leq -0.00045:\\
\;\;\;\;t_3\\
\mathbf{elif}\;k \leq 9.2 \cdot 10^{-28}:\\
\;\;\;\;2 \cdot \frac{\frac{\frac{\ell}{k}}{k \cdot t}}{k \cdot \frac{\tan k}{\ell}}\\
\mathbf{elif}\;k \leq 7.4 \cdot 10^{+95}:\\
\;\;\;\;2 \cdot \left(t_1 \cdot \frac{\ell}{k \cdot t_2}\right)\\
\mathbf{else}:\\
\;\;\;\;t_3\\
\end{array}
\]
| Alternative 2 |
|---|
| Accuracy | 84.4% |
|---|
| Cost | 14025 |
|---|
\[\begin{array}{l}
\mathbf{if}\;k \leq -0.00045 \lor \neg \left(k \leq 5.2 \cdot 10^{-29}\right):\\
\;\;\;\;2 \cdot \left(\frac{\ell}{\tan k} \cdot \frac{\ell}{k \cdot \left(k \cdot \left(t \cdot \sin k\right)\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{\frac{\frac{\ell}{k}}{k \cdot t}}{k \cdot \frac{\tan k}{\ell}}\\
\end{array}
\]
| Alternative 3 |
|---|
| Accuracy | 62.8% |
|---|
| Cost | 7625 |
|---|
\[\begin{array}{l}
\mathbf{if}\;t \leq -1.6 \cdot 10^{-35} \lor \neg \left(t \leq 1.35 \cdot 10^{-44}\right):\\
\;\;\;\;2 \cdot \frac{\frac{\ell}{k \cdot \left(k \cdot t\right)}}{k \cdot \frac{\tan k}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell \cdot \frac{2}{\left(k \cdot k\right) \cdot \frac{t}{\ell}}}{k \cdot k}\\
\end{array}
\]
| Alternative 4 |
|---|
| Accuracy | 63.1% |
|---|
| Cost | 7360 |
|---|
\[2 \cdot \frac{\frac{\frac{\ell}{k}}{k \cdot t}}{k \cdot \frac{\tan k}{\ell}}
\]
| Alternative 5 |
|---|
| Accuracy | 63.0% |
|---|
| Cost | 7360 |
|---|
\[2 \cdot \frac{\frac{\frac{\ell}{k}}{t \cdot \sin k}}{k \cdot \frac{k}{\ell}}
\]
| Alternative 6 |
|---|
| Accuracy | 59.9% |
|---|
| Cost | 1220 |
|---|
\[\begin{array}{l}
t_1 := \frac{\ell}{k \cdot k}\\
\mathbf{if}\;\ell \cdot \ell \leq 2 \cdot 10^{-227}:\\
\;\;\;\;\frac{2}{t} \cdot \left(t_1 \cdot t_1\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot \frac{\ell}{\frac{k \cdot \left(k \cdot t\right)}{\ell}}}{k \cdot k}\\
\end{array}
\]
| Alternative 7 |
|---|
| Accuracy | 60.1% |
|---|
| Cost | 1220 |
|---|
\[\begin{array}{l}
t_1 := \frac{\ell}{k \cdot k}\\
\mathbf{if}\;\ell \cdot \ell \leq 4 \cdot 10^{-244}:\\
\;\;\;\;\frac{2}{t} \cdot \left(t_1 \cdot t_1\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{2}{k} \cdot \frac{\ell}{\frac{k \cdot \left(k \cdot t\right)}{\ell}}}{k}\\
\end{array}
\]
| Alternative 8 |
|---|
| Accuracy | 58.0% |
|---|
| Cost | 960 |
|---|
\[\begin{array}{l}
t_1 := \frac{\ell}{k \cdot k}\\
\frac{2}{t} \cdot \left(t_1 \cdot t_1\right)
\end{array}
\]